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Torque Optimal Allocation Strategy of All-Wheel Drive Electric Vehicle Based on Difference of Efficiency Characteristics between Axis Motors

Author

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  • Xiaogang Wu

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China
    State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Dianyu Zheng

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China)

  • Tianze Wang

    (School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, Heilongjiang, China
    State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Jiuyu Du

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

Abstract

All-wheel drive is an important technical direction for the future development of pure electric vehicles. The difference in the efficiency distribution of the shaft motor caused by the optimal load matching and motor manufacturing process, the traditional torque average distribution strategy is not applicable to the torque distribution of the all-wheel drive power system. Aiming at the above problems, this paper takes the energy efficiency of power system as the optimization goal, proposes a dynamic allocation method to realize the torque distribution of electric vehicle all-wheel drive power system, and analyzes and verifies the adaptability of this optimization algorithm in different urban passenger vehicle working cycles. The simulation results show that, compared with the torque average distribution method, the proposed method can effectively solve the problem that the difference of the efficiency distribution of the two shaft motors in the power system affects the energy consumption of the power system. The energy consumption rate of the proposed method is reduced by 5.96% and 5.69%, respectively, compared with the average distribution method under the China urban passenger driving cycle and the Harbin urban passenger driving cycle.

Suggested Citation

  • Xiaogang Wu & Dianyu Zheng & Tianze Wang & Jiuyu Du, 2019. "Torque Optimal Allocation Strategy of All-Wheel Drive Electric Vehicle Based on Difference of Efficiency Characteristics between Axis Motors," Energies, MDPI, vol. 12(6), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1122-:d:216330
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    References listed on IDEAS

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    1. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Han, Xuebing & Ouyang, Minggao, 2015. "Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach," Applied Energy, Elsevier, vol. 139(C), pages 151-162.
    2. Du, Jiuyu & Chen, Jingfu & Song, Ziyou & Gao, Mingming & Ouyang, Minggao, 2017. "Design method of a power management strategy for variable battery capacities range-extended electric vehicles to improve energy efficiency and cost-effectiveness," Energy, Elsevier, vol. 121(C), pages 32-42.
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    Cited by:

    1. 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.
    2. Xingxing Wang & Peilin Ye & Yujie Zhang & Hongjun Ni & Yelin Deng & Shuaishuai Lv & Yinnan Yuan & Yu Zhu, 2022. "Parameter Optimization Method for Power System of Medium-Sized Bus Based on Orthogonal Test," Energies, MDPI, vol. 15(19), pages 1-26, October.

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