A Real-time Fault Assessment Method for Electric Vehicles based on EV-Pile Interaction Data
Author:
Affiliation:
1. China Electric Power Research Institute,Beijing EV Charging and Battery Swapping Engineering Technology Research Center,Beijing,China
2. Hebei University,College of Electronic Information Engineering,Baoding,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601630/10601669/10602203.pdf?arnumber=10602203
Reference15 articles.
1. Electric vehicle charging state monitoring and multi-level safety forecasting police method[J];Gao;Journal of Electrotechnology,2022
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3. Synchronous multi-parameter prediction of battery systems on electric vehicles using long short-term memory networks
4. A review on the fault diagnosis of power battery system in new energy vehicles[J];Sun;Journal of Mechanical Engineering,2021
5. Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods
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