Browse Topic: Fuel consumption

Items (2,585)
Helicopters' Vertical Take-Off and Landing (VTOL) capabilities are essential for maritime operations, especially for small-deck naval vessels. Unmanned Aerial Vehicles (UAVs) offer a cheaper, expendable, and efficient alternative for certain tasks, such as reducing pilot risk and lowering fuel consumption. While the procedures to approach and land on (moving) ships are standardized and bound to established operational limits in the case of crewed helicopters, UAVs lack such guidelines. This study investigates optimal rotary-wing UAV approach trajectories to a moving ship, for varying wind conditions and relative initial positions, and for different objectives. The goal is to provide preliminary guidelines for maritime UAV recovery operations, and a preliminary estimation of performance-based operational limits. The optimal trajectories are obtained using a global path-performance optimization framework based on Optimal Control Theory. The trajectories are compared to each other and to reference cases using the Longest Common SubSequence (LCSS) similarity measure, revealing how the unmanned helicopter adjusts its path to exploit the wind direction and profile for more efficient ground speeds. The violation of performance and/or geometric constraints is used to preliminarily indicate the presence of operational boundaries. The control effort and energy consumption are used to identify optimal starting positions for the helicopter approach phase for a given wind profile and intensity.
Pavel, MarilenaVoskuijl, MarkVarriale, CarmineZilver, Damy
This paper presents experimental research aimed at developing novel low lubrication methods for rotorcraft and jet engines, focusing on sustaining minimal lubrication to prevent catastrophic bearing failure during loss of lubrication (LoL) events or to increase fuel consumption performance on once-through, fuel-oil bearing lubrication engines. Utilizing two high-speed bearing test rigs simulating low and high thrust class engine conditions, the study establishes lower bounds for oil flow rates necessary to maintain thermal stability and prevent thermal runaway in hybrid ball bearings. These findings inform the design of the Zulu Pod (ZPod), a passively driven, self-contained oil delivery system that uses engine compressor bleed air to precisely meter lubricant flow. Engine test stand results demonstrate that replacing traditional fuel-oil lubrication with the ZPod system reduces thrust specific fuel consumption (TSFC) by an average of 7%, with up to 11% savings, without compromising engine thrust or bearing health. The ZPod offers a simplified, efficient alternative to fuel-lubricated systems by eliminating fuel diversion for lubrication, enhancing fuel efficiency, and maintaining bearing performance in attritable or single-use engines. Additionally, the study highlights the potential of minimal lubrication supplied by the ZPod to extend operational life during LoL scenarios, enabling safer aircraft recovery. Future work will focus on extending testing to higher thrust classes and optimizing ZPod designs for broader applications.
Boersma, PieterCurrier, ToddFerrante, JasonRosenthal, Julius
ABSTRACT A simulation capable of modeling grid-tied electrical systems, vehicle-to-grid (V2G) and vehicle-to-vehicle(V2V) resource sharing was developed within the MATLAB/Simulink environment. Using the steady state admittance matrix approach, the unknown currents and voltages within the network are determined at each time step. This eliminates the need for states associated with the distributed system. Each vehicle has two dynamic states: (1) stored energy and (2) fuel consumed while the generators have only a single fuel consumed state. One of its potential uses is to assess the sensitivity of fuel consumption with respect to the control system parameters used to maintain a vehicle-centric bus voltage under dynamic loading conditions.
Jane, Robert S.Parker, Gordon G.Weaver, Wayne W.Goldsmith, Steven Y.
In this paper, a comprehensive dynamic simulation of a parallel hybrid gas-electric single main rotor helicopter involving a motor/generator (MG) pair and a differential planetary gear transmission (PGT) arrangement forming an electronic continuously variable transmission (E-CVT) was performed. This notional hybrid electric helicopter was sized based on a retrofit of a dual engine, 10000 lb, 2500 Hp class helicopter. The total weight added by the electric components was 182 lbs which increased the propulsion system weight from 1184 to 1366 lbs. The simulation results found that at 110 kts cruise, the hybrid electric system enabled a 27% reduction in main rotor rpm which resulted in an 18% reduction in the fuel burn rate. It is concluded that use of an E-CVT parallel hybrid propulsion system offers potential for increased flight range and reduced fuel consumption in medium to large-scale helicopter applications.
DeSmidt, HansAi, Zhisheng
Abstract Exterior design modifications have crucial importance on vehicle aerodynamics. Therefore, it makes one of the key parameters to achieve to reduce the fuel consumption in diesel-, CNG-, and hybrid-powered engines and increase the range of electric vehicles (EVs). The slightest change in the vehicle exterior design can directly affect the vehicle aerodynamics. Thus, four different parameters (front windshield angle, front diffuser angle, rear diffuser angle, and fillet [bending] on the rear and front top) are reviewed on a conceptual 12 m long bus which is to be designed at Anadolu Isuzu. Computational fluid dynamics (CFD) simulations become a source for comparative evaluations in these studies. Simulations are carried out for all different models with a realizable k-epsilon turbulence model and enhanced wall treatment wall function. In conclusion, a positive aerodynamic effect is observed with parameters that are the windshield, front diffuser angle, and fillet on the rear and front top ends. On the other hand, a negative aerodynamic effect is observed when rear diffuser angle is applied. All simulations are compared based on drag coefficient values. The front windshield angle is found the most influential parameter on a conceptual vehicle design that can be provided a drag coefficient reduction of up to 51%.
Özcan, OnurYıldız, Alp Eren
Abstract The tightening of emission standards and homologation rules lead car manufacturers to rely on simulation testing in early development phases. Coupling an engine to a testbench controlled by a real-time simulation environment allows flexible, reliable, and reproducible testing for consumption and emission studies. However, interest in this method referred to as engine-in-the-loop (EiL) is relatively recent and few details can be found regarding the simulation environment. Following previous work, this study details a driver model based on the PI structure and augmented with preview and anti-windup. The focus is set on a conventional powertrain with a manual transmission for which the driver must also manage the clutch pedal during gearshift and take-off phases. Extended analysis of vehicle tests allows defining the driver’s behavior during these phases for different profiles. The driver model is then tested in the EiL environment and the impact of the gearshift profile on fuel consumption and pollutant emissions can be assessed. Besides the slight increase in fuel consumption, results show that increasing the gearshift duration degrades the regulation of the richness by the ECU, thus increasing CO engine-out emissions as well as decreasing NOx emissions. Finally, results suggest that a longer gearshift also affects the catalyst efficiency, which results in higher NOx tailpipe emissions.
Gilormini, ThomasChessé, PascalTauzia, XavierColin, Hervé
This SAE Standard applies to the fuel consumption of non-propulsion engines used to drive exclusively the sweeping and cleaning functions of multi-engine sweepers and scrubbers as defined in SAE J2130-1 and SAE J2130-2.
MTC2, Sweeper, Cleaner, and Machinery
Correlation between Sensor Performance, Autonomy Performance and Fuel-Efficiency in Semi-Truck Platoons2021-01-00644/6/2021
Semi-trucks, specifically class-8 trucks, have recently become a platform of interest for autonomy systems. Platooning involves multiple trucks following each other in close proximity, with only the lead truck being manually driven and the rest being controlled autonomously. This approach to semi-truck autonomy is easily integrated on existing platforms, reduces delivery times, and reduces greenhouse gas emissions via fuel economy benefits. Level 1 SAE fuel studies were performed on class-8 trucks operating with the Auburn Cooperative Adaptive Cruise Control (CACC) system, and fuel savings up to 10-12% were seen. Enabling platooning autonomy required the use of radar, global positioning systems (GPS), and wireless vehicle-to-vehicle (V2V) communication. Poor measurements and state estimates can lead to incorrect or missing positioning data, which can lead to unnecessary dynamics and finally wasted fuel. This is especially an issue if deceleration is applied in response to a bad measurement. In this study, a faulty radar was shown to cause a greater than 5% increase in fuel consumption. The mechanism of this fuel consumption increase is investigated and applied to other types of sensor failures to indicate their potential effects on fuel economy. This analysis indicates that poor GPS signals over short time can be largely filtered out, with no real gain or loss of fuel economy. V2V communications were intentionally limited by causing interference, which resulted in dropped communication packets over a small physical area, but not an appreciable impact on fuel economy.
