Browse Topic: Off-highway vehicles and equipment

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This SAE Standard encompasses connectors between two cables or between a cable and an electrical component and focuses on the connectors external to the electrical component. This document provides environmental test requirements and acceptance criteria for the application of connectors for direct current electrical systems of 50 V or less in the majority of heavy-duty applications typically used in off-highway machinery. Severe applications can require higher test levels, or field-testing on the intended application.
CTTC C2, Electrical Components and Systems
This SAE Standard applies to hydraulic pumps and motors used on off-road self-propelled work machines as described in SAE J1116.
CTTC C1, Hydraulic Systems
ABSTRACT Determining the required power for the tractive elements of off-road vehicles has always been a critical aspect of the design process for military vehicles. In recent years, military vehicles have been equipped with hybrid, diesel-electric drives to improve stealth capabilities. The electric motors that power the wheel or tracks require an accurate estimation of the power and duty cycle for a vehicle during certain operating conditions. To meet this demand, a GPS-based mobility power model was developed to predict the duty cycle and energy requirements of off-road vehicles. The dynamic vehicle parameters needed to estimate the forces developed during locomotion are determined from the GPS data, and these forces include the following: the gravitational, acceleration, motion resistance, aerodynamic drag, and drawbar forces. Initial application of the mobility power concept began when three U.S. military’s Stryker vehicles were equipped with GPS receivers while conducting a proofing mission at the Pohakuloa Training Area (PTA) in Hawaii on a soil with a known rating cone index (RCI). An analysis was conducted on the GPS data which allowed for the variation in the Stryker’s mobility power to be estimated as the vehicle traversed the terrain. The subsequent power duty cycle and required energy for the vehicle was determined along with predicted specific energy consumption and production values. Initial validation of the mobility power model began by tracking a hybrid 2006 Toyota Highlander during acceleration tests and on-road maneuvers. The model had an R2 and average absolute percent error of 0.91 and 12.9% respectively during the acceleration tests. The predicted and measured mobility power duty cycles were similar during the on-road maneuvers while an R2 and average absolute error of 0.44 and 7.1 kW was attained.
Ayers, PaulBozdech, George
Abstract Test cycle simulation is an essential part of the vehicle-in-the-loop test, and the deep reinforcement learning algorithm model is able to accurately control the drastic change of speed during the simulated vehicle driving process. In order to conduct a simulated cycle test of the vehicle, a vehicle model including driver, battery, motor, transmission system, and vehicle dynamics is established in MATLAB/Simulink. Additionally, a bench load simulation system based on the speed-tracking algorithm of the forward model is established. Taking the driver model action as input and the vehicle gas/brake pedal opening as the action space, the deep deterministic policy gradient (DDPG) algorithm is used to update the entire model. This process yields the dynamic response of the output end of the bench model, ultimately producing the optimal intelligent driver model to simulate the vehicle’s completion of the World Light Vehicle Test Cycle (WLTC) on the bench. The results indicate that the algorithm exhibits good convergence in the simulation, throughout the WLTC simulation, the driver always kept the vehicle speed error within 1 km/h, and the response time is less than 0.5 s under the vehicle’s starting condition. In comparison to the PID control algorithm and the model predictive control (MPC) algorithm, it demonstrates smaller speed error and response time, ensuring accuracy, high efficiency, and safety during the indoor vehicle-in-the-loop test.
Gong, XiaohaoLi, XuHu, XiongLi, Wenli
Abstract This research investigates the tire deformation and sandy soil sinkage on the performance of off-road vehicles. Tire deformation and soil sinkage were simulated with the Finite Element Method (FEM) using ANSYS Workbench 2020 R2 and validated using actual results taken from a previous work of tire size (235/70 R15) under four different tire inflation pressures (50, 100, 150, and 200 kPa) and three soil densities varying from loose, medium dense, and high dense sand. The optimum tire inflation pressures were obtained under various soil densities to achieve flotation pressure of the tires on the soil to generate good performance and accomplish the off-road vehicle missions.
Adel Mohamed, MahmoudElhussieny, SayedEmam, Mohamed AliAbd Elhafiz, Mohamed M.
