Browse Topic: Medium trucks

Items (227)
Transformational Technologies Reshaping Transportation - An Academia Perspective2019-01-262010/14/2019
This paper and the associated lecture present an overview of technology trends and of market and business opportunities created by technology, as well as of the challenges posed by environmental and economic considerations. Commercial vehicles are one of the engines of our economy. Moving goods and people efficiently and economically is a key to continued industrial development and to strong employment. Trucks are responsible for nearly 70% of the movement of goods in the USA (by value) and represent approximately 300 billion of the 3.21 trillion annual vehicle miles travelled by all vehicles in the USA while public transit enables mobility and access to jobs for millions of people, with over 10 billion trips annually in the USA creating and sustaining employment opportunities. Commercial vehicles provide access to work and leisure time for millions of people every day and deliver and distribute the goods that make our economy move, from raw materials, to components, to finish products, as well as providing a multitude of services and support functions. While on-road trucks and buses represent only part of the global picture, with air, rail and sea also sharing in these functions, the health and efficiency of the commercial vehicle industry as a whole is a strong indicator of economic well-being. Today, the world of commercial vehicles is undergoing the greatest transformation in its history, as information technology enables functions and capabilities, through connectivity and partial automation, that were unimaginable even a decade ago. Along this, propulsion technology is also undergoing dramatic changes, as electrification of the powertrain is rapidly becoming a reality. This paper provides a broad introduction to the challenges, and opportunities, that are facing the commercial vehicle industry today, and also present a vision of where the industry is headed in the next ten to fifteen years. The challenges that accompany this transition are considerable, and demand that a new generation of engineers be educated and prepared for a new world of commercial vehicle technologies. It is an exciting time to be an engineer in the commercial vehicle sector.
Rizzoni, GiorgioAhmed, QadeerArasu, MukilanOruganti, Pradeep Sharma
Empirical Investigation on the Effects of Rolling Resistance and Weight on Fuel Economy of Medium-Duty Trucks02-12-03-00168/28/2019
Abstract Vehicle rolling resistance and weight are two of the factors that affect fuel economy. The vehicle tire rolling resistance has a more significant influence than aerodynamics drags on fuel economy at lower vehicle speeds, particularly true for medium- and heavy-duty trucks. Less vehicle weight reduces inertia loads, uphill grade resistance, and rolling resistance. The influence of weight on the fuel economy can be considerable particularly in light- to medium-duty truck classes because the weight makes up a larger portion of gross vehicle weight. This article presents an empirical investigation and a numerical analysis of the influences of rolling resistance and weight on the fuel economy of medium-duty trucks. The experimental tests include various tires and payloads applied on a total of 21vehicle configurations over three road profiles. These tests assessed the sensitivity of the vehicle’s fuel economy toward rolling resistance and weight. Several experimental results showed inconsistent and counterintuitive trends of the effects of rolling resistance coefficients and weights on fuel economy. The consequences of rolling resistance and vehicle payload are compound and influenced by vehicle speed, road profile, and tire pressure. The irregularities of weight variances’ impact on rolling resistance requires further investigation in the strain level of the tire deformation.
Liao, Gene Y.Card, BrandonO’Malley, Molly
An Investigation of the Influence of Close-Proximity Traffic on the Aerodynamic Drag Experienced by Tractor-Trailer Combinations2019-01-06484/2/2019
Recent research to investigate the aerodynamic-drag reduction associated with truck platooning systems has begun to reveal that surrounding traffic has a measurable impact on the aerodynamic performance of heavy trucks. A 1/15-scale wind-tunnel study was undertaken to measure changes to the aerodynamic drag experienced by heavy trucks in the presence of upstream traffic. The results, which are based on traffic conditions with up to 5 surrounding vehicles in a 2-lane configuration and consisting of 3 vehicle shapes (compact sedans, SUVs, and a medium-duty truck), show drag reductions of 1% to 16% for the heavy truck model, with the largest reductions of the same order as those experienced in a truck-platooning scenario. The data also reveal that the performance of drag-reduction technologies applied to the heavy-truck model (trailer side-skirts and a boat-tail) demonstrate different performance when applied to an isolated vehicle than to conditions with surrounding traffic. The results suggest that vehicle shape optimization strategies may differ if the influence of wake effects from surrounding traffic is included in product development cycles. Additionally, truck-platooning benefits should be taken in the context of typical traffic scenarios for which trucks are already experiencing a background-platooning effect and therefore may not be expected to attain the benefits relative to isolate-vehicle conditions.