Adam, CristianLakshmanan, SridharRichardson, PaulStegner, EvanWard, JacobHoffman, MarkBevly, David M.
There are a large number of curves and slopes in the mountainous areas. Unreasonable acceleration and deceleration in these areas will increase the burden of the brake system and the fuel consumption of the vehicle. The main purpose of this paper is to introduce a speed planning and promotion system for commercial vehicles in mountainous areas. The wind, slope, curve, engine brake, and rolling resistances are analyzed to establish the thermal model of the brake system. Based on the thermal model, the safe speed of the brake system is acquired. The maximum safe speed on the turning section is generated by the vehicle dynamic model. And the economic speed is calculated according to the fuel consumption model. The planning speed is provided based on these models. This system can guide the driver to handle the vehicle speed more reasonably. According to the simulation, compared to cruise control, speed planning can save fuel consumption at a mean value of 9.13% in typical mountainous areas. The field test of a typical commercial vehicle shows that this system can increase fuel efficiency by 4.26% compared to an experienced driver during a journey in a mountainous area.
Peng, DengzhiFang, KekuiTian, ZhongpengZhang, YuxiaoTan, Gangfeng
7.0.103 - High Fidelity Modeling and HIL Porting of a Hybrid Electric Car DevelopmentSAE-PP-002792/4/2021
A hybrid electric powertrain being a complex system requires analysis of all its subsystems to optimally utilize, size components for performance evaluation and control strategy development. An integrated high fidelity model of these can lower development costs, time and achieve the targeted performance while allowing for early redefinition of the system. A high fidelity model of a sedan car featuring chassis with longitudinal and lateral dynamics, suspension with joints, tires calculating longitudinal & lateral forces during vehicle motion, Engine model with combustion & dynamics of reciprocating and rotating components, Electric motors, Battery system, and gearbox with synchronizers and friction components was developed. Powertrain components were interconnected using 3D rotational flanges. Weight distribution was accomplished by appropriately locating various powertrain components using 3D supporting mounts, which help to study the mount forces as well. The environment definition covers aspects like type of terrain, gradient, ambient pressure, temperature & humidity and path velocities for a drive cycle. A driver model commands steering, accelerating and braking to follow the defined path. Model scalability could be accomplished in various levels like the engine model could be scaled from Crank Angle based to simple mean value. Thus, emphasizing on particular aspect of simulation like Fuel Economy or emission trials, powertrain dynamics study, etc. Model portability into third party systems provides flexibility in performing HIL simulations. This Dymola model is being used in the HIL testing of control strategies using RT-labs Opal-RT hardware. A major hurdle of computational overrun in real-time was overcome by splitting the plant model and accommodating in 3 different cores of the RT hardware.
Lname, Fname
The tiltrotor aircraft has the capability to extend its performance characteristics compared to the conventional helicopter. However, the performance features, namely the maximum flight duration and flight range, are determined by a series of factors, such as the nacelle angle, the aerodynamic interference, and the effect of the fuel consumption. In this article, a novel performance investigation method is put forward combining the flight dynamics model, the automatic differentiation arithmetic embedded inverse simulation method, and the fuel consumption model. Then, the maximum flight duration and range are calculated and analyzed. The results indicate that the maximum flight range of the example XV-15 tiltrotor is 837 km, and its maximum flight duration is 3.86 h, and both of the results occurs when the tiltrotor aircraft is in the airplane mode. Also, the fuel consumption is an influential aspect, and the control strategy should be altered across the flight to maintain the best performance. Lastly, the calculation efficiency of the method is validated, and the results show that the time-cost is lower than the real-time period, suggesting the real-time requirement is still satisfied.
Yuan, YeThomson, DouglasAnderson, David
The global aviation industry adopted a set of targets to mitigate CO2 emissions resulting from air transportation in 2009. The engine fuel burn is the main driver of CO2 emission; hence it will be the focus of this study. Rotorcraft are designed for supporting different types of missions or operations that are different from fixed wing aircraft. For this reason, the rotorcraft strategy for addressing the carbon impact should mainly target the new emerging technologies that will assist in reducing the fuel consumption and the deployment of Sustainable Aviation Fuels (SAF). This paper presents a forecast of the contribution level that could be achieved by rotorcraft industry in CO2 emission reduction in the period up to 2050. A projection of growth in civil rotorcraft fleet worldwide is provided as the starting point. Several new emerging technologies for both rotorcraft and engine together with the implementation scheme and their projected positive net impact on CO2 emission level are considered. Further, the contribution from SAF deployment in rotorcraft operation is analyzed. It is generally recognized that as much as 80% reduction in overall CO2 life cycle emission can be achieved from SAF relative to the fossil-based fuels or Conventional Aviation Fuels (CAF). However, some critical parameters used in predicting the SAF benefits remain uncertain. These pertain to fuel resources, economy, investment and policies. Therefore, consistent with previous studies, several fuel substitution scenarios are considered ranging from the most conservative to an optimistic projection.
Tjandra, AlbertusRouthieau, VincentChishty, WajidBasset, Pierre-MariePeluso, RobertBérat, Claude
The investigation presented in this paper is part of the international research project VARI-SPEED, which aims to invent a mass optimized speed variable drivetrain comprising a main gearbox with variable transmission ratio and a rotor suitable for rotor speed variation. A mass estimation model for the Sikorsky UH-60A drivetrain including a compound split was set up. Hydraulic, electric and mechanic variator technologies were investigated regarding their mass, torque and RPM properties. An optimization model was set up to find: 1.) The best variator technology for the mass optimized drivetrain. 2.) The best drivetrain for the mass optimized variator technology and 3.) The mass minimum if variator and drivetrain are considered both in the optimization loop. The research is performed to find out the influence of the variator technology on the mass and the design of the speed variable drivetrain. Furthermore, it is investigated, whether there is a preferable variator technology for rotor speed variation in rotorcraft. The investigation showed that the variator module has a significant influence on the optimal solution and that an individual optimization strategy is necessary for different drivetrain architectures as well as for different variator technologies. The electric variator technology seems to have the highest potential to enable an efficient variable rotor speed technology. At the moment the design is too heavy to gain benefits in efficiency. The mass estimation and optimization of the whole drivetrain including the variator is the basis to enable an assessment of usability of the variable rotor speed technology. Variation of the rotor speed within the drivetrain enables the turboshaft engine, the rotor and the auxiliary units each to operate at their optimal speeds. Rotor speed variation can overcome the divergent requirements between hover and fast forward flight, which is important for future rotorcraft like inventions in Future Vertical Lift (FVL) in the USA and CleanSky in Europe. Furthermore, it increases the efficiency, decreases fuel consumption andCO2- emission and reduces noise and environmental impact of rotorcraft.
Amri, HannsDonner, FlorianBraumann, LorenzHuber, FelixWeigand, Michael
A phenomenological simulation for a variable-voltage hybrid-electric powertrain was developed and compared with test data acquired on a 4 hp powertrain to understand the fundamental characteristics of such a system. The powertrain was modeled component by component, and compared with over 500 experimental data points, from the engine alone to the engine generator, to the engine-generator with four distributed propulsors. The principal conclusion of the predictive simulation and the experimental data was that generator voltage is a key parameter that needs careful control relative to rotor speed. For any operating state -- defined by rotor torque and RPM -- the generator voltage should be minimized to minimize engine specific fuel consumption. In general the system is influenced more by the engine generator than electric motors. Hence greater rotor torque and lower rotor RPM is desired. It was found that steady state performance can be confidently predicted with the engine model, if the thermal efficiency is calibrated with engine data. The overall understanding gained from this work is that the optimal operation of hybrid-electric powertrains in VTOL is closely coupled with controls and rotor aeromechanics as well as engine gas dynamics and thermodynamics, but can be captured with relatively simple phenomenological models.
