Modified Gradient Identification Method Based on Kernel Function for Lithium Batteries
Author:
Affiliation:
1. School of Automation and Artificial Intelligence, Nanjing University of Posts and Telecommunications,Nanjing,P. R. China,210023
2. School of Internet of Things, Nanjing University of Posts and Telecommunications,Nanjing,P. R. China,210003
Funder
Natural Science Foundation of Jiangsu Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239811.pdf?arnumber=10239811
Reference21 articles.
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3. Improved splice‐electrochemical circuit polarization modeling and optimized dynamic functional multi‐innovation least square parameter identification for lithium‐ion batteries
4. Parameter identification of lithium bat-tery model based on improved fireworks algorithm;li;40th Chinese Control conference,2021
5. Correlation Analysis-based Stochastic Gradient and Least Squares Identification Methods for Errors-in-variables Systems Using the Multiinnovation
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