Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses

2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)(2021)

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摘要
Batteries are a safety-critical and the most expensive component for electric vehicles (EVs). To ensure the reliability of the EVs in operation, it is crucial to monitor the state of health of those batteries. Monitoring their deterioration is also relevant to the sustainability of the transport solutions, through creating an efficient strategy for utilizing the remaining capacity of the battery a...
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关键词
Training,Transfer learning,Feature extraction,Second Life,Batteries,Reliability,Task analysis
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