Mills, BrentDatta, Anubhav
Automobile manufactures need to adopt new technologies to meet global CO2 (carbon dioxide) emission regulations and better fuel efficiency demands from customers. Also, the production cost should be as low as possible for an affordable vehicle. Therefore, it is advantageous for OEMs to develop fuel efficient technologies which can be controlled by software without additional hardware costs. The coasting control is a fuel efficiency improvement technology that can be implemented by the change of vehicle software only. The coasting control is a technology that reduces the driving resistance (Deceleration) when the driver releases the gas pedal. This technology leads to reducing the energy required for the vehicle to drive and results in improving the real-world fuel economy. In an internal combustion engine (ICE) vehicle, the coasting state is achieved by changing the gear to neutral, and the effect has been discussed and clarified by many previous studies. On the other hand, in the coasting state of a hybrid vehicle, the regenerative energy to the motor is reduced while the driver releases the gas pedal. The coasting control of a hybrid vehicle tends to be perceived as deteriorating the fuel efficiency because the regenerative energy decreases. In this study, relations of the vehicle deceleration and the fuel economy (vehicle energy consumption) of a hybrid vehicle were studied quantitatively. In addition, we confirmed that the coasting technology was effective to improve fuel economy (reducing CO2) based on the real-world big data.
Yamaguchi, Tomoya
Development and Demonstration of a New Range-Extension Hybrid Powertrain Concept2020-01-08454/14/2020
A new range-extension hybrid powertrain concept, namely the Tongji Extended-range Hybrid Technology (TJEHT) was developed and demonstrated in this study. This hybrid system is composed of a direct-injection gasoline engine, a traction motor, an Integrated Starter-Generator (ISG) motor, and a transmission. In addition, an electronically controlled clutch between the ISG motor and engine, and an electronically controlled synchronizer between the ISG motor and transmission are also employed in the transmission case. Hence, this system can provide six basic operating modes including the single-motor driving, dual-motor driving, serial driving, parallel driving, engine-only driving and regeneration mode depending on the engagement status of the clutch and synchronizer. Importantly, the unique dual-motor operation mode can improve vehicle acceleration performance and the overall operating efficiency. The hybrid system controls and energy management strategy based on equivalent fuel consumption minimization were developed and validated. The choice of an operating mode is optimized according to the drivers’ demand, actual vehicle state, operation conditions, and other boundary conditions. In this paper, the powertrain architecture and operating modes are firstly described. Secondly, the hybrid control strategy is introduced, which includes the control architecture, energy management strategy, torque structure and coordination, and controls of the engine, clutch, and synchronizer. Thirdly, the development of a prototype vehicle with the use of the TJEHT system is discussed. Based on the simulation analysis, the key specifications of the major components such as the motors’ peak powers and torques are defined. The vehicle performance is compared in the simulations between using the TJEHT system and the one without the dual-motor driving mode to show the advantages of the TJEHT system. Finally, the results of the powertrain dyno experiments and vehicle road tests are reported. The functional requirements and operating modes of the hybrid powertrain were demonstrated and validated.
Han, ZhiyuWu, ZhenkuoGao, XiaojieSun, YongzhengNi, RunyuFeng, Jianzhong, JianChen, XinboZhao, ZhiguoYu, Zhuoping
Development of RC-IGBT with a New Structure That Contributes to Both Reduced Size of Power Control Unit and Low Loss in Hybrid Electric Vehicles2020-01-05964/14/2020
In order to improve the fuel efficiency of Hybrid Electric Vehicles (HEVs), it is necessary to reduce the size and power loss of the HEV Power Control Units (PCUs). The loss of power devices (IGBTs and FWDs) used in a PCU accounts for approximately 20% of electric power loss of an HEV. Therefore, it is important to reduce the power loss while size reduction of the power devices. In order to achieve the newly developed PCU target for compact-size vehicles, the development targets for the power device were to achieve low power loss equivalent to its previous generation while size reduction by 25%. The size reduction was achieved by developing a new RC-IGBT (Reverse Conducting IGBT) with an IGBT and a FWD integration. As for the power loss aggravation, which was a major issue due to this integration, we optimized some important parameters like the IGBT and FWD surface layout and backside FWD pattern. As a result, it was possible to avoid the snapback characteristic (IGBT loss aggravation). In addition the substrate thickness was reduced by 24% compared to its previous generation. In order to address the deterioration of breakdown voltage due to a thinner substrate, the buffer layer structure was optimized to achieve the loss target while ensuring both high breakdown voltage performance and reliability. Parts reduction of the power module equipped with this new RC-IGBT greatly contributed to achieving downsizing and low power loss of the newly developed PCU, and helping the improvement of fuel efficiency for new compact-size HEVs.
Murakami, KoichiRahman, TasbirKimura, KeisukeKonishi, MasakiIguchi, HirokoKawaji, Sachiko
Today, the contribution of the transportation sector on greenhouse gases is evident. The fast consumption of fossil fuels and its impact on the environment have given a strong impetus to the development of vehicles with better fuel economy. Hybrid electric vehicles fit into this context with different targets, starting from the reduction of emissions and fuel consumption, but also for performance and comfort enhancement. Lamborghini has recently invested in the development of a hybrid super sport car, due to performance and comfort reasons. Aventador series gearbox is an Independent Shift Rod gearbox with a single clutch and during gear shifts, as all the single clutch gearbox do, it generates a torque gap. To avoid the additional weight of a Dual Clutch Transmission, a 48V Electric Motor has been connected to the wheels, in a P3 configuration, to fill the torque gap, and to habilitate regenerative braking and electric boost functions. This paper discusses the usage of a control-oriented vehicle and powertrain model to analyze the performance of the first Lithium Ion Capacitor-based hybrid V12 by Automobili Lamborghini. The internal combustion engine, the gearbox, the LiC and the vehicle longitudinal dynamics models have been initially validated through the comparison with experimental data from chassis dynamometer testing, in addition to experimental results from specific components’ testing. As shown in the paper, the validated model has then been used to develop control strategies aimed at increasing comfort and performance, but also to expand the hybrid system capabilities by widening the LiC working range, and to study the possibility of implementing CO2 reduction-oriented control functions.
Franceschi, AlessandroCavina, NicoloParenti, RiccardoReggiani, MaurizioCorti, Enrico
Effect of Oil Viscosity and Driving Mode on Oil Dilution and Transient Emissions Including Particle Number in Plug-In Hybrid Electric Vehicle2020-01-03624/14/2020
Plug-in electric vehicle (PHEV) has a promising prospect to reduce greenhouse gas (GHG) emission and optimize engine operating in high-efficiency region. According to the maximum electric power and all-electric range, PHEVs are divided into two categories, including “all-electric PHEV” and “blended PHEV” and the latter provides a potential for more rational energy distribution because engine participates in vehicle driving during aggressive acceleration not just by motor. However, the frequent use of engine may result in severe emissions especially in low state of charge (SOC) and ahead of catalyst light-off. This study quantitatively investigates the impact of oil viscosity and driving mode (hybrid/conventional) on oil dilution and emissions including particle number (PN). Two cycles, WLTC (World-wide Harmonized Light Duty Driving Test Cycle) and continuous ECE 15 (European Driving Cycle), were adopted and initial SOC was controlled in the range of 10-13%, which can induce more engine start events. Oil dilution is detected through method of ASTM D3525-04 to identify dilution rate under different conditions. Results show that both in WLTC and ECE 15, frequent engine start will causes high PN and unburned hydrocarbon emissions while NOx is substantially reduced due to relatively low engine loads except in first cold start. Intermittent engine start also significantly accelerates dilution rate but this rate for 5W-30 increases more rapidly than 0W-20 does in hybrid driving mode. Moreover, 5W-30 oil increases fuel consumption due to higher friction work compared to 0W-20 does and the emission of PN along with NOx and THC is also increased.
Fan, QinhaoWang, YunfeiXiao, JianhuaWang, ZhiLi, WeiziJia, TianZheng, BinTaylor, Robert
A New Simulation Approach of Estimating the Real-World Vehicle Performance2020-01-03704/14/2020
Due to the variability of real traffic conditions for vehicle testing, real-world vehicle performance estimation using simulation method become vital. Especially for heavy duty vehicles (e.g. 40 t trucks), which are used for international freight transport, real-world tests are difficult, complex and expensive. Vehicle simulations use mathematical methods or commercial software, which take given driving cycles as inputs. However, the road situations in real driving are different from the driving cycles, whose speed profiles are obtained under specific conditions. In this paper, a real-world vehicle performance estimation method using simulation was proposed, also it took traffic and real road situations into consideration, which made it possible to investigate the performance of vehicles operating on any roads and traffic conditions. The proposed approach is applicable to all kind of road vehicles, e.g. trucks, buses, etc. In the method, the real-road network includes road elevation. The traffic conditions and vehicles parameters were the inputs for traffic simulation. Based on the outputs (speed profiles and elevations) of target vehicles in the traffic simulation, then the real-world performance of the vehicle was achieved by vehicle simulation under the given traffic conditions. The fuel consumption of the vehicle calculated using this method was 34.00 L/100 km under free traffic flow conditions over highway route.