McAuliffe, BrianAhmadi-Baloutaki, Mojtaba
Adaptive Transmission Shift Strategy Based on Online Characterization of Driver Aggressiveness02-11-02-00096/4/2018
Commercial vehicles contribute to the majority of freight transportation in the United States. They are also significant fuel consumers, with over 23% of fuel used in transportation in the United States. The gas price volatility and increasingly stringent regulation on greenhouse-gas emissions have driven manufacturers to adopt new fuel-efficient technologies. Among others, an advanced transmission control strategy, which can provide tangible improvement with low incremental cost. In the commercial sector, individual drivers have little or no interest in vehicle fuel economy, contrary to fleet owners. Aggressive driving behavior can greatly increase the real-world vehicle fuel consumption. However, the effectiveness of transmission calibration to match the shift strategy to the driving characteristics is still a challenge. In this article, a new adaptive shift strategy is proposed, which uses the driver score as a proxy to match the driving characteristics in real time and contribute to a better fuel economy. Drivability objective is also included in the optimization through an estimated torque reserve and it is subsequently evaluated via a newly developed metric. The adaptive shift strategy can significantly improve the fuel economy for an aggressive driving style. It also provides the fleet owner with a means to set a balance between fuel economy and drivability.
Zhang, DaruiIvanco, Andrej
SAE Truck & Off-Highway Engineering: April 201818TOFHP044/5/2018
Connectivity takes center stage Telematic links have become the norm, helping fleet owners and operators improve efficiency and letting OEMs predict component failures. More power, less noise, fewer emissions These key attributes drive development of new generators both big and small. TARDEC pursues advanced power generation U.S. Army, GM collaborate on fuel-cell-generated electricity to power the vehicle's propulsion system and onboard electronics, while providing off-vehicle power via an Exportable Power Take-Off unit. Developing an alternative engine concept Ricardo's CryoPower engine leverages two unique combustion techniques for reduced emissions and fuel consumption-liquid nitrogen and split combustion. Long-haul trucking and stationary power generation will be the first beneficiaries of the technologies. Technology time-warp The road to autonomous driving has been under construction for decades, as showcased by SAE's Mobility History Committee at the 2018 WCX in Detroit. Editorial 'Heavy' topics on tap for WCX18 Hackers aim to exploit vulnerabilities in CVs, pushing security to the forefront Generative design software exploits AI to change how new vehicles, equipment are designed SwRI's ECTO-Lab bridges gap in catalyst and aftertreatment development Diesel reigns as alternatives expand their role in commercial trucks AKG R&D center boasts unique large-radiator thermal shock test stand JCB reveals new range of crawler excavators, first fully-electric mini excavator Medium-duty truck market heats up
Real World Performance of an Onboard Gasoline/Ethanol Separation System to Enable Knock Suppression Using an Octane-On-Demand Fuel System2018-01-08794/3/2018
Higher compression ratio and turbocharging, with engine downsizing can enable significant gains in fuel economy but require engine operating conditions that cause engine knock under high load. Engine knock can be avoided by supplying higher-octane fuel under such high load conditions. This study builds on previous MIT papers investigating Octane-On-Demand (OOD) to enable a higher efficiency, higher-boost higher compression-ratio engine. The high-octane fuel for OOD can be obtained through On-Board-Separation (OBS) of alcohol blended gasoline. Fuel from the primary fuel tank filled with commercially available gasoline that contains 10% by volume ethanol (E10) is separated by an organic membrane pervaporation process that produces a 30 to 90% ethanol fuel blend for use when high octane is needed. In addition to previous work, this paper combines modeling of the OBS system with passenger car and medium-duty truck fuel consumption and octane requirements for various driving cycles. Medium duty driving cycles were included; HHDDT cruise mode for long-haul heavy truck cruising and HTUF 4 for delivery truck duty. Commercial vehicle modeling was done under unloaded, half and fully loaded conditions. Additionally, for the first time, transient separator performance and effective separation limits were included in the evaluation. Separator start-up, and membrane selectivity decrease achievable real-world fuel economy from what can be achieved with two separate tanks: one with gasoline, the other with ethanol. However, using the fuel separation system, the reduction in fuel economy is modest compared to a two tank system with pure ethanol while the need to fill a second tank is removed. Fuel efficiency gains compared to equivalent-performance current engines, including real world limitations ranged from 17.5-30% with commercial gasoline that includes 10% ethanol as base fuel.
