Dynamic Testing of In-Wheel Motor Based Electric Vehicle in Longitudinal Direction

Muhammad Shukri Azizi Razak, Fauzi Ahmad, Mohd Hanif Che Hasan, Hishamuddin Jamaluddin
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Abstract

This paper presents an investigation into the performance of in-wheel motor (IWM) based electric vehicles (IWM-EV) in the longitudinal direction. The design of IWM-EV is an innovation of the conventional go-kart vehicle with slightly modifications in steering, suspension, and braking system, which then makes use three-phase permanent magnet synchronous in-wheel motor (PMSM-IWM) at both of the rear axle wheels. An extension of that is a simulation of IWM-EV vehicle using a 5-degree-of-freedom vehicle longitudinal model that has been developed by incorporating PMSM-IWM as a drive wheel located at the rear axles. Using the simulation, vehicle dynamic control in the longitudinal direction-based Proportional-Integral-Derivative (PID) controller has also been strategized. As the intention to confirm the capability of the IWM-EV, experimental studies-based real IWM-EV hardware have been conducted. Three dynamic tests that generalized from SAE standard SAE J866-199908, namely acceleration performance at the level pavement (include acceleration tests and acceleration then braking tests) and road gradient tests at constant speeds of 10, 15 and 20 km/h, were used as the testing method. The performance areas evaluated were vehicle body speed, wheel speed, distance travel experienced by the vehicle, IWMs current, drive torque as well as the battery voltage capacity used by the vehicle. The finding indicate that the simulation results and experimental data are similar with less than 5 % error. The outcomes from this study will be considered in the design optimization of a torque vectoring control in the next research study.
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轮毂电机电动汽车纵向动态试验研究
本文对轮毂电机驱动的电动汽车的纵向行驶性能进行了研究。IWM-EV的设计是对传统卡丁车的创新,在转向、悬挂和制动系统上进行了轻微的修改,然后在两个后轴车轮上使用三相永磁同步轮内电机(PMSM-IWM)。在此基础上,对IWM-EV车辆进行了扩展,使用了一个5自由度的车辆纵向模型,该模型是通过将PMSM-IWM作为位于后轴的驱动轮而开发的。通过仿真,提出了基于纵向的比例积分导数(PID)控制器的车辆动态控制策略。为了验证IWM-EV的性能,进行了基于实际IWM-EV硬件的实验研究。试验方法采用从SAE标准SAE J866-199908中推广而来的三个动态试验,即水平路面加速性能(包括加速度试验和先加速度后制动试验)和等速10、15和20 km/h下的路面坡度试验。评估的性能领域包括车身速度、车轮速度、车辆行驶距离、IWMs电流、驱动扭矩以及车辆使用的电池电压容量。结果表明,仿真结果与实验数据基本吻合,误差小于5%。本研究的结果将在下一步的研究中用于转矩矢量控制的设计优化。
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来源期刊
CiteScore
2.40
自引率
10.00%
发文量
43
审稿时长
20 weeks
期刊介绍: The IJAME provides the forum for high-quality research communications and addresses all aspects of original experimental information based on theory and their applications. This journal welcomes all contributions from those who wish to report on new developments in automotive and mechanical engineering fields within the following scopes. -Engine/Emission Technology Automobile Body and Safety- Vehicle Dynamics- Automotive Electronics- Alternative Energy- Energy Conversion- Fuels and Lubricants - Combustion and Reacting Flows- New and Renewable Energy Technologies- Automotive Electrical Systems- Automotive Materials- Automotive Transmission- Automotive Pollution and Control- Vehicle Maintenance- Intelligent Vehicle/Transportation Systems- Fuel Cell, Hybrid, Electrical Vehicle and Other Fields of Automotive Engineering- Engineering Management /TQM- Heat and Mass Transfer- Fluid and Thermal Engineering- CAE/FEA/CAD/CFD- Engineering Mechanics- Modeling and Simulation- Metallurgy/ Materials Engineering- Applied Mechanics- Thermodynamics- Agricultural Machinery and Equipment- Mechatronics- Automatic Control- Multidisciplinary design and optimization - Fluid Mechanics and Dynamics- Thermal-Fluids Machinery- Experimental and Computational Mechanics - Measurement and Instrumentation- HVAC- Manufacturing Systems- Materials Processing- Noise and Vibration- Composite and Polymer Materials- Biomechanical Engineering- Fatigue and Fracture Mechanics- Machine Components design- Gas Turbine- Power Plant Engineering- Artificial Intelligent/Neural Network- Robotic Systems- Solar Energy- Powder Metallurgy and Metal Ceramics- Discrete Systems- Non-linear Analysis- Structural Analysis- Tribology- Engineering Materials- Mechanical Systems and Technology- Pneumatic and Hydraulic Systems - Failure Analysis- Any other related topics.
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