This SAE Recommended Practice establishes minimum performance and test requirements for combination pelvic and upper torso occupant restraint systems provided for off-road self-propelled work machines.
HFTC4, Operator Seating and Ride
This SAE Standard sets forth the procedures to be used in measuring sound levels and determining the time weighted sound level at the operator's station(s) of specified off-road self-propelled work machines. This document applies to the following work machines which have operator stations as specified in SAE J1116: • Crawler Loader • Grader • Log Skidder • Wheel Loader • Crawler Tractor with Dozer • Pipelayer • Dumper • Wheel Tractor with Dozer • Trencher • Tractor Scraper • Backhoe • Sweeper • Roller/Compactor • Hydraulic Excavator • Pad Foot Wheel Compactor with Dozer • Excavator and Wheel Feller-Buncher The instrumentation requirements and specific work cycles for these machines are described. The method used to calculate the time weighted average sound level at the operator station(s) is specified for Leq(5), or optional exchange rates, during continuous operation in a work cycle representing continuous medium to heavy work. The work cycles provide a repeatable reproduceable means to uniformly measure working machines against a “yard stick. A method to relate the time weighted average sound level at the operator station(s) to estimate operator sound exposure with part load work, supervision, and rest breaks is also provided.
OPTC3, Lighting and Sound Committee
SAE J3113 provides principles and a process for developing icons for use in electronic displays related to off-road work machines as stated defined in SAE J1116. Following the process ensures that icons are derived from ISO-registered graphical symbols or ISO-compliant non-registered graphical symbols.
HFTC2, Machine Displays and Symbols
This SAE Recommended Practice (RP) describes a test method for determination of heavy truck (Class VI, VII, and VIII) tire force and moment properties under straight-line braking conditions. The properties are acquired as functions of normal force and slip ratio using a sequence specified in this practice. At each normal force increment, the slip ratio is continually changed by application of a braking torque ramp. The data are suitable for use in vehicle dynamics modeling, comparative evaluations for research and development purposes, and manufacturing quality control. This document is intended to be a general guideline for testing on an ideal machine. Users of this RP may modify the recommended protocols to satify the needs of specific use-cases; e.g., reducing the recommended number of test loads and/or pressures for benchmarking purposes. However, due care is necessary when modifying the protocols to maintain data integrity.
Truck and Bus Tire Committee
For off-road work machines listed in SAE J1116.
HFTC4, Operator Seating and Ride
Applies to hydraulic cylinders which are components of Off-Road Work Machines defined in SAE J1116.
CTTC C1, Hydraulic Systems
This document applies to off-road forestry work machines defined in SAE J1116 or ISO 6814.
MTC4, Forestry and Logging Equipment
With ever tightening emission standards, the automotive industry is continuously seeking novel ways to improve the aftertreatment system (ATS). Exhaust treatment systems using diesel emission fluid (DEF), in conjunction with selective catalytic reduction (SCR) and diesel oxidation converters (DOC), have been gaining popularity in the heavy equipment industry. Spraying DEF (mixture of urea and water) into the exhaust flow can convert harmful NOx gases into N2 and H2O. Design of ATSs focuses on high evaporation rate and uniform mixing of ammonia at the entrance to the SCR catalyst. This study applied support vector regressor (SVR), a machine learning (ML) method to a database of computational fluid dynamics (CFD) simulations to develop a highly efficient mixer with high heat exchange characteristics. Over 500 mixer designs were evaluated using CFD and were then used to train the SVR model. The trained ML model was then used as a surrogate to the CFD and coupled with the genetic algorithm (GA), an optimization technique, to further refine the design parameters. The optimal design obtained from this methodology showed a remarkable performance improvement compared to the baseline.
