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Research on Non-Current-Sensor Control of Permanent Magnet Synchronous Motor for Vehicle
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Nianzhong Zhang, Qiang Song, Guanfeng Wang, Mingsheng Wang
Automotive Engineering | 2024, 46(2) : 281 - 289
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Automotive Engineering | 2024, 46(2): 281-289
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Research on Non-Current-Sensor Control of Permanent Magnet Synchronous Motor for Vehicle
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Nianzhong Zhang, Qiang Song, Guanfeng Wang, Mingsheng Wang
Affiliations
  • Beijing Institute of Technology,National Engineering Laboratory for Electric Vehicles,Beijing 100081
Published: 2024-02-25 doi: 10.19562/j.chinasae.qcgc.2024.02.010
Outline
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In view of the complex and changeable vehicle environment of electric vehicles,which affects the measurement accuracy of current sensors,and the worse situation will lead to the failure of one-phase or multi-phase current sensors in the motor drive system,therefore,a non-current-sensor control algorithm based on extended Kalman filter is proposed in this paper. The stator current of the motor is reconstructed by using the stator voltage,rotor position and speed information of the permanent magnet synchronous motor,and the feed forward compensation is designed to improve the dynamic performance of the system regarding the system delay caused by the non-current-sensor algorithm. The acceleration and deceleration and robustness tests of the proposed algorithm are carried out. The effectiveness of the proposed method is verified by the simulation and experimental results.

electric vehicle  /  extended Kalman filtering  /  non-current-sensor  /  feed-forward compensation
Nianzhong Zhang, Qiang Song, Guanfeng Wang, Mingsheng Wang. Research on Non-Current-Sensor Control of Permanent Magnet Synchronous Motor for Vehicle[J]. Automotive Engineering, 2024 , 46 (2) : 281 -289 . DOI: 10.19562/j.chinasae.qcgc.2024.02.010
Year 2024 volume 46 Issue 2
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.02.010
  • Receive Date:2023-07-02
  • Online Date:2025-07-20
  • Published:2024-02-25
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History
  • Received:2023-07-02
  • Revised:2023-08-04
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    Beijing Institute of Technology,National Engineering Laboratory for Electric Vehicles,Beijing 100081
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2024.02.010
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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