Gao, JianbingChen, HaiboChen, JunyanDave, Kaushali
The Development of JASO GLV-1 Next Generation Low Viscosity Automotive Gasoline Engine Oils Specification2020-01-14264/14/2020
It is well understood that using lower viscosity engine oils can greatly improve fuel economy [1, 2, 3, 4]. However, it has been impossible to evaluate ultra-low viscosity engine oils (SAE 0W-12 and below) utilizing existing fuel economy test methods. As such, there is no specification for ultra-low viscosity gasoline engine oils [5]. We therefore developed firing and motored fuel economy test methods for ultra-low viscosity oils using engines from Japanese automakers [6, 7, 8]. This was done under the auspices of the JASO Next Generation Engine Oil Task Force (“TF” below), which consists mainly of Japanese automakers and entities working in the petroleum industry. Moreover, the TF used these test methods to develop the JASO GLV-1 specification for next-generation ultra-low viscosity automotive gasoline engine oils such as SAE 0W-8 and 0W-12. In developing the JASO GLV-1 specification, Japanese fuel economy tests and the ILSAC engine tests for evaluating engine reliability were used. The fuel-saving performance and engine protection performance of four reference oils (two of them SAE 0W-8, the other two SAE 0W-16) and three demonstration oils (SAE 0W-8) were evaluated. The results indicated that these test methods could be used to evaluate SAE 0W-8 oils. The JASO GLV-1 specification values were then considered. In the fuel economy tests, the demonstration oils GE308 and GE408 showed superior fuel-saving performance compared to a general purpose fuel-efficient SAE 0W-16 engine oil (GE216) formulated without a molybdenum friction modifier. In the engine reliability tests, only GE308 satisfied the ILSAC GF-5 requirements. These results confirmed that ultra-low viscosity oils such as SAE 0W-8 can provide high fuel-saving performance and sufficient engine protection. In the JASO GLV-1 specification, the requirement for fuel economy was set based on fuel economy tests performed using engines from Japanese automakers, and the requirements for engine protection were set based on the ILSAC GF-5 tests. We have also confirmed that GE308 fully meets the specification, which became effective in April 2019.
Yoshida, SatoruYamamori, KazuoHirano, SatoshiSagawa, TakumaruOkuda, SachikoMiyoshi, TaisukeYukimura, Sadao
Design of a Mild Hybrid Electric Vehicle with CAVs Capability for the MaaS Market2020-01-14374/14/2020
There is significant potential for connected and autonomous vehicles to impact vehicle efficiency, fuel economy, and emissions, especially for hybrid-electric vehicles. These improvements could have large-scale impact on oil consumption and air-quality if deployed in large Mobility-as-a-Service or ride-sharing fleets. As part of the US Department of Energy's current Advanced Vehicle Technology Competition (AVCT), EcoCAR: The Mobility Challenge, Mississippi State University’s EcoCAR Team is redesigning and doing the development work necessary to convert a conventional gasoline spark-ignited 2019 Chevy Blazer into a hybrid-electric vehicle with SAE Level 2 autonomy. The target consumer segments for this effort are the Mobility-as-a-Service fleet owners, operators and riders. To accomplish this conversion, the MSU team is implementing a P4 mild hybridization strategy that is expected to result in a 30% increase in fuel economy over the stock Blazer. MATLAB models of the vehicle system shows the potential for additional improvement with the use of connected and autonomous features in the vehicle. This paper presents the design rationale for selection of the P4 strategy, vehicle modeling, and fuel economy simulation results completed during Year 1 of the competition. A detailed discussion of further improvements arising from incorporating connected and autonomous technology strategies, focusing on longitudinal control methods is also presented.
Taoudi, AmineHaque, Moinul ShahidulStrzelec, AndreaFollett, Randolph
Brake Power Availability Led Optimisation of P0 versus P2 48V Hybrid Powertrain Architectures2020-01-04394/14/2020
Through improving the 48V hybrid vehicle archetype, governmental emission targets could be more easily met without incurring the high costs associated with increasing levels of electrification. The braking energy recovery function of hybrid vehicles is recognised as an effective solution to reduce emissions and fuel consumption in the short to medium term. The aim of this study was to evaluate methods to maximise the braking energy recovery capability of the 48V hybrid electric vehicle over pre-selected drive cycles using appropriately sized electrified components. The strategy adopted was based upon optimising the battery chemistry type via specific power capability, so that overall brake power is equal to the maximum battery charging power in a typical medium-sized passenger car under typical driving. This will maximise the regenerative braking energy whilst providing a larger torque assistance for a lower battery capacity. Dynamic simulation models were developed using GT-DRIVE software, emulating a mid-sized car with a 48V battery, and different turbocharged gasoline engines with motor-generator unit positions along a drivetrain. The 1.3 kWh battery pack was developed using a 14 Ah Lithium Iron Phosphate cell arranged in a 14 series 2 parallel configuration. A fuel economy comparison was produced using the FTP, WLTP, and HEFET drive cycles. When the motor-generator unit was attached via a synchronous belt, a 10-17% fuel saving was achieved in the WLTP drive cycle. Comparatively, when placing the electric machine after the clutch in a “P2” position, a 17-21% fuel saving was attained. The energy loss analysis of both P2 and P0 configurations revealed up to 7% overall reduction in total energy losses for the P2 setup. This was despite an increase in the motor-generator unit and battery losses due to the extended use of both in the electric-only mode capability with the P2 layout.
Alnamasi, KhaledTerry, SimonLa Rocca, AntoninoCairns, Alasdair
Effects of Using an Electrically Heated Catalyst on the State of Charge of the Battery Pack for Series Hybrid Electric Vehicles at Cold Start2020-01-04444/14/2020
Battery models are being developed as a component of the powertrain systems of hybrid electric vehicles (HEVs) to predict the state of charge (SOC) accurately. Electrically heated catalysts (EHCs) can be employed in the powertrains of HEVs to reach the catalyst light off temperature in advance. However, EHCs draw power from the battery pack and hence sufficient energy needs to be stored to power auxiliary components. In series HEVs, the engine is primarily used to charge the battery pack. Therefore, it is important to develop a control strategy that triggers engine start/stop conditions and reduces the frequency of engine operation to minimize the equivalent fuel consumption. In this study, a battery pack model was constructed in MATLAB-Simulink to investigate the SOC variation of a high-power lithium ion battery during extreme engine cold start conditions (-7°C) with/without application of an EHC. The EHC was simulated in MATLAB to determine the energy required to heat the catalyst during cold start conditions. The effect of the EHC in emissions purification at -7°C was studied using a three-way catalyst (TWC) model. The EHC was operated only during the initial few seconds before the engine start to increase the bed temperature of the catalyst. This was found to have a significant impact on exhaust gas emissions even under cold start conditions. However, powering the EHC lowered the SOC of the battery pack, triggering the engine to run and consume more fuel. Hence, an engine ON/OFF control strategy was proposed to control the engine operation conditions and effectively charge the battery pack. The SOC variation of the battery pack and the effects on emissions and fuel consumption were simulated and compared with/without the EHC. The battery model was validated with a control strategy proposed in simulations at 23°C and a parameter study was conducted at -7°C.
