An Overview of Data-Driven Methods for the Online State of Charge Estimation
Author:
Affiliation:
1. Politecnico di Milano,Department of Energy,Milano,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9854509/9854408/09854413.pdf?arnumber=9854413
Reference49 articles.
1. Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions
2. State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network
3. State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture
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