Abstract
Battery fault diagnosis techniques are regarded as significant means for guaranteeing safe operation of electric vehicles (EVs). Precise and effective techniques not only can improve safety and reliability of EVs but also accelerate the progress of EVs' market. Firstly, focusing on the battery management system and thermal management system, the latest research progress of battery state estimation and cooling technology in ensuring the safe operation of EVs is reviewed; Secondly, advanced technical means of data transmission security of battery system operation are introduced respectively at the vehicle local level and the vehicle terminal cloud network level; Additionally, from the perspective of big data, the fault diagnosis technology is summarized into three aspects: multi-scale data fusion, fault identification, and fault pre-alarming, and the advantages and disadvantages of the current technology are analyzed; Finally, in view of the difficulties faced by current fault diagnosis technology, the future research trend of EV's fault diagnosis method combining big data and artificial intelligence technology is prospected.
| Translated title of the contribution | Challenge and Prospects for Fault Diagnosis of Power Battery System for Electrical Vehicles Based on Big-data |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 52-63 |
| Number of pages | 12 |
| Journal | Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering |
| Volume | 57 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - 20 Jul 2021 |