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Torque Distribution Algorithm for an Independently Driven Electric Vehicle Using a Fuzzy Control Method

Author

Listed:
  • Jinhyun Park

    (School of Mechanical Engineering Sungkyunkwan University, Suwon, Gyeonggi 440-746, Korea)

  • Houn Jeong

    (School of Mechanical Engineering Sungkyunkwan University, Suwon, Gyeonggi 440-746, Korea)

  • In Gyu Jang

    (Advanced technology, Development I Mando Global R&D Center, Seongnam, Gyeonggi 463-400, Korea)

  • Sung-Ho Hwang

    (School of Mechanical Engineering Sungkyunkwan University, Suwon, Gyeonggi 440-746, Korea)

Abstract

The in-wheel electric vehicle is expected to be a popular next-generation vehicle because an in-wheel system can simplify the powertrain and improve driving performance. In addition, it also has an advantage in that it maximizes driving efficiency through independent torque control considering the motor efficiency. However, there is an instability problem if only the driving torque is controlled in consideration of only the motor efficiency. In this paper, integrated torque distribution strategies are proposed to overcome these problems. The control algorithm consists of various strategies for optimizing driving efficiency, satisfying driver demands, and considering tire slip and vehicle cornering. Fuzzy logic is used to determine the appropriate timing of intervention for each distribution strategy. A performance simulator for in-wheel electric vehicles was developed by using MATLAB/Simulink and CarSim to validate the control strategies. From simulation results under complex driving conditions, the proposed algorithm was verified to improve both the driving stability and fuel economy of the in-wheel vehicle.

Suggested Citation

  • Jinhyun Park & Houn Jeong & In Gyu Jang & Sung-Ho Hwang, 2015. "Torque Distribution Algorithm for an Independently Driven Electric Vehicle Using a Fuzzy Control Method," Energies, MDPI, vol. 8(8), pages 1-25, August.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:8:p:8537-8561:d:54064
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    References listed on IDEAS

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    1. Guoqing Xu & Weimin Li & Kun Xu & Zhibin Song, 2011. "An Intelligent Regenerative Braking Strategy for Electric Vehicles," Energies, MDPI, vol. 4(9), pages 1-17, September.
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    1. Jinhyun Park & In Gyu Jang & Sung-Ho Hwang, 2018. "Torque Distribution Algorithm for an Independently Driven Electric Vehicle Using a Fuzzy Control Method: Driving Stability and Efficiency," Energies, MDPI, vol. 11(12), pages 1-22, December.
    2. Jamal Abd Ali & Mahammad A Hannan & Azah Mohamed, 2015. "A Novel Quantum-Behaved Lightning Search Algorithm Approach to Improve the Fuzzy Logic Speed Controller for an Induction Motor Drive," Energies, MDPI, vol. 8(11), pages 1-25, November.
    3. Liqiang Jin & Duanyang Tian & Qixiang Zhang & Jingjian Wang, 2020. "Optimal Torque Distribution Control of Multi-Axle Electric Vehicles with In-wheel Motors Based on DDPG Algorithm," Energies, MDPI, vol. 13(6), pages 1-19, March.
    4. Wanke Cao & Helin Liu & Cheng Lin & Yuhua Chang & Zhiyin Liu & Antoni Szumanowski, 2017. "Co-Design Based Lateral Motion Control of All-Wheel-Independent-Drive Electric Vehicles with Network Congestion," Energies, MDPI, vol. 10(10), pages 1-16, October.

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