Kasseris, EmmanuelHeywood, John B.Seitz, ScottKolakaluri, Ravi
Association of Impact Velocity with Serious-Injury and Fatality Risks to Cyclists in Commercial Truck-Cyclist Accidents2017-22-001311/13/2017
This study aimed to clarify the relationship between truck–cyclist collision impact velocity and the serious-injury and fatality risks to cyclists, and to investigate the effects of road type and driving scenario on the frequency of cyclist fatalities due to collisions with vehicles. We used micro and macro truck–cyclist collision data from the Japanese Institute for Traffic Accident Research and Data Analysis (ITARDA) database. We classified vehicle type into five categories: heavy-duty trucks (gross vehicle weight [GVW] ≥11 × 103 kg [11 tons (t)], medium-duty trucks (5 × 103 kg [5 t] ≤ GVW < 11 × 103 kg [11 t]), light-duty trucks (GVW <5 × 103 kg [5 t]), box vans, and sedans. The fatality risk was ≤5% for light-duty trucks, box vans, and sedans at impact velocities ≤40 km/h and for medium-duty trucks at impact velocities ≤30 km/h. The fatality risk was 6% for heavy-duty trucks at impact velocities ≤10 km/h. Thus, the fatality risk appears strongly associated with vehicle class and impact velocity. The results revealed that a 10 km/h reduction in impact velocities could mitigate the severity of cyclist injuries at impact velocities ≥30 km/h for all five vehicle types. The frequency of cyclist fatalities at intersections with traffic signals involving heavy-duty trucks was significantly higher during daytime than that at nighttime. Fatalities involving vehicles making a left turn generally increased with vehicle weight. The frequency of cyclist fatalities involving vehicles making a left turn was the largest for heavy-duty trucks both during daytime (67.6%) and at nighttime (52.3%).
Matsui, YasuhiroOikawa, ShokoSorimachi, KazuhiroImanishi, AkiraFujimura, Takeshi
Powersplit or Parallel - Selecting the Right Hybrid Architecture2017-01-11543/28/2017
The automotive industry is rapidly expanding its Hybrid, Plug-in Hybrid and Battery Electric Vehicle product offerings in response to meet customer wants and regulatory requirements. One way for electrified vehicles to have an increasing impact on fleet-level CO2 emissions is for their sales volumes to go up. This means that electrified vehicles need to deliver a complete set of vehicle level attributes like performance, Fuel Economy and range that is attractive to a wide customer base at an affordable cost of ownership. As part of “democratizing” the Hybrid and plug-In Hybrid technology, automotive manufacturers aim to deliver these vehicle level attributes with a powertrain architecture at lowest cost and complexity, recognizing that customer wants may vary considerably between different classes of vehicles. For example, a medium duty truck application may have to support good trailer tow whereas a C-sized sedan customer may prefer superior city Fuel Economy. This difference in attribute wants can drive the need for different electrified architectures. Here, two commonly used Hybrid and Plug-in Hybrid Electric Vehicle architectures can be distinguished: Powersplit and Parallel configurations. This paper studies the design differences between these Hybrid architectures and the intrinsic attribute advantages that one can provide over the other. Subsystem design criteria, including sizing of key components is considered. The two approaches are compared for a specific vehicle assumption for attributes and normalized cost.
Kapadia, JimmyKok, DanielJennings, MarkKuang, MingMasterson, BrandonIsaacs, RichardDona, AlanWagner, ChuckGee, Thomas
Truck Deformation ClassificationJ1301_201702 (Historical)2/23/2017
The scope and purpose of this SAE Recommended Practice is to provide a classification system for deformation sustained by trucks involved in collisions on the highway. Application of the document is limited to medium trucks, heavy trucks, and articulated combinations.1 The TDC classifies collision contact deformation, as opposed to induced deformation, so that the deformation is segregated into rather narrow limits or categories. Studies of collision deformation can then be performed on one or many data banks with assurance that data under study are of essentially the same type.2 Many of the features of the SAE J224 MAR80 have been retained in this document, although the characters within specific columns vary. Each document must therefore be applied to the appropriate vehicle type. It is also important to note that the Truck Deformation Classification (TDC) does not identify specific vehicle configurations and body types. The TDC is an expression, useful to persons engaged in vehicle safety, to appropriately describe a collision-damaged truck with conciseness in oral and written communications. The TDC is also a research tool; however, it has not been designed for use in impact energy computation. The research community is cautioned not to attempt direct conversion calculations from the TDC to energy equivalents required to duplicate the damage. The system consists of seven alphanumeric characters arranged in a specific order to form a descriptive composite of the vehicle damage (see Figure 1). The characters describe the principal force direction, location, specific area, type, and extent of damage. The individual character positions are referenced by column number for identification. The definition of each classification is provided in subsequent sections.
