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Design and Optimization of a High-Efficiency Lightweight Permanent Magnet In-Wheel Motor with Torque Performance Improvement

Author

Listed:
  • Zixuan Xiang

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Yu Miao

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Yuting Zhou

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Feng Li

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

In this paper, a lightweight permanent magnet in-wheel (LW-PMIW) motor is proposed. This research focuses on using a multi-modulation design to enhance the amplitude of the fundamental wave while suppressing high-order harmonics, thereby enabling the motor to achieve high output torque, a light weight, and a high efficiency. Firstly, a combined trade-off factor related to motor mass, losses, and torque is defined specifically to provide guidance for the design. Secondly, a dual-rotor structure is adopted, and a harmonic injection (HI) design is applied to the permanent magnets (PMs). By designing a targeted harmonic injection ratio coefficient, the non-working harmonics of the PM magnetomotive force (MMF) can be weakened. Then, two iron modulating blocks are introduced to asynchronously modulate the PM MMF, which can further enhance the fundamental amplitude and improve the distribution of the airgap magnetic field. Finally, to verify the effectiveness of the multi-modulation design, the electromagnetic performance of the motor is evaluated and analyzed. The analytical and simulation results show that the torque of the proposed motor can reach 35.4 Nm, which is an increase of 19.6% while the torque ripple remains unchanged compared with the initial motor. Meanwhile, the output power increased by 0.37 kW. Hence, the rationality and effectiveness of the motor design are verified.

Suggested Citation

  • Zixuan Xiang & Yu Miao & Yuting Zhou & Feng Li, 2025. "Design and Optimization of a High-Efficiency Lightweight Permanent Magnet In-Wheel Motor with Torque Performance Improvement," Energies, MDPI, vol. 18(17), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4509-:d:1732216
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    1. Yongyun Zhu & Bingbo Cui & Zelong Yu & Yuanyuan Gao & Xinhua Wei, 2024. "Tillage Depth Detection and Control Based on Attitude Estimation and Online Calibration of Model Parameters," Agriculture, MDPI, vol. 14(12), pages 1-19, November.
    2. Jinyang Li & Zhijian Shang & Runfeng Li & Bingbo Cui, 2022. "Adaptive Sliding Mode Path Tracking Control of Unmanned Rice Transplanter," Agriculture, MDPI, vol. 12(8), pages 1-14, August.
    3. Hongwei Zhang & Wei Ji & Bo Xu & Xiaowei Yu, 2024. "Optimizing Contact Force on an Apple Picking Robot End-Effector," Agriculture, MDPI, vol. 14(7), pages 1-16, June.
    4. En Lu & Jialin Xue & Tiaotiao Chen & Song Jiang, 2023. "Robust Trajectory Tracking Control of an Autonomous Tractor-Trailer Considering Model Parameter Uncertainties and Disturbances," Agriculture, MDPI, vol. 13(4), pages 1-17, April.
    5. Li Zhu & Shuren Chen & Zhan Zhao & Hantao Ding & Yongle Zhu, 2022. "Influence of Sieve Surface Attitude on Sieving Performance of Granular Materials with Non-Uniform Feeding Conditions," Agriculture, MDPI, vol. 12(12), pages 1-14, November.
    6. Yang Li & Lizhang Xu & Liya Lv & Yan Shi & Xun Yu, 2022. "Study on Modeling Method of a Multi-Parameter Control System for Threshing and Cleaning Devices in the Grain Combine Harvester," Agriculture, MDPI, vol. 12(9), pages 1-18, September.
    7. Zhexuan Ding & Zhong Tang & Ben Zhang & Zhao Ding, 2024. "Vibration Response of Metal Plate and Shell Structure under Multi-Source Excitation with Welding and Bolt Connection," Agriculture, MDPI, vol. 14(6), pages 1-22, May.
    8. Jinyang Li & Zhaozhao Wu & Meiqing Li & Zhijian Shang, 2024. "Dynamic Measurement Method for Steering Wheel Angle of Autonomous Agricultural Vehicles," Agriculture, MDPI, vol. 14(9), pages 1-21, September.
    9. Yao Yu & Shuaihua Hao & Songbao Guo & Zhong Tang & Shuren Chen, 2022. "Motor Torque Distribution Strategy for Different Tillage Modes of Agricultural Electric Tractors," Agriculture, MDPI, vol. 12(9), pages 1-22, September.
    10. Gan Zhang & Xiaoye Guo & Junjie Zhou & Wei Hua, 2025. "Review on the Development and Applications of Permanent Magnet Vernier Motors," Energies, MDPI, vol. 18(9), pages 1-19, May.
    11. Fugang Zhai & Liu Yang & Wenqi Fu & Haisheng Tong & Tianyu Zhao, 2022. "The Effects of Permanent Magnet Segmentations on Electromagnetic Performance in Ironless Brushless DC Motors," Energies, MDPI, vol. 15(2), pages 1-18, January.
    12. Dong Dai & Du Chen & Shumao Wang & Song Li & Xu Mao & Bin Zhang & Zhenyu Wang & Zheng Ma, 2023. "Compilation and Extrapolation of Load Spectrum of Tractor Ground Vibration Load Based on CEEMDAN-POT Model," Agriculture, MDPI, vol. 13(1), pages 1-20, January.
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