Experimental Validation of State of Charge Estimation by Extended Kalman Filter and Modified Coulomb Counting
Author:
Affiliation:
1. Federal University Latin American Integration (UNILA)
2. Federal University of Latin American Integration – UNILA
3. Western Parana State University UNIOESTE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/9907/9904733/09904765.pdf?arnumber=9904765
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. An improved coulomb counting method based on non-destructive charge and discharge differentiation for the SOC estimation of NCM lithium-ion battery;Journal of Energy Storage;2023-12
2. High-precision State of Charge Estimation of Lithium-ion Batteries Based on Joint Compression Factor Particle Swarm Optimization-Forgetting Factor Recursive Least Square-Adaptive Extended Kalman Filtering;Journal of The Electrochemical Society;2023-06-01
3. An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries;Journal of Solid State Electrochemistry;2023-05-02
4. Construction of state of charge estimation method for automotive ternary batteries;State Estimation Strategies in Lithium-ion Battery Management Systems;2023
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