Administrator by China Associction for Science and Technology
Sponsored by China Society of Automotive Engineers
Published by AUTO FAN Magazine Co. Ltd.

Automotive Engineering ›› 2024, Vol. 46 ›› Issue (9): 1678-1686.doi: 10.19562/j.chinasae.qcgc.2024.09.015

Previous Articles    

Research and Application of Reliability Method of Differential System of New Energy Vehicle in Off-road Scene on Sandy Surface

Xudong Jiang1,2,Zhenghong Li1,Minglang Zhang1,Huafang Cui1,Dapeng Yao1,Yiming Zhang1()   

  1. 1.BYD Auto Iudustry Company Limited,Shenzhen 518118
    2.School of Trgffic & Transportation Engineering,Central South University,Changsha  410075
  • Received:2024-05-30 Revised:2024-07-30 Online:2024-09-25 Published:2024-09-19
  • Contact: Yiming Zhang E-mail:zhang__yi_ming@136.com

Abstract:

Based on the current assessment status of the differential system of new energy vehicles, combined with the invalidation problem of the differential system installed on the cross-country type/sport sedan type, in the process of cross-country scene/racing track scene driving test, the application scenes, working principles, damage mechanisms and invalidation forms of the differential system installed on the cross-country type are analyzed in this paper. The Archard damage model is used for damage verification. Based on clustering analysis, the massive real automobile testing data collected from road test are screened and extracted, and then transformed into powertrain bench verification test conditions. The fault of the differential system of the road test automobile is reproduced, forming the reliability assessment ability of the differential system in the sand off-road scenario of new energy vehicles, which provides support for the selection and optimization of differential systems and the development of new automobile models. Meanwhile, this article also has certain reference value on how to improve the performance and reliability of differential systems.

Key words: cross-country vehicle, sport sedan automobile, differential system, damage model, cluster analysis, test verification