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  • Open Access

30 January 2026

22 Pages

Mechanism Analysis and Integrated Optimization for Reducing Low-Speed Starting Noise in Electric Vehicles

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1
International Joint Research Center for Smart Grid Optimization and Control Technologies, Hunan University, Changsha 410082, China
2
School of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan 411104, China
3
Kaili Power Supply Bureau of Guizhou Power Grid Co., Ltd., Kaili 556099, China
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This article belongs to the Section Manufacturing

Abstract

To address the low-speed starting noise in a small electric vehicle, this study proposes and validates a systematic diagnostic and optimization methodology. A novel objective testing method, based on energy tracking and matching, is first employed for precise noise source localization. Combined with electromagnetic force wave analysis, this method identifies the coupling between a 24th-order motor excitation and a powertrain structural mode as the root cause. Subsequently, a low-cost, integrated optimization scheme is presented, which synergistically combines three strategies: motor control refinement, powertrain natural frequency tuning, and mount isolation enhancement. Experimental validation demonstrates that this multi-domain approach reduces the sound pressure level at the driver’s ear by 4–6 dB(A), effectively eliminating the abnormal audible noise during starting and significantly improving the in-cabin sound quality. This paper offers a cost-effective engineering framework for resolving low-speed, low-frequency noise problems in electric vehicles.

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