Sivakumar, SuchitraShingyouchi, HajimeYan, XieyangOkajima, ToshinoriYamaguchi, KyoheiKusaka, JinNagata, Makoto
Evaluation of Methods for Identification of Driving Styles and Simulation-Based Analysis of their Influence on Energy Consumption on the Example of a Hybrid Drive Train2020-01-04434/14/2020
Due to current progresses in the field of driver assistance systems and the continuously growing electrification of vehicle drive trains, the evaluation of driver behavior has become an important part in the development process of modern cars. Findings from driver analyses are used for the creation of individual profiles, which can be permanently adapted due to ongoing data processing. A benefit of data-based dynamic control systems lies in the possibility to individually configure the vehicle behavior for a specific driver, which can contribute to increasing customer acceptance and satisfaction. In this way, an optimization of the control behavior between driver and vehicle and the resulting mutual system learning and -adjustment hold great potential for improvements in driving behavior, safety and energy consumption. The submitted paper deals with the analysis of different methods and measurement systems for the identification and classification of driver profiles as well as with their potential to optimize both vehicle driving behavior and energy consumption on the example of a hybrid drive train. A literature research results in a number of different approaches of evaluation, which are analyzed, linked and adapted in the publication. As a result, an evaluation of the connection between different methods of driver profile determination is given. Data collection and interviews have been performed during twenty test drives on a defined route profile with different measurement systems and methods. The acquired data form the basis for a comparison and an analysis of a comprehensive driving style classification. Subsequently, a framework for computer-aided investigations of the influences of driver behavior on the control of drive trains is established by use of an existed simulation model of a hybrid drive train. Finally, a driver model is implemented based on the learnings out of analyzing the measurements and surveys. The evaluation of the measurement campaigns delivers detailed information about vehicle longitudinal acceleration behavior in different driving scenarios. This information is used to classify the individual driving styles into the types calm, normal and aggressive. This driving style-related information can be integrated into the control strategy of a hybrid power train to support operation strategy optimization regarding both driver satisfaction and reduction of energy-, respectively fuel consumption.
Domijanic, MarkoHirz, MarioPucher, Gregor
Using Design of Experiments to Size and Calibrate the Powertrain of Range-Extended Electric Vehicle2020-01-08494/14/2020
A Range-Extended Electric Vehicle (REEV) usually has an auxiliary power source that can provide additional range when the main Rechargeable Energy Storage System (RESS) runs out. The range extender can be a fuel cell, a gas turbine, or an Internal Combustion Engine (ICE) bolted to a generator. Sizing the powertrain for a REEV is primarily to investigate the relationship between the capacity of the main RESS and the power rating of the range extender. Worldwide harmonized Light vehicles Test Procedures (WLTP) introduced a Utility Factor (UF) which is a curve used to calculate the weighted test results for the Off-Vehicle Charging-Hybrid Electric Vehicle (OVC-HEV) from the measured Charge Depleting (CD) mode range result, and the Charge Sustaining (CS) mode Fuel Consumption (FC). Therefore, the RESS capacity, the range extender power rating, the control strategy, and the UF are the key factors affecting the weighted FC of a REEV on the test cycle. The aim of this study is to demonstrate a fast approach to develop REEV powertrain concepts. It can size the capacity of the RESS (assumed electric battery for this paper), the power rating of the range extender and meanwhile consider the control strategy and the UF for a REEV, using simulation and Design of Experiments (DoE) tools. For the selected REEV powertrain, a DoE test matrix of the battery capacity, range extender power rating, and control strategy was created. The test cases were then imported into the simulation environment to perform the driving cycle simulations. After that, the simulation results (along with the UF) were used to calculate the weighted FC. Finally, a REEV weighted FC emulator model was created and interrogated using model visualisation and optimisation methods. Furthermore, the weighted FC’s calculated by using different regional Utility Factors were compared and discussed.
Bao, RanBaxter, JamesRevereault, Pascal
On the way to emission-free mobility, future fuels must be CO2 neutral. To achieve this, synthetic fuels are being developed. In order to better assess the effects of the new fuels on the engine process, simulation models are being developed that reproduce the chemical and physical properties of these fuels. In this paper, the fuel DMC+ is examined. DMC+ (a mixture of dimethyl carbonate (DMC) and methyl formate (MeFo) mainly, characterized by the lack of C-C Bonds and high oxygen content) offers advantages with regard to evaporation heat, demand of oxygen and knock resistance. Furthermore, its combustion is almost particle free. With the aid of modern 0D/1D simulation methods, an assessment of the potential of DMC+ can be made. It is shown that the simulative conversion of a state-of-the-art gasoline engine to DMC+ fuel offers advantages in terms of efficiency in many operating points even if the engine design is not altered. This is mainly due to the higher knock resistance and the lower temperatures in the intake stroke resulting from the higher amount of evaporated fuel. For a fixed amount of fuel energy, a lower air mass flow rate is needed, making the fuel particularly interesting for down-sizing concepts. Therefore, the engine design is adapted for the new fuel to take full advantage of the fluid properties. In a first step, the adaptions include the compression ratio, the engine displacement and the turbocharger matching. A considerable efficiency gain in the whole operating range can be demonstrated, making DMC+ a highly promising prospective for future SI engines.
Wagner, CorneliusGrill, MichaelKeskin, Mahir-TimBargende, MichaelCai, LimingPitsch, Heinz
The assessment of fuel economy of new vehicles is typically based on regulatory driving cycles, measured in an emissions lab. Although the regulations built around these standardized cycles have strongly contributed to improved fuel efficiency, they are unable to cover the envelope of operating and environmental conditions the vehicle will be subject to when driving in the “real-world”. This discrepancy becomes even more dramatic with the introduction of Connectivity and Automation, which allows for information on future route and traffic conditions to be available to the vehicle and powertrain control system. Furthermore, the huge variability of external conditions, such as vehicle load or driver behavior, can significantly affect the fuel economy on a given route. Such variability poses significant challenges when attempting to compare the performance and fuel economy of different powertrain technologies, vehicle dynamics and powertrain control methods. This paper describes a methodology to benchmark the fuel consumption reduction potential of a Level 1 Connected and Automated Vehicle (CAV) with advanced cylinder deactivation and 48V mild hybridization, in the presence of variability induced by route characteristics, traffic and driver behavior. An Intelligent Driving system utilizes advanced route information available from the navigation system and GPS, as well as a V2X communication module to determine the optimal vehicle velocity and battery state of charge profiles that aim at minimizing fuel consumption along a driver-selected route without sacrificing travel time. Since the presence of traffic and the behavior of different drivers strongly affects the fuel consumption and vehicle travel time, a Monte Carlo simulation is conducted to determine the statistical distribution of the results when introducing variability in the inputs. Fuel efficiency benefits are dependent on the route characteristics, traffic conditions and driver behavior. For the route evaluated in this paper, numerical results show as much as 15% to 19% reduction in fuel consumption, compared to a mild hybrid baseline vehicle without cylinder deactivation and CAV features.
Gupta, ShobhitRajakumar Deshpande, ShreshtaTufano, DanielaCanova, MarcelloRizzoni, GiorgioAggoune, KarimOlin, PeteKirwan, John
This paper investigates the performance and combustion characteristics of a compression ignition engine (CI engine) fueled with Used Cooking Oil Biodiesel (UCOB) and ethanol in dual fuel mode. In this study, UCOB was injected as the main fuel through a conventional mechanical fuel injection system. Various mass flow rates of ethanol were inducted as primary fuel through the engine intake manifold using a separate fuel injection system. Mass flow rates of ethanol were metered by an electronic control circuit. The engine test was conducted under different load conditions from no load to full load in a fully instrumented direct injection, water-cooled compression ignition engine. The results indicated that the dual fuel engine produced higher brake thermal efficiency, cylinder pressure, heat release rate with lower specific fuel consumption at a higher load condition. However, it was found that combustion characteristics improved marginally at the lower load conditions.
