Integrated Design and Dynamic Response Analysis of the EV Reducer Considering Mass Eccentricity

Yuan Guan, Yao Li (), Yue Deng, Gaoxiang Ni, Zifan Fang and Dong Huang
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Yuan Guan: College of Mechanical & Power, China Three Gorges University, Yichang 443002, China
Yao Li: College of Mechanical & Power, China Three Gorges University, Yichang 443002, China
Yue Deng: College of Mechanical & Power, China Three Gorges University, Yichang 443002, China
Gaoxiang Ni: College of Mechanical & Power, China Three Gorges University, Yichang 443002, China
Zifan Fang: College of Mechanical & Power, China Three Gorges University, Yichang 443002, China
Dong Huang: Department of Technology, Chongqing Tsingshan Industrial Co., Ltd., Chongqing 402776, China

Energies, 2025, vol. 18, issue 3, 1-17

Abstract: To meet the high-performance demands of electric vehicle reducers, the authors present a novel approach for parameter matching in electric drive systems for electric vehicles. Based on fuzzy evaluation, the method identifies the optimal performance parameters for the entire vehicle and determines the best transmission ratio scheme for the reducer. The gear geometrical parameters of the reducer are derived using the transmission ratio scheme as the constraint condition. An 18-degree-of-freedom dynamic system model, incorporating factors such as time-varying mesh stiffness, the backlash, time-varying transmission error and mass eccentricity, has been built using Matlab. The dynamic response of the gear system under the designed gear parameter scheme have been analyzed and compared with the gear parameter results obtained using KISSsoft, demonstrating the accuracy and rigour of the design. This research has practical implications for the design and performance optimization of electric vehicle reducers.

Keywords: parameter matching; gear design; nonlinear dynamics; mass eccentricity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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