Data Collection and Archiving Standards Committee
E/E Diagnostic Test ModesJ1979_201702 (Historical)2/16/2017
SAE J1979/ISO 15031-5 set includes the communication between the vehicle’s OBD systems and test equipment implemented across vehicles within the scope of the legislated emissions-related OBD. To achieve this, it is based on the Open Systems Interconnection (OSI) Basic Reference Model in accordance with ISO/IEC 7498-1 and ISO/IEC 10731, which structures communication systems into seven layers. When mapped on this model, the services specified are broken into: — Diagnostic services (layer 7), specified in: — ISO 15031-5/SAE J1979 (emissions-related OBD), — ISO 27145-3 (WWH-OBD), — Presentation layer (layer 6), specified in: — ISO 15031-2, SAE J1930-DA, — ISO 15031-5, SAE J1979-DA, — ISO 15031-6, SAE J2012-DA, — ISO 27145-2, SAE J2012-DA, — Session layer services (layer 5), specified in: — ISO 14229-2 supports ISO 15765-4 DoCAN and ISO 14230-4 DoK-Line protocols, — ISO 14229-2 is not applicable to the SAE J1850 and ISO 9141-2 protocols, — Transport layer services (layer 4), specified in: — DoCAN: ISO 15765-2 Transport protocol and network layer services, — SAE J1850: ISO 15031-5/SAE J1979 Emissions-related diagnostic services, — ISO 9141-2: ISO 15031-5/SAE J1979 Emissions-related diagnostic services, — DoK-Line: ISO 14230-4, ISO 15031-5/SAE J1979 Emissions-related diagnostic services, — Network layer services (layer 3), specified in: — DoCAN: ISO 15765-2 Transport protocol and network layer services, — SAE J1850: ISO 15031-5/SAE J1979 Emissions-related diagnostic services, — ISO 9141-2: ISO 15031-5/SAE J1979 Emissions-related diagnostic services, — DoK-Line: ISO 14230-4, ISO 15031-5/SAE J1979 Emissions-related diagnostic services, — Data link layer (layer 2), specified in: — DoCAN: ISO 15765-4, ISO 11898-1, -2, — SAE J1850, — ISO 9141-2, — DoK-Line: ISO 14230-2, — Physical layer (layer 1), specified in: — DoCAN: ISO 15765-4, ISO 11898-1, -2, — SAE J1850, — ISO 9141-2, — DoK-Line: ISO 14230-1, in accordance with Table 1.
Vehicle E E System Diagnostic Standards Committee
Association of Impact Velocity with Risks of Serious Injuries and Fatalities to Pedestrians in Commercial Truck-Pedestrian Accidents2016-22-000711/7/2016
This study aimed to clarify the relationship between truck-pedestrian crash impact velocity and the risks of serious injury and fatality to pedestrians. We used micro and macro truck-pedestrian accident data from the Japanese Institute for Traffic Accident Research and Data Analysis (ITARDA) database. We classified vehicle type into five categories: heavy-duty trucks (gross vehicle weight [GVW] ≥11 × 103 kg [11 tons (t)], medium-duty trucks (5 × 103 kg [5 t] ≤ GVW < 11 × 103 kg [11 t]), light-duty trucks (GVW <5 × 103 kg [5 t]), box vans, and sedans. The fatality risk was ≤5% for light-duty trucks, box vans, and sedans at impact velocities ≤ 30 km/h and for medium-duty trucks at impact velocities ≤20 km/h. The fatality risk was ≤10% for heavy-duty trucks at impact velocities ≤10 km/h. Thus, fatality risk appears strongly associated with vehicle class. The results also revealed that a 10 km/h reduction in impact velocities could mitigate the severity of pedestrian injuries at impact velocities ≥30 km/h for all five analyzed vehicle types. Therefore, serious injuries and fatalities to pedestrians could be decreased by the development and deployment of collision mitigation systems (CMSs) to all vehicles, including to commercial trucks, because CMSs can detect pedestrians in even severe conditions, such as when the drive’s view is obstructed, and can reduce the impact velocity. The present results indicate that CMS design specifications should differ between vehicle types because of the strong dependence of serious-injury and fatality risks on vehicle type.