Velmurugan, RamanathanMayakrishnan, JaikumarPalanimuthu, VijayabalanNandagopal, SasikumarElumalai, SangeethkumarAnaimuthu, ShridharBusireddy, Vamshidhar
Engine-in-the-Loop Study of a Hierarchical Predictive Online Controller for Connected and Automated Heavy-Duty Vehicles2020-01-05924/14/2020
This paper presents a cohesive set of engine-in-the-loop (EIL) studies examining the use of hierarchical model-predictive control for fuel consumption minimization in a class-8 heavy-duty truck intended to be equipped with Level-1 connectivity/automation. This work is motivated by the potential of connected/automated vehicle technologies to reduce fuel consumption in both urban/suburban and highway scenarios. The authors begin by presenting a hierarchical model-predictive control scheme that optimizes multiple chassis and powertrain functionalities for fuel consumption. These functionalities include: vehicle routing, arrival/departure at signalized intersections, speed trajectory optimization, platooning, predictive optimal gear shifting, and engine demand torque shaping. The primary optimization goal is to minimize fuel consumption, but the hierarchical controller explicitly accounts for other key objectives/constraints, including operator comfort and safe inter-vehicle spacing. This work is experimentally experimentally validated via a sequence of EIL studies intended for evaluating the computational costs and fuel savings associated with these algorithms. These EIL studies involve the closed-loop validation of the proposed control strategies, both individually and combined. These studies show that this hierarchy of algorithms is capable of running online, with the round-trip communication delay inherent in EIL simulation being one of the key factors affecting the EIL results. Moreover, the EIL studies are encouraging, both in terms of the successful hierarchical integration of the underlying algorithms and also in the resulting fuel savings seen in the EIL tests. In particular, the EIL results suggest that an aggressive overall goal of reducing vehicle fuel consumption by 15-20% or more is potentially achievable, especially in urban/suburban scenarios.
Xu, ChuGroelke, BenAlvarez Tiburcio, MiguelEarnhardt, ChristianBorek, JohnPelletier, EvanBoyle, StephenHuynh, BrianWahba, MohamedGeyer, StephenGraham, ChristopherMagee, MarkPalmeter, KyleNaghnaeian, MohammadBrennan, SeanStockar, StephanieVermillion, ChristopherFathy, Hosam
Onboard Ethanol-Gasoline Separation System for Octane-on-Demand Vehicle2020-01-03504/14/2020
Bioethanol is being used as an alternative fuel throughout the world based on considerations of reduction of CO2 emissions and sustainability. It is widely known that ethanol has an advantage of high anti-knock quality. In order to use the ethanol in ethanol-blended gasoline to control knocking, the research discussed in this paper sought to develop a fuel separation system that would separate ethanol-blended gasoline into a high-octane-number fuel (high-ethanol-concentration fuel) and a low-octane-number fuel (low-ethanol-concentration fuel) in the vehicle. The research developed a small fuel separation system, and employed a layout in which the system was fitted in the fuel tank based on considerations of reducing the effect on cabin space and maintaining safety in the event of a collision. The total volume of the components fitted in the fuel tank is 6.6 liters. It was demonstrated that the onboard fuel separation system possessed sufficient control performance in practical use in actual driving environments. In addition, measurements of fuel separation speed in LA4 driving cycle showed that the system was able to separate the fuel at a speed higher than the speed of consumption of high-octane-number fuel necessary for the engine. The ethanol concentration of the separated fuel was approximately 90%. This figure represents a sufficient octane number to control knocking in high-compression-ratio engines under high-load conditions. The power consumption of the fuel separation system was approximately 350W. Taking the increase in engine fuel efficiency into consideration, it is possible to expect an increase of approximately 15% in fuel efficiency for the vehicle as a whole.
Chishima, HiroshiTsutsumi, DaikoKitamura, Toru
Experimental Comparison of Biogas and Natural Gas as Vibration, Emission, and Performance in a Diesel Engine Converted to a Dual Fuel04-13-01-00041/27/2020
Biogas, natural gas, and their usage in the diesel engine will be important in the future. For this purpose, the effects of biogas on engine performance, emissions, and engine vibrations of the diesel engines with dual fuel system are investigated in comparison with natural gas. It has also been included in evaluating the deformation of the engine oil due to hydrogen sulfide combustion reactions. In this study, a constant speed, naturally aspirated, and direct injection of the diesel engine with volume of 2.5 liter has been converted into a dual fuel system that can be included in gas fuels. In order to determine engine performance, exhaust emissions, engine vibration, and noise, the tests were carried out at load stages of 5, 10, 15, 20, and 25 kW and at a constant speed of 1500 rpm. The experiments were first performed in a mono operation condition of the conventional diesel fuel. Subsequently, tests were repeated under natural gas/diesel and biogas/diesel dual fuel operation conditions, respectively. As a result of the tests, it was observed that the vibration amount decreased and the noise emission was reduced by 3.5% in all stages where biogas was used as the main fuel. Depending on fuel or operation system change, no significant change was observed in cylinder block, cylinder heat, exhaust, and intake manifold temperature. The exhaust gas temperature is measured to be lower because of the carbon dioxide (CO2) content in the biogas. When approaching from the point view of engine emissions, it was determined that the carbon monoxide (CO) emission increased at all engine loads while a decrease of 50% in oxides of nitrogen (NOx) emission occurred.
Aytav, EmreKoçar, GünnurTeksan, Abdulhalik Emre
Reducing carbon dioxide (greenhouse gas) is one of the most important drivers to promote biofuels. Fuel from biomass has the potential to reduce greenhouse gas emissions and can gradually reduce the dependence on fossil fuels. However, fuel properties can differ significantly from standard diesel fuel and this will affect exhaust emissions and environmental pollution. Diesel – ethanol fuel blends development and specification are currently driven by the engine technology, existing fossil fuel specification and availability of feedstock. Thus, the aims of this study to investigate the effects of fuel additives with diesel–ethanol fuel blend under steady-state conditions. In the present study, the additives were palm diesel, n-butanol, ethyl acetate and di-tert-butyl peroxide (DTBP). The ratio of conventional diesel fuel to ethanol fuel to fuel additive are 80:15:5 by volume of fuel blends. The comparative studies on the effects of fuel additives in the engine performance and phase separation in diesel–ethanol blends. The effects of engine performance included exhaust gas emissions with different fuel additives on small diesel engine are also investigated under different engine conditions in order to considering the engine speed and engine load comparison with conventional diesel. The study found that all the additives are enhanced the stabilities in diesel–ethanol fuel blends and phase separation has not be found under the room temperature. The diesel–ethanol fuel blend with DTBP can improved the highest thermal efficiency with lower exhaust gas emission (e.g. carbon-monoxide, oxides of nitrogen, and soot) compare with conventional diesel with another fuel additives. However, the break specific fuel consumption is higher (>4%) than conventional diesel which could be acceptable range. The results suggest that significant benefits can derive from the use of di-tert-butyl peroxide as fuel additive for diesel and ethanol fuel blends as the alternative fuel for compression ignition engine in terms of engine performance, exhaust gas emissions, after treatment system performance and environmental pollution in the near future.
Theinnoi, KampanartSawatmongkhon, BoonlueWongchang, ThawatchaiSukjit, EkarongChuepeng, Sathaporn
Utilization of Castor Oil-Based Ethyl Ester Biodiesel in a Diesel Engine2019-32-06061/24/2020
Biodiesel was prepared through transesterification of castor oil and ethanol. The optimization of parameters related to the yield of transesterification, such as oil to ethanol molar ratio, concentration of catalyst, reaction temperature and reaction time, was investigated. The results indicated that the optimum condition for castor oil ethyl ester (COEE) production was 1:12 oil to ethanol molar ratio, 1.5% catalyst concentration, 40 °C reaction temperature and 150 minutes reaction time. To avoid extremely high viscosity of castor oil which can affect the fuel injection system, COEE was blended with commercial diesel fuel at different concentrations ranged from 5%-15% volume and key properties of fuel blends, mainly focused on fuel lubricity and viscosity were evaluated. The presence of 8% COEE in diesel fuel was concluded as the optimum concentration because the smallest wear scar diameter was obtained after the lubricity test and its viscosity was within acceptable limits prescribed by the standard specification of diesel fuel. Consequently, the blend of 8% COEE and diesel fuel was selected in the engine test. The results showed that the addition of 8% COEE to diesel fuel can improve brake thermal efficiency and brake specific fuel consumption. Moreover, the reduction in carbonaceous gas emissions and oxides of nitrogen was obtained by the combustion of the COEE blend.
