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 :
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