Matsui, YasuhiroOikawa, ShokoSorimachi, KazuhiroImanishi, AkiraFujimura, Takeshi
Analysis and Design Validation of Medium Duty Truck Cooling System2016-01-80739/27/2016
Various 1D simulation tools (KULI & LMS Amesim) and 3D simulation tools (ANSYS FLUENT®) can be used to size and evaluate truck cooling system design. In this paper, ANSYS FLUENT is used to analyze and validate the design of medium duty truck cooling systems. LMS Amesim is used to verify the quality of heat exchanger input data. This paper discusses design and simulation of parent and derivative trucks. As a first step, the parent truck was modeled in FLUENT (using standard' k - ε model) with detailed fan and underhood geometry. The fan is modeled using Multiple Reference Frame (MRF) method. Detailed geometry of heat exchangers is skipped. The heat exchangers are represented by regular shape cell zones with porous medium and dual cell heat exchanger models to account for their contributions to the entire system in both flow and temperature distribution. Good agreement is observed between numerical and experimental engine out temperatures at different engine operating conditions. Once the CFD approach is validated, CFD simulation is carried out with derivative truck design. The rich information from CFD simulations will be used to evaluate the new designs much faster and eventually improve the efficiency of cooling system designs. Implemented design recommendations are shown to meet the cooling requirements.
Saha, RohitMadurai Kumar, MaheshHwang, Long-KungWang, XingshiZhang, FengchaoZhang, XiaodanYagui, LiuSun, WeiqingWang, YanCheng, WeiLin, Mingjin
Octane Requirement of a Turbocharged Spark Ignition Engine in Various Driving Cycles2016-01-08314/5/2016
High octane fuel (e.g., E85) effectively suppresses knock, but the octane ratings of such fuels are much above what is required under normal driving conditions. It is important, therefore, to understand the octane requirement of the engine itself over its full range of operation and apply that knowledge to practical driving cycles to understand fuel octane utilization, especially of a turbocharged engine. By carefully defining knock limits, the octane requirement of a 2-liter turbocharged spark ignition engine was experimentally quantified over a wide range of loads and speeds using PRF blends and gasoline-ethanol blends. Utilizing this knowledge and engine-in-vehicle simulations, the octane requirements of various driving cycles were calculated for a passenger car and a medium duty truck model. The effects of spark retard, engine downsizing at fixed vehicle performance, and vehicle types, on engine efficiency, fuel economy, and ethanol consumption were analyzed through parametric study. The average octane ratings of fuel needed in real-world driving were in the 60-80 RON range (the maximum RON required was 90-100.) Downsizing and vehicle loading in trucks increased octane requirement substantially. Matching the fuel supplied to the engine’s octane requirement by varying the amount of ethanol using a dual fuel system resulted in a significant increase in the average engine brake efficiency (about 30% increase) and fuel economy (about 26%) depending on driving details. Accordingly, ethanol consumption increased, but up to 5 CAD spark retard reduced the ethanol consumption considerably while not compromising efficiency.
Jo, Young SukBromberg, LeslieHeywood, John
An Efficient, Durable Vocational Truck Gasoline Engine2016-01-06604/5/2016
This paper describes the potential for the use of Dedicated EGR® (D-EGR®) in a gasoline powered medium truck engine. The project goal was to determine if it is possible to match the thermal efficiency of a medium-duty diesel engine in Class 4 to Class 7 truck operations. The project evaluated a range of parameters for a D-EGR engine, including displacement, operating speed range, boosting systems, and BMEP levels. The engine simulation was done in GT-POWER, guided by experimental experience with smaller size D-EGR engines. The resulting engine fuel consumption maps were applied to two vehicle models, which ran over a range of 8 duty cycles at 3 payloads. This allowed a thorough evaluation of how D-EGR and conventional gasoline engines compare in fuel consumption and thermal efficiency to a diesel. The project results show that D-EGR gasoline engines can compete with medium duty diesel engines in terms of both thermal efficiency and GHG emissions. Since gasoline has less energy per gallon than diesel, the D-EGR engine will have higher fuel consumption in gallons than the diesel, but the higher price of diesel fuel makes up for this difference in the US market. D-EGR also results in much lower in-cylinder and exhaust temperatures, which will help improve durability compared to a conventional gasoline engine. A D-EGR engine with its 3-way catalyst will be far cheaper than a diesel with DPF and SCR, so there is an opportunity for gasoline engines to regain medium truck market share.
Reinhart, ThomasMegel, Marc
This document establishes minimum performance criteria at GCWR and calculation methodology to determine tow-vehicle TWR for passenger cars, multipurpose passenger vehicles and trucks. This includes all vehicles up to 14000 lb GVWR.
Tow Vehicle Trailer Rating Committee
This recommended practice is intended to provide industry technical personnel with an overview of vehicle speedometer system accuracy and offset requirements and odometer system accuracy requirements. Speedometer and odometer systems covered by this document are integrated into a vehicle's electrical and electronics system, assembled directly into the vehicle by the OEM, and use rotational data from at least one vehicle wheel that is appropriately converted into longitudinal vehicle speed and distance traveled information. This standard is limited to radial ply tires on new (as manufactured) cars, light trucks, and medium duty trucks. Other methods for measuring vehicle speed and distance traveled may be used provided they meet the performance recommendations herein. Any local market regulatory requirements must be met and shall supersede this document. Service parts are beyond the scope of this recommended practice.