Pumpuang, AnupapMaithomklang, SomkiatSukjit, EkarongDejvajara, DisatornSamaiklang, PhannathonSanluecha, SomluethaiTongroon, Manida
Study of the Variable Valve Timing Effects on Combustion Quality and Fuel Consumption of an Internal Combustion Engine2019-36-01171/13/2020
The need for a constant evolution of internal combustion engines has encouraged the emergence of new alternatives for the minimization of pollutant emissions, fuel consumption and an increase of the overall performance. The coming years will be marked by the launch of increasingly efficient engines, given the current importance of sustainability in the means of transport. Despite the growing electrification of global mobility, research indicates that the ICE will continue to be the main source of automotive energy in the coming years and, therefore, the study of strategies aimed at optimizing its performance is and will continue to be relevant. In this sense, the purpose of this work is to study the effects of variable valve timing on the experimental calibration of an internal combustion engine intended for research. Different moments of opening and closing of both the intake and exhaust valves were analyzed so that the possible reductions in the specific fuel consumption and the combustion quality improvements could be studied in tests always aimed at maximizing the fuel conversion efficiency. The purpose was to comply with the trend of the current automotive industry, which aims at the production of engines according to international environmental protocols, increasingly restricted in terms of reducing their impact on nature. To this end, two of the most representative fuels in the Brazilian market were tested, the E27 and E100, with particular reference to ethanol, a renewable biofuel with enormous potential to supply the country's future automotive fleet.
Teixeira Malaquias, Augusto CésarDiniz Netto, Nilton AntonioCoelho Baêta, José GuilhermeTeixeira, Alysson FernandesPassos Costa, Sérgio Augusto
Stop & Start technology influence on Brazilian urban off-cycle - Simulated versus experimental data analysis2019-36-02861/13/2020
The applied technologies to increase vehicle energy efficiency oftentimes have not shown the same benefits in standard laboratory testing when compared to off-cycle. The off-cycle values represent a substantial amount of the overall regulated reduction in emissions for the regulatory programs and the exact extent of this benefice depends on how large the regulatory reduction is considered. In many countries, the energy efficiency legislation considers the off-cycle credits, since it has been demonstrated, and encourages the automakers to use new and innovative technologies, resulting in improvements in vehicle energy efficiency. On the other hand, off-cycle benefits are difficult to measure due to the changes in the environmental conditions, traffic, temperature and others. The vehicles operating in real life have more diverse conditions than on the standards test cycle. The Start & Stop technology fuel consumption reduction is a good example of this. The "Rota 2030" is the new Brazilian legislation approved at the end of 2018, considered this benefit to some technologies. In order to identify those benefits, this work will present and analyze the vehicle fuel consumption reduction provide by Start & Stop technology on a Brazilian urban off-cycle and the data is enable in future comparisons with other technologies in the same real drive cycle.
Figueiredo, Eduardo F.Campos, Carlos H. F.Pujatti, Fabrício J.P.
The topic of energy efficiency is currently a subject widely debated in industrial sectors because of its high relevance due to the finite life time of fossil fuels and the need for reduction in consumption and consequently the emissions of gases and the environmental impact. The objective of this work was to evaluate the performance of fuel magnetizers, a product marketed that, according to suppliers, guarantees an improvement in combustion efficiency, representing a saving of 10% to 22% of fuel. For the analysis of the efficiency of the magnetizer, consumption tests were carried out on engine test bench with and without the use of the product in idling speed, 2000 rpm and 2700 rpm. The conclusions obtained showed that the use of magnetizers did not achieve a satisfactory result in the efficiency of internal combustion engines, a possible factor responsible is the high content of ethanol in Brazilian gasoline.
Amorim, Pablo A.De N. Mattos, Luiz F.Almeida, Everton L. P.Pellacani, Gustavo C.Marques, Luiz A. M. M.
B-GAS: Conversion system to Internal Combustion Engine (Diesel) for using alternative energetic source for application in Agricultural Machinery2019-36-02351/13/2020
Fuel has a huge port in the operating costs of agribusiness, the increase on the price and the shortage of this energy resource has a direct impact on agricultural production costs. In this context, regions that are farther from refineries and lack the presence of fuel distribution centers tend to suffer more from the availability and cost of this resource. Economically speaking, agribusiness has a prominent position in the national scenery. The world fuel source had an evolution from the predominance of solid fuels to the current age of liquid fuels derived from petroleum and seeing the future and growing age of gas fuels as the predecessor stage of electric vehicles in some markets. Thereby, agricultural organic waste has the potential to generate an alternative energy, clean and ecological matrix, also reducing the emission of polluting gases, soil, groundwater, rivers and weir are still prevented, and the release of greenhouse gases in the atmosphere, such as methane and carbon dioxide. In Brazil, animal waste is normally used for the generation of biofuel, and only 14% of it used in automobiles. Thus, biogas has been studied as a promising energy matrix because it is less polluting and renewable to mitigate the damaging effects of fossil fuels. However, it is highest limitation is the low development of adaptation for Diesel engines, whereupon the project in question is aimed, of which purpose is to develop solutions for existing Diesel engines while maintaining the performance and durability, reducing the dependence of fossil fuels and allowing the use of alternative and cheaper energy sources, produced by the agriculturalists who have space and infrastructure to produce their own fuel, making it self-sustaining. Thus, the development of the project will be guided by the injection of the biogas in the intake manifold in a stoichiometric ratio of air / fuel according to operational necessity, while the biodiesel injected directly into the combustion chamber will be of utmost importance for the start of combustion as pilot flame, since the biogas is unable to combust only with the compression of the cylinder.
da Silva, Giovana QueirozGomes, Cléber Williandos Santos, Guilherme BugattiNunes da Costa, Paulo Eduardo WeyTalib Soares, Pedro AugustoRaduan, Renato ZerbinattiGomes, Vinícius Trento
An Efficient, High-Precision Vehicle Testing Procedure to Evaluate the Efficacy of Fuel-Borne Friction Modifier Additives2019-01-235312/19/2019
Improved fuel economy is increasingly a key measure of performance in the automotive industry driven by market demands and tighter emissions regulations. Within this environment, one way to improve fuel economy is via fuel additives that deliver friction- reducing components to the piston-cylinder wall interface. Whilst the use of friction modifiers (FMs) in fuel or lubricant additives to achieve fuel economy improvements is not new, demonstrating the efficacy of these FMs in vehicles is challenging and requires statistical design together with carefully controlled test conditions. This paper describes a bespoke, efficient, high-precision vehicle testing procedure designed to evaluate the fuel economy credentials of fuel-borne FMs. By their nature, FMs persist on engine surfaces and so their effects are not immediately reversible upon changing to a non FM-containing fuel (“carryover” effect), therefore requiring careful design of the test programme. The solution presented here comprises a one-day chassis dynamometer test, internally referencing the fuel economy of an FM- containing test fuel to an FM-free reference fuel. When incorporated into a statistically designed test programme, two or more fuels are compared using a chosen test cycle. Comprehensive instrumentation, control and monitoring, integrated vehicle conditioning stages and strict acceptance criteria are major factors in achieving the required precision. This test design is also specially tailored to eliminate the problem of FMs carry-over effects to subsequent tests. Three programmes based on this test procedure have measured statistically significant fuel economy differences between FM-containing fuels and FM-free fuels, thus demonstrating that the required precision has been achieved to evaluate the efficacy of fuel- borne FMs.
Yow, ShuhuiZiman, PaulineSmith, Sue J.Walter, Dr. MarcBacchi, Robert J.
Real-time Long Horizon Model Predictive Control of a Plug-in Hybrid Vehicle Power-Split Utilizing Trip Preview2019-01-234112/19/2019
Given a forecast of speed and load demands during a trip, a hybrid powertrain power-split Trajectory Optimization Problem (TOP) can be solved to optimize fuel consumption. This can be done on desktop to set performance benchmarks; however, it has been believed that the TOP could not be solved in real-time and is not a realizable controller. As such, several approximations of the TOP have been made in the interest of obtaining a real-time near-optimal controller, for example, Equivalent Consumption Minimization Strategies (ECMS) and their adaptive counterparts. These strategies decide on the power-split by, at each sampled time instant, minimizing a Horizon-0 (without predicting forward in time) composite function of fuel consumption and equivalent battery energy. The fuel economy that results from these strategies is highly sensitive to the calibration of the associated equivalence factor, and furthermore, must be chosen differently for different drive cycles. This paper presents a strategy for solving the TOP in real-time, i.e., as an Economic Model Predictive Controller (MPC) with horizon length sufficiently long to cover the entire trip. Unlike ECMS, this MPC is arguably calibration-free. Simulation results demonstrate the performance and robustness of the MPC by comparing the fuel consumption improvements to a rule-based Charge Deplete Charge Sustain (CDCS) strategy under both a perfect forecast assumption and a simple forecasting scheme using driving patterns in the California Household Travel Survey.