Singh, Samrendra K.Braginsky, DanielTamamidis, PanosGennaro, Monacelli
An Experimental Methodology for Measuring Resistance Forces of Light-Duty Vehicles under Real-World Conditions and the Impact on Fuel Consumption2020-01-03834/14/2020
A vital element of any vehicle-certification test is the use of representative values for the vehicle resistance forces. In most certification procedures, including the WLTP recently adopted by the EU, the latter is achieved mainly through coast down tests. Subsequently, the resistance values measured are used for setting up the chassis-dyno resistances applied during the laboratory measurements. These reference values are obtained under controlled conditions, while a series of corrections are applied to make the test procedure more repeatable and reproducible. In real driving, the actual vehicle road loads are influenced by a series of factors leading to a divergence between the certified fuel consumption values, and the real-world ones. An approach of calculating representative road loads during on-road tests can help to obtain a more unobstructed view of vehicle efficiency and, when needed, confirm the officially declared road loads. This approach is also essential for validating simulations and achieving better estimates of the actual fuel consumption, a requirement introduced by the new policy adopted in the EU. In this study, a series of on-road experiments were conducted, under real-world conditions, on three vehicles, belonging to different vehicle body-categories, a supermini, a B segment cross-over city car, and a light-duty commercial vehicle. A wheel rim torque-measurement system (strain gauge torque sensors) was used to record the torque at the wheels accompanied by a wheel rotational-speed sensor. The present paper presents the results and investigates the capacity of such kind of tests to measure road loads with precision and accuracy. The calculated resistance forces are compared against the ones officially declared at type approval or measured via dedicated coast down tests. Results show satisfactory accuracy and repeatability, ranging within a ±3-7% range for the aerodynamic resistance, and point out margins for improvement. Simulation models are subsequently used to quantify the impact on real-world fuel consumption and CO2 emissions. The road loads measured using the method lead to similar fuel consumption simulation results as the official road loads with deviations in total simulated CO2 emissions remaining within ±6% of the measured values in the majority of the cases.
Komnos, DimitriosFontaras, GeorgiosNtziachristos, LeonidasPavlovic, JelicaCiuffo, Biagio
Crank-Lever Electromagnetic Damper (CLEMD) Design for Automobile Suspension System06-13-01-00022/4/2020
An effective damper is among the most important components of the suspension system. It ensures the right amount of damping force is acting on the suspension system to provide comfort to the passengers and proper road holding to tires. Unfortunately, the energy absorbed by the dampers from the suspension system gets wasted in the form of heat. In this article, it is proposed to use innovative electromagnetic damper (EMD) with a crank-lever mechanism to recover energy from the suspension system. The goal is to develop a lightweight design of EMD that can recover a high amount of power. For the design, an off-road vehicle is used since in off-road vehicles the amount of power wasted in the suspension system is high. Three different design approaches are used, which include single-stage gearbox type, two-stage gearbox type, and three-stage gearbox type of CLEMD. Out of them, the best design, i.e. three-stage gearbox type of CLEMD is selected because of minimum weight and inertia of the components. This article is focused on the design and analysis of the three-stage gearbox type of CLEMD. On the basis of the output of numerical simulations of vehicle model, specifications for crank-lever electromagnetic damper (CLEMD) are driven and design is carried out. Also, performance analyses of CLEMD are carried out by interfacing model of CLEMD with the model of a vehicle. The advantage of CLEMD is it can act as an actuator to provide active force in an active suspension system.
Todmal, Prashant EknathMelzi, Stefano
SAE Truck & Off-Highway Engineering: December 201919TOFHP1212/5/2019
Heavy-duty engine design What are the most significant factors influencing the way engine developers approach near-term design and development cycles? Two experts provide their insights from recent programs. Reducing winter range loss for electric trucks Researchers at the Austrian Institute of Technology have developed an air exchange system that's capable of reducing heat load by 37% in real-world tests. Narrower focus, bigger payoff Design teams are targeting focused markets for their commercial electric-vehicle programs to combat challenges like range and infrastructure. Removing complexity for autonomous trucks Narrowing the operating domains for driverless commercial vehicles reduces the requirements of autonomous technology and speeds time to market. Plastics innovations 2019 The 49th annual SPE Automotive Awards highlight the ongoing benefits of lightweight polymers and composites. Editorial Hop on the hydrogen highway Leak testing of commercial-vehicle AC systems critical as move to HFO refrigerants looms Akasol packs industry-leading energy density into new battery design Mahle and partners develop super-efficient natural-gas engine for stationary power How battery technology will drive truck electrification Platinum nanoparticles for fuel-cell catalysts may cut cost Caterpillar launches next-gen mini hydraulic excavator, skid steer and compact track loaders Q&A Dan Williams shares how ZF will help advance ADAS and autonomy in 2020 and beyond
