IC Curve-Based Lithium-Ion Battery SOC Estimation at High Rate Charging Current
Author:
Affiliation:
1. School of Engineering Science, University of Science and Technology of China, Hefei, Anhui, China
2. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
Funder
National Natural Science Foundation of China
Key Research and Development Plan of Anhui Province
Anhui Provincial Natural Science Foundation
Hefei Municipal Natural Science Foundation
State Key Laboratory of Mechanical System and Vibration
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09737467.pdf?arnumber=9737467
Reference42 articles.
1. Low-temperature and high-rate-charging lithium metal batteries enabled by an electrochemically active monolayer-regulated interface
2. An electrochemical model for high C-rate conditions in lithium-ion batteries
3. A Novel State of Charge Approach of Lithium Ion Battery Using Least Squares Support Vector Machine
4. State-of-charge (SOC) estimation using T-S Fuzzy Neural Network for Lithium Iron Phosphate Battery
5. Remaining Useful Life Estimation for Prognostics of Lithium-Ion Batteries Based on Recurrent Neural Network
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