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Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels

Author

Listed:
  • Wen Sun

    (Changzhou Institute of Technology, College of Automotive Engineering, Changzhou 213001, China
    State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Juncai Rong

    (Changzhou Institute of Technology, College of Automotive Engineering, Changzhou 213001, China)

  • Junnian Wang

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Wentong Zhang

    (School of Machinery and Rail Transit, Changzhou University, Changzhou 213001, China)

  • Zidong Zhou

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

Abstract

This paper aims to explore torque optimization control issue in the turning of EV (Electric Vehicles) with motorized wheels for reducing energy consumption in this process. A three-degree-of-freedom (3-DOF) vehicle dynamics model is used to analyze the total longitudinal force of the vehicle and explain the influence of torque vectoring distribution (TVD) on turning resistance. The Genetic Algorithm-Particle Swarm Optimization Hybrid Algorithm (GA-PSO) is used to optimize the torque distribution coefficient offline. Then, a torque optimization control strategy for obtaining minimum turning energy consumption online and a torque distribution coefficient (TDC) table in different cornering conditions are proposed, with the consideration of vehicle stability and possible maximum energy-saving contribution. Furthermore, given the operation points of the in-wheel motors, a more accurate TDC table is developed, which includes motor efficiency in the optimization process. Various simulation results showed that the proposed torque optimization control strategy can reduce the energy consumption in cornering by about 4% for constant motor efficiency ideally and 19% when considering the motor efficiency changes in reality.

Suggested Citation

  • Wen Sun & Juncai Rong & Junnian Wang & Wentong Zhang & Zidong Zhou, 2021. "Research on Optimal Torque Control of Turning Energy Consumption for EVs with Motorized Wheels," Energies, MDPI, vol. 14(21), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6947-:d:662220
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    References listed on IDEAS

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    1. Alessandro Serpi & Mario Porru, 2019. "Modelling and Design of Real-Time Energy Management Systems for Fuel Cell/Battery Electric Vehicles," Energies, MDPI, vol. 12(22), pages 1-21, November.
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    Cited by:

    1. Junnian Wang & Siwen Lv & Nana Sun & Shoulin Gao & Wen Sun & Zidong Zhou, 2021. "Torque Vectoring Control of RWID Electric Vehicle for Reducing Driving-Wheel Slippage Energy Dissipation in Cornering," Energies, MDPI, vol. 14(23), pages 1-16, December.
    2. Wen Sun & Yang Chen & Junnian Wang & Xiangyu Wang & Lili Liu, 2022. "Research on TVD Control of Cornering Energy Consumption for Distributed Drive Electric Vehicles Based on PMP," Energies, MDPI, vol. 15(7), pages 1-19, April.

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