Odometer and Speedometer Standards
Aerodynamic Optimization of Trailer Add-On Devices Fully- and Partially-Skirted Trailer Configurations2015-01-28859/29/2015
As part of the United States Department of Energy's SuperTruck program, Volvo Trucks and its partners were tasked with demonstrating 50% improvement in overall freight efficiency for a tractor-trailer, relative to a best in class 2009 model year truck. This necessitated that significant gains be made in reducing aerodynamic drag of the tractor-trailer system, so trailer side-skirts and a trailer boat-tail were employed. A Lattice-Boltzmann based simulation method was used in conjunction with a Kriging Response Surface optimization process in order to efficiently describe a design space of seven independent parameters relating to boat-tail and side-skirt dimensions, and to find an optimal configuration. Part 1 concerns a fully-skirted tractor-trailer system, and consists of an initial phase of optimization, followed by a mid-project re-evaluation of constraints, and an additional period of optimization. The most influential parameters are identified in achieving significant aerodynamic drag reduction relative to a base configuration. Part 2 uses a similar set of optimization parameters, but finds a fundamentally different drag response to one critical factor, due to a different set of trailer operational constraints using only partial skirting. Results from both portions are supported by physical testing.
Schaut, NicholasSengupta, Raja
Analysis Process for Truck Fuel Efficiency Study2015-01-27789/29/2015
Medium- and Heavy Duty Truck fuel consumption and the resulting greenhouse gas (GHG) emissions are significant contributors to overall U.S. GHG emissions. Forecasts of medium- and heavy-duty vehicle activity and fuel use predict increased use of freight transport will result in greatly increased GHG emissions in the coming decades. As a result, the National Highway Traffic Administration (NHTSA) and the United States Environmental Protection Agency (EPA) finalized a regulation requiring reductions in medium and heavy truck fuel consumption and GHGs beginning in 2014. The agencies are now proposing new regulations that will extend into the next decade, requiring additional fuel consumption and GHG emissions reductions. To support the development of future regulations, a research project was sponsored by NHTSA to look at technologies that could be used for compliance with future regulations. Data presented in this paper detail how engine and vehicle simulation models were developed for current medium and heavy duty vehicles and then validated against available test results. In addition, the paper describes how potential future engine and vehicle technologies were added to the baseline models to simulate future improvements in medium and heavy duty vehicle fuel consumption and GHG emissions. Wherever possible, experimental data was used as inputs to the models or to validate the simulation results. The effect of drive cycle on engine efficiency is also explored.
Reinhart, ThomasCooper, CoralieWhitefoot, JohnMacIsaac, James
Accelerated Durability Tests of Commercial Vehicles Powertrains Performed on Road by a Towing Trailer with an Electromagnetic Brake2015-36-03069/22/2015
Durability tests of commercial vehicles are performed on road running uphill and downhill as well as on flat roads; these tests take very long time and have high costs. To lower test time and costs, it is proposed to accelerate the durability tests of commercial vehicles power trains by using a Towing Trailer with an electromagnetic (EM) brake, developed in Brazil, simulating uphill. This Trailer was already presented [1], [2] for cooling test simulation at 20 km/h on commercial vehicles up to 250 HP. In the cabin (cab) of the vehicle under test, there are the braking level control and a laptop, which receives wireless and registers the operational parameters of the Towing Trailer. The GPS in the truck cabin (cab) supply information such as time, speed, latitude and longitude allowing the control of the route. Strain gauges glued on the traction rod measure the traction and compression forces between truck and Towing Trailer, capturing the effect of EM braking forces, acceleration and deceleration of the convoy, gear changes and the geographical road influence. Measurements were performed with powerful trucks (420 HP and 360 HP), higher than the foreseen Trailer EM brake capacity, to evaluate the limits of the testing system on flat ground, at 20 km/h (normally used for cooling tests) and on roads with varied slopes, at speeds up to 80 km/h. By the variation of the EM forces through the current, it is possible to evaluate the contribution of the EM braking forces for the durability tests.
Rehder, HaraldoRehder, Gustavo P.
