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HESO Based Motor-Level Traction Torque Balancing Strategy for Dual PMSMs in Distributed Rear-Wheel-Drive EV Under Single-Wheel Slip

  • Ruizhi Guan
  • , Jinglin Liu
  • , Chao Gong
  • , Shoujun Song
  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件文章同行评审

摘要

In distributed rear-wheel-drive electric vehicles (DRWDEVs), traction torque balance between the two driving wheels is usually achieved through chassis-level coordinated control of the dual permanent magnet synchronous motors; however, such coordination imposes certain demands on controller communication, vehicle motion sensors, and computational resources. To simplify control and provide safety redundancy under emergency conditions, this article proposes a motor-level coordinated control strategy. A single observer based on differential motor states replaces the traditional dual-observer scheme, and a hybrid extended state observer is developed. Experimental comparisons with a sliding-mode extended state observer demonstrate the superior performance of the proposed method. Furthermore, a relationship between the traction torque difference and the observer gain is established via a specially designed smooth nonlinear function, achieving a balanced improvement in dynamic and steady-state performance. The proposed approach attains traction torque balance during single-wheel slip in straight-line DRWDEV operation using only bottom layer motor control, without the need for vehicle motion sensors, vehicle dynamic models, or a hierarchical control architecture, thereby greatly reducing control complexity. Experimental results verify the effectiveness and superiority of the proposed control strategy in traction torque balancing.

源语言英语
期刊IEEE Transactions on Industrial Electronics
DOI
出版状态已接受/待刊 - 2026

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