Development of a Graphical User Interface (GUI) Based Tool for Vehicle Dynamics Evaluation2019-28-239711/21/2019
Objective metrics for performance evaluation of ride, handling and steering are required to compare, validate and optimize dynamic behavior of vehicles. Some of these objective metrics are recommended and defined by International Organization for Standardization (ISO) and Society of Automotive Engineers (SAE), which involve data processing, statistical analysis and complex mathematical operations on acquired data through simulation or experimental testing. Due to the complexity of operations and volume of data, evaluation is often time consuming and tedious. Process automation using existing tools such as MS Excel, nCode, Siemens LMS, etc. includes several limitations and challenges, which make it cumbersome to implement. This work is about development of a centralized platform for quantification, visualization and comparison of ride, handling and steering performance metrics obtained from testing and simulation data as per relevant ISO standards. In this work ISO standards related to ride (ISO 2631-1, 2631-5, 10326), handling (ISO 4138, 7401) and steering (ISO 13674-1) are implemented and automated using built-in functions and toolboxes in MATLAB. Further, several mathematical tools and operations such as plot comparisons in time and frequency domain, filtering (band pass), data treatment (detrending, median filtering, etc.), coherence and delays, etc. are included, which are frequently used in addition to standard ISO and SAE metrics. Complete package is compiled as a user-friendly standalone graphical user interface (GUI), which enables cross-domain users to make use of it with minimal tool usage guidelines and with no license requirement.
Kedia, ShubhamJoshi, DivyanshuMuthiah, Saravanan
Effective Powertrain Isolation of Off-Highway Vehicles2019-28-010610/11/2019
A Powertrain is one of the major sources of excitation of a vehicle vibration and noise in off highway vehicles. It typically has a significant contribution in whole vehicle NVH characteristics. The structure borne energy of the powertrain is transmitted to the chassis and rest of the vehicle through powertrain mounts. Hence, it is of prime importance to design an effective powertrain mounting system in such a way that it will reduce vehicle vibrations to improve vehicle NVH as well as ride comfort, resulting in an effective vibration isolation system and ensuring long service life. In this paper, a newly developed an analytical tool for effective design of isolation system is discussed. For this model, powertrain is considered as a six degree-of-freedom system. Analytical calculations are implemented to find optimum mount design parameters i.e. stiffness, orientation and position of isolators to meet desired NVH targets. To achieve a good isolation characteristic, there is a necessity of decoupling of rigid body modes using optimization of various decoupling methods, which further helps in reducing the forces transmitted by the powertrain through the mounts. To evaluate coupling between the rigid body modes, modal energy distribution calculated from an analytical tool is used. The results from the developed analytical model are validated using commercially available tools for design of isolation systems.
Sakhala, PushpakMandke, DevendraDasabai, Balavardhan ReddyBurli, SandeepChandran, Sharan
Development of a Simulation Model for Computing Stable Configurations for Off - Road Vehicle2019-28-012610/11/2019
Off-highway vehicles operate under complex duty cycles which consist of handling varying terrain conditions under dynamic loads. A challenge for the equipment operator is to maintain stability of the vehicle during various field operations. The operator must make judgment calls on whether terrain and loading conditions are suitable for vehicle stability. In view of the increasing emphasis being placed on operator comfort and vehicle autonomy, a methodology to predict the degree of vehicle stability in varying terrains and dynamic loads will be an aid in designing safer vehicles. This paper describes a mathematical model capable of predicting the longitudinal overturning behavior of off-highway vehicle. A mathematical kinematic and dynamic model of the system is developed using Newton-Euler approach. This yields a system of non-linear equations which can be solved iteratively by using any commercial software to predict stability for varying terrains and dynamic loads. Given a vehicle geometry and terrain conditions, this methodology allows the simulation and prediction of various longitudinal overturning situations under dynamic loading. The modularity and scalability of the methodology will allow easy scaling and cross-product application. With increased focus on virtual design evaluation, this methodology also offers the ability to perform up-front evaluation of proposed designs for vehicle stability.
Malviya, Piyush KailashJawale, Vinit ShashikantPatil, OjasBandekar, AmeyaBarve, Sachin
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