Huang, MikeZhang, ShengqiShibaike, Yushi
An Effect of Utilization B30 from Various Blends of B0:FAME and HVO on Emissions, Fuel Consumption and Power of Euro4 Vehicle Technology2019-01-218912/19/2019
Indonesia has implemented mandatory for utilization of high ratio biodiesel starting from B10 (10% of biodiesel and 90% of diesel fuel by volume) in 2013 then it gradually increased to B20 in 2016 and B30 in 2020. On the other hand, Indonesian Government will also strengthen vehicle emission regulation from Euro 2 to Euro4 in 2021. Therefore, B0 (low sulfur diesel fuel) and B100 (biodiesel) fuel properties as blended fuel for B30 must be improved to comply with Euro4 vehicle emission regulation. In this study various formulation of B30 were investigated, in which the B100 was varied from FAME (fatty Acid Methyl Ester), HVO (Hydrotreated Vegetable oil), and blend of FAME and HVO. The test was conducted under Euro4 vehicle technology to investigate their effect on emissions, fuel consumption and power. In this experiment, emission, fuel consumption and power were tested using UN-ECE R83-05 regulation, UN-ECE R101 and acceleration method respectively. The results showed that B30 has lower CO, HC and particulate emission compared with B0. However, NOx emission for some formulation slightly increased. Moreover, B30 could comply with emission limit, as stated under Euro4 regulation. Fuel consumption for B30 with some formulation was 2-3% higher than that of B0, but it was about the same between B0 and B30 with optimization ratio of FAME and HVO.
Setiapraja, HariYubaidah, SitiEkasari, MutiaHaspriyanti, NitaRustyawan, WawanRochim, Abdul
Marine transportation sector is highly dependent on fossil-based energy carriers. Decarbonization of shipping can be accomplished by implementing biobunkers into an existing maritime fuel supply chain. However, there are many compatibility issues when blending new biocomponents with their fossil-based counterparts. Thus, it is of high importance to predict the effect of fuel properties on marine engine performance, especially for new fuel blends. In the given work, possible future solutions concentrated on liquid fuels are taken into account. Under consideration are such fuels as biodiesel (FAME), hydrotreated vegetable oil (HVO), straight vegetable oil (SVO), pyrolysis oil, biocrude, and methanol. Knowledge about the behavior of new fuel in an existing engine is notably important for decision makers and fuel producers. Hence, the main goal of the present work is to create a model, which can predict the engine performance from the end-user perspective. For the purpose of modeling, only the latest research on marine fuels is taken into account. In the current approach, results from a representative measurement set-up are compared in order to create a uniform model. As a result, all the provided data are expressed in relative changes in reference to standard marine fuel – heavy fuel oil (HFO). The modeling Is performed by means of multilinear regression and accuracy of the model is relatively high, with a coefficient of determination over 0.9. The outcomes provide a prediction of final engine performance for the specified fuel blend. Knowing the final properties of fuel (such as calorific value, density, viscosity), it is attainable to estimate fuel consumption, carbon dioxide emissions and determine possible fuel compatibility issues. Moreover, the model enables estimation of carbon dioxide (CO2) tailpipe emissions, which should be included in the whole Life Cycle Analysis (LCA) while assessing the renewability index of the fuel.
Wojcieszyk, MichalKroyan, YuriLarmi, MarttiKaario, OssiZenger, Kai
Oxygenated fuels are studied in spark combustion engines because of their potentially positive impact on greenhouse emissions, and as part of alternative renewable fuels. Furthermore, engine test results position them as a promising lever to reduce engine-out emissions, and most notably, particles. This study focuses on oxygenated fuel Butanol, which is a potential output of recent developments on Algae and Cyanobacteria harvest process. Its blending into gasoline and application into spark ignition engines is investigated. Blending levels of n-Butanol and iso-Butanol have been proposed based on standard gasoline’s octane number, RON, at two ethanol concentration levels, 10 and 25%. Fuel blend impact on combustion, and on regulated and non-regulated emissions is analysed. Fuel knock resistance properties, RON and MON, determine the knocking tendencies for ethanol and butanol at 2000 rpm. However, test results highlight different knocking sensibility behaviour at higher engine speed. Emission results also illustrate a strong advantage of Butanol on particle mass emissions. Soot indices, that are conventionally used to quantify the impact of a fuel over particle emissions, are studied and confronted to results obtained on ethanol blends. The deviation in Particle Matter Indices obtained for butanol blends is analysed, on the basis of specific operating points. It highlights different particle emissions responses to the increase of oxygenates ethanol and butanol, not uniquely correlated to oxygen and aromatic concentration.
Anselmi, P.Matrat, M.Starck, L.Duffour, F.
The knock resistance of gasoline is a key factor to decrease the specific fuel consumption and CO2 emissions of modern turbocharged spark ignition engines. For this purpose, high RON and octane sensitivity (S) are needed. This study shows a relevant synergistic effect on RON and S when formulating a fuel with isooctane, cyclopentane and aromatics, the mixtures reaching RON levels well beyond the ones of individual components. The same is observed when measuring their knock resistance on a boosted single cylinder engine. The mixtures were also characterized on a rapid compression machine at 700 K and 850 K, a shock tube at 1000 K, an instrumented and an adapted CFR engine. The components responsible for the synergistic effects are thus identified. Furthermore, the correlations plotted between these experiments results disclose our current understanding on the origin of these synergistic effects. This study concludes that this synergistic effect encourages formulating highly paraffinic fuels for lower specific fuel consumptions and CO2 emissions. Thus, paraffins are still relevant compounds to formulate highly efficient gasolines, despite their low octane sensitivity when individually considered. Furthermore, the CFR engine is still the best known device to anticipate synergistic effects in gasoline's knock resistance, through the Octane Index (OI = RON - K.S). A sensitivity study on the “K value” of the octane index shows that octane sensitivity mainly drives the gasoline performance for the low-sensitivity fuels while RON also drives it for the high-sensitivity ones.
Dauphin, RolandObiols, JeromeSerrano, DavidFenard, YannComandini, AndreaStarck, LaurieVanhove, GuillaumeChaumeix, Nabiha
Modeling the Impact of Alternative Fuel Properties on Light Vehicle Engine Performance and Greenhouse Gases Emissions2019-01-230812/19/2019
The present-day transport sector needs sustainable energy solutions. Substitution of fossil-fuels with fuels produced from biomass is one of the most relevant solutions for the sector. Nevertheless, bringing biofuels into the market is associated with many challenges that policymakers, feedstock suppliers, fuel producers, and engine manufacturers need to overcome. The main objective of this research is an investigation of the impact of alternative fuel properties on light vehicle engine performance and greenhouse gases (GHG). The purpose of the present study is to provide decision-makers with tools that will accelerate the implementation of biofuels into the market. As a result, two models were developed, that represent the impact of fuel properties on engine performance in a uniform and reliable way but also with very high accuracy (coefficients of determination over 0.95) and from the end-user point of view. The inputs of the model are represented by fuel properties, whereas output by fuel consumption (FC). The parameters are represented as percentage changes relative to standard fossil fuel, which is gasoline for spark ignition (SI) engines and diesel for compression ignition (CI) engines. The methodology is based on data-driven black-box modeling (input-output relation). The multilinear regression was performed using the data from driving cycles such as the Worldwide Harmonized Light Vehicles Test Cycle (WLTC) and New European Driving Conditions (NEDC). The FC of SI engines proved to be dependent on mass-based Net Calorific Value (NCV), Research Octane Number (RON), oxygen content and density. However, CI engines performance is affected by NCV, density and Cetane Number (CN). The models were additionally subject to quantitative analysis, where input parameters in both models turned out to be statistically significant (p-value below 5%). Additionally, the validation stage consisted of residual analysis confirmed the accuracy of both models. The GHG part estimates the change of carbon dioxide emissions based on fuel consumption, which represents the tailpipe emissions.
Kroyan, YuriWojcieszyk, MichalLarmi, MarttiKaario, OssiZenger, Kai
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