The “Model Architecture and Interfaces Recommended Practice for Ground Vehicle System and Subsystem Dynamical Simulation” defines the architectural structure of a ground vehicle system dynamical model by partitioning it into subsystem models and by defining subsystem interfaces required to enable plug-and-play operation of a dynamical simulation models. All types of ground vehicle were considered in the development of the architecture, such as, passenger cars, light and medium duty trucks, heavy duty tractor trailer trucks, and vehicles/equipment for military, farming, construction, and mining. Versatility of this architectural partitioning is demonstrated by showing how it can be applied to different vehicle configurations. Application examples of architecture are provided for a large number of the publicly known ground vehicle configurations in production, testing, or development. This recommended practice encompasses standards to enable seamless plug-and-play reusability of dynamical models for simulating the functional behavior of a ground vehicle system and its subsystems. A single ground vehicle system is the system of interest. The architecture and interfaces support vehicle models that describe vehicle motion in one dimension (longitudinal), two dimensions (longitudinal and lateral or longitudinal and vertical), and three dimensions (longitudinal, lateral, and vertical). The scope includes defining recommended practices for: 1 Model architectural structure, and interfaces that enable the plug-and-play development of: (1) a top-level ground vehicle system model from subsystem models, and (2) subsystem models from other subsystem models; and 2 Model architecture and interfaces for all hardware and controller interfaces; however, the internal structure of control algorithms and software will not be included in this recommended practice. Since, other groups (such as, AUTOSAR) are addressing architecture and interfaces of models for control applications and software; they are not included in the scope of the recommended practice. However, in the future, the internal structure of control algorithms and software should be addressed for special issues of dynamical modeling and simulation of ground vehicle systems that are not covered by other standards groups.
Dynamical Modeling and Simulation Committee
Comparison of Vehicle Responses to Rumble Strip Inputs of Varying Design2015-01-22746/15/2015
A measurement program was completed to assess driver input versus exterior noise generation for four vehicle designs and two different rumble strip designs. The vehicles included a small compact car, an immediate size car, a full sport utility vehicle, and a medium duty dump truck. The first rumble strip was a conventional design providing shorter wavelength input to the tire. The second was designed to provide longer wavelength, more harmonic input to the tire. The measurements included exterior pass-by noise and on-board exterior noise and interior measurements of sound pressure level and vibration level at the seat track and steering column. In general, the results indicated that the longer wavelength strips produced less overall A-weighted pass-by noise with little or no reduction in interior noise and vibration. Considerable variation in the response of the vehicles was found particularly for steering column vibration and interior noise where the overall differences ranged from about 9 to 17 decibels (dB). The exterior measures produced smaller ranges, from 2 to about 7½ dB; however, the rank ordering of vehicle response was different for the pass-by and exterior on-board results. It was concluded that the interior noise and steering column responses were strongly influenced by vehicle specific characteristics both in terms of isolation and modal response. The results of this study are presented in overall and in ⅓ octave band levels that compare the different test vehicles and test rumble strips.
Donavan, Paul R.Rymer, Bruce
E/E Diagnostic Test ModesJ1979_201408 (Historical)8/11/2014
This document supersedes SAE J1979 May 2007, and is technically equivalent to ISO 15031-5 2010, with the addition of new capabilities required by revised regulations from the California Air Resources Board and revised regulations from the European Commission. This document is intended to satisfy the data reporting requirements of On-Board Diagnostic (OBD) regulations in the United States and Europe, and any other region that may adopt similar requirements in the future. This document specifies: a message formats for request and response messages, b timing requirements between request messages from external test equipment and response messages from vehicles, and between those messages and subsequent request messages, c behavior of both the vehicle and external test equipment if data is not available, d a set of diagnostic services, with corresponding content of request and response messages, to satisfy OBD regulations, This document includes capabilities required to satisfy OBD requirements for multiple regions, model years, engine types, and vehicle types. Those regulations are not yet final for some regions, and are expected to change in the future. This document makes no attempt to interpret the regulations and does not include applicability of the included diagnostic services and data parameters for various vehicle applications. The user of this document is responsible to verify the applicability of each section of this document for a specific vehicle, engine, model year and region. SAE J1979/ISO 15031-5 specifies diagnostic services and functionally addressed request/response messages required to be supported by motor vehicles and external test equipment for diagnostic purposes which pertain to motor vehicle emission-related data. Any external test equipment meeting the requirements of SAE J1978 is intended to be able to use these messages to retrieve emissions-related information from the vehicle. Each section of this part of SAE J1979/ISO 15031-5 which specifies additional detail to existing sections of ISO 9141-2, ISO 14230-4, SAE J1850, and ISO 15765-4 supersede those specifications. This part of SAE J1979/ISO 15031-5 references the SAE J1979-DA (Digital Annex), which includes all definitions of PIDs, OBDMIDs, TIDs and INFOTYPES. NOTE: SAE J1979/ISO 15031-5 provides the mechanism to satisfy the requirements included in the country-specific regulations and not all capabilities included in this document are required by the country-specific regulations. SAE J1979 is not considered a final authority for interpretation of the regulations, so readers should determine the applicability of capabilities defined in this document for their specific needs.
