A novel adaptive state of charge estimation method of full life cycling lithium‐ion batteries based on the multiple parameter optimization
Author:
Affiliation:
1. School of Information Engineering Southwest University of Science and Technology Mianyang China
2. School of Pharmacy and Life Sciences Robert Gordon University Aberdeen UK
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Energy,Safety, Risk, Reliability and Quality
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.362
Reference61 articles.
1. State of health estimation of lithium-ion batteries based on the constant voltage charging curve
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4. Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries
5. An evolutionary framework for lithium-ion battery state of health estimation
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