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Research on a Sliding Mode Vector Control System Based on Collaborative Optimization of an Axial Flux Permanent Magnet Synchronous Motor for an Electric Vehicle

Author

Listed:
  • Jianfei Zhao

    (School of Mechatronic Engineering and Automation, Shanghai University, Baoshan District, Shanghai 200444, China)

  • Minqi Hua

    (School of Mechatronic Engineering and Automation, Shanghai University, Baoshan District, Shanghai 200444, China
    Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Minhang District, Shanghai 200240, China)

  • Tingzhang Liu

    (School of Mechatronic Engineering and Automation, Shanghai University, Baoshan District, Shanghai 200444, China)

Abstract

In this paper, a sliding mode vector control system based on collaborative optimization of an axial flux permanent magnet synchronous motor (AFPMSM) for an electric vehicle is proposed. In order to increase the high efficiency range of electric vehicles and improve the cruising range, a collaborative optimization control strategy is firstly proposed. Due to the use of a dual stator-single rotor AFPMSM, the multi-motor efficiency optimization map and torque cooperative control are used to realize the working mode conversion of single stator and double stator, and the torque ripple caused by the working mode conversion is improved by fuzzy control. In order to improve the torque tracking capability, speed limiting characteristics, and operating characteristics, a speed limit and current vector control strategy based on a sliding mode controller is proposed and studied. The dynamic performance of electric vehicles is improved by a sliding mode vector control. Finally, a drive control system was developed for the proposed control strategy, and the complete vehicle test was carried out. The collaborative optimization control experiment and torque tracking and speed limiting experiments verify the correctness and effectiveness of the proposed control strategy. The acceleration performance and endurance experiments show that the proposed control strategy can effectively improve the cruising range and the acceleration performance of electric vehicles.

Suggested Citation

  • Jianfei Zhao & Minqi Hua & Tingzhang Liu, 2018. "Research on a Sliding Mode Vector Control System Based on Collaborative Optimization of an Axial Flux Permanent Magnet Synchronous Motor for an Electric Vehicle," Energies, MDPI, vol. 11(11), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3116-:d:182064
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    References listed on IDEAS

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    1. Christopher H. T. Lee & Chunhua Liu & K. T. Chau, 2014. "A Magnetless Axial-Flux Machine for Range-Extended Electric Vehicles," Energies, MDPI, vol. 7(3), pages 1-17, March.
    2. Lei Yu & Youtong Zhang & Wenqing Huang, 2017. "Accurate and Efficient Torque Control of an Interior Permanent Magnet Synchronous Motor in Electric Vehicles Based on Hall-Effect Sensors," Energies, MDPI, vol. 10(3), pages 1-15, March.
    3. Jing Zhao & Bin Li & Zhongxin Gu, 2015. "Research on an Axial Flux PMSM with Radially Sliding Permanent Magnets," Energies, MDPI, vol. 8(3), pages 1-22, February.
    4. Liang Chu & Yi-fan Jia & Dong-sheng Chen & Nan Xu & Yan-wei Wang & Xin Tang & Zhe Xu, 2017. "Research on Control Strategies of an Open-End Winding Permanent Magnet Synchronous Driving Motor (OW-PMSM)-Equipped Dual Inverter with a Switchable Winding Mode for Electric Vehicles," Energies, MDPI, vol. 10(5), pages 1-22, May.
    5. Yee Pien Yang & Guan Yu Shih, 2016. "Optimal Design of an Axial-Flux Permanent-Magnet Motor for an Electric Vehicle Based on Driving Scenarios," Energies, MDPI, vol. 9(4), pages 1-18, April.
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    Cited by:

    1. Jianfei Zhao & Qingjiang Han & Ying Dai & Minqi Hua, 2019. "Study on the Electromagnetic Design and Analysis of Axial Flux Permanent Magnet Synchronous Motors for Electric Vehicles," Energies, MDPI, vol. 12(18), pages 1-21, September.
    2. Kang Wang & Ruituo Huai & Zhihao Yu & Xiaoyang Zhang & Fengjuan Li & Luwei Zhang, 2019. "Comparison Study of Induction Motor Models Considering Iron Loss for Electric Drives," Energies, MDPI, vol. 12(3), pages 1-13, February.
    3. Xin Ba & Zhenjie Gong & Youguang Guo & Chengning Zhang & Jianguo Zhu, 2022. "Development of Equivalent Circuit Models of Permanent Magnet Synchronous Motors Considering Core Loss," Energies, MDPI, vol. 15(6), pages 1-18, March.

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