Adaptive Forgetting Factor Based Least Squares Method for Lithium Battery Parameter Identification
Author:
Affiliation:
1. Guangxi Power Grid Co., Ltd. Training and Evaluation Center Guangxi Power Grid Co., Ltd,Guangxi,China
2. Electric Power Research Institute of Guangxi Power Grid Co., Ltd Guangxi Power Grid Co., Ltd,Guangxi,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601630/10601669/10602288.pdf?arnumber=10602288
Reference12 articles.
1. A novel method of parameter identification and state of charge estimation for lithium-ion battery energy storage system
2. State-of-charge estimation for the lithium-ion battery based on adaptive extended Kalman filter using improved parameter identification
3. Parameter identification of lithium-ion battery pseudo-2-dimensional models using genetic algorithm and neural network cooperative optimization
4. Parameter identification method for the variable order fractional-order equivalent model of lithium-ion battery
5. Electrochemical Impedance Spectroscopy: A New Chapter in the Fast and Accurate Estimation of the State of Health for Lithium-Ion Batteries
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