Vehicle E E System Diagnostic Standards Committee
A New Electric Powertrain for Light Trucks: Indoor Testing and Advanced Simulation2014-01-19774/1/2014
A new electric powertrain and axle for light/medium trucks is presented. The indoor testing and the simulation of the dynamic behavior are performed. The powertrain and axle has been produced by Streparava and tested at the Laboratory for the Safety of Transport of the Politecnico di Milano. The tests were aimed at defining the multi-physics perfomance of the powertrain and axle (efficiency, acceleration and braking, temperature and NVH). The whole system for indoor tests was composed by the powertrain and axle (electric motor, driveline, suspensions, wheels) and by the test rig (drums, driveline and electric motor). The (driving) axle was positioned on a couple of drums, and the drums provided the proper torques to the wheels to reproduce acceleration and braking. Additionally a cleat fixed on one drum excited the vibration of the suspensions and allowed assessing NVH performance. The simulations were based on a special co-simulation between 1D-AMESIM and VIRTUAL.LAB. The contact between the wheels and the drums of the test rig were simulated by means of VIRTUAL.LAB. The simulation of the whole system was performed quickly. The comparison between the simulations and the experiments is satisfactory. The indoor test facility allows the quick tuning of the powertrain and axle parameters to meet the technical specification related to a particular application.
Golimbioschi, RobertMastinu, GiampieroCordioli, LucaGobbi, MassimilianoTagliabue, DavidePreviati, GiorgioBraga, Francesco
Fuel Economy Optimization of Euro 6 Compliant Light Commercial Vehicles Equipped with SCR2014-01-13564/1/2014
The Selective Catalytic Reduction (SCR) system, installed on the exhaust line, is currently widely used on Diesel heavy-duty trucks and it is considered a promising technique for Euro 6 compliancy for light and medium duty trucks and bigger passenger cars. Moreover, new more stringent emission regulations and homologation cycles are being proposed for Euro 6c stage and they are scheduled to be applied by the end of 2017. In this context, the interest for SCR technology and its application on light-duty trucks is growing, with a special focus on its potential benefit in term of fuel consumption reduction, thanks to combustion optimization. Nevertheless, the need to warm up the exhaust gas line, to meet the required NOx conversion efficiency, remains an issue for such kind of applications. In this work, the activity performed on different Euro 5-compliant light-duty vehicles, equipped with SCR, to fulfill Euro 6 emission level with fuel saving respect to current production level, is described. An initial experimental investigation on test bench has been carried out to identify the effect of the main control parameters, in order to achieve the required NOx emission reduction with the best fuel economy performance. After this preliminary identification phase, different calibration strategies have been assessed executing several NEDC cycles. The most relevant achieved results are illustrated and critically discussed in the paper.
De Cesare, MatteoStola, FedericoSenni, CosimoDi Monte, AlfredoSgatti, Stefano
Secondary Fuel Injection Characterization of a Diesel Vaporizer for Active DPF RegenerationSAE-PAPER-2014-01-14944/1/2014
Secondary fuel injection is applied to facilitate active soot management of the particulate filter within diesel aftertreatment systems, avoiding concerns with fuel delivery via in-cylinder post-injection. System performance is dependent on the thermo-fluid interactions of the injected fuel with the exhaust stream, with the intent of having more fully vaporized fuel and a well-mixed air-fuel mixture at the inlet of the oxidation catalyst for uniform thermal distribution as it exothermically reacts. Pre-heating the fuel with a diesel vaporizer prior to its delivery into the exhaust enables improved system performance, reducing droplet sizes and mixing demands. A diesel vaporizer is applied within the exhaust of a medium duty truck application, and the response of the catalyst is characterized across a variety of conditions. Cross-sectional measurements at the catalyst and filter outlet are described, including gas velocity, temperature, and HC concentration, and the effect of poor fuel vaporization is demonstrated. The system is installed in a medium-duty truck with a 4.8L engine and characterized on a chassis dynamometer across various steady-state and transient conditions. Performance is measured while applying closed loop fuel dosing control algorithms, demonstrating control capabilities similar to injectors. Adequate thermal distribution is achieved with minimal HC slip, and recommendations are offered to further demonstrate system integration benefits and risks of diesel vaporizers.
Hein, EricKotrba, AdamInclan, TobiasBright, Andrew
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