DocumentCode
3760562
Title
EV battery SOH diagnosis method based on discrete Fr?chet distance
Author
Jiao Dongsheng;Wang Haiyun
Author_Institution
Beijing Electric Power Research Institute, Beijing Electric Power Company, Beijing, China PRC
fYear
2015
Firstpage
2634
Lastpage
2639
Abstract
The power battery of electric vehicle may be limited by battery safety issues and power problems. The key points of this paper are firstly it combines discrete Fréchet distance method with discharge curve identification method, and then it proposes a kind of new state of health diagnose method base on line testing platform. Through the CAN communication module, the system could control the power battery to finish on line full charge and discharge test. And also the system could get the actual operational status data to build life cycle databases of electric vehicle, which can predict the state of health diagnose. The results of the SOH could guide power battery safety assessment and balance maintain. Through analyzing simulation results between the SOH diagnose results with returned test data results, qualitative indicates the decline of EV battery.
Keywords
"Batteries","Partial discharges","Electric vehicles","Safety","Discharges (electric)","Decision support systems","Power industry"
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
Type
conf
DOI
10.1109/DRPT.2015.7432694
Filename
7432694
Link To Document