System Identification of Battery Single Particle Model Parameters Using New Data Optimization Approach
Author:
Affiliation:
1. University of California,Department of Mechanical and Aerospace Engineering,Davis,CA,USA,95616
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867365.pdf?arnumber=9867365
Reference36 articles.
1. Data optimization for parameter estimation under system uncertainties with application to liion battery;lai;2021 American Control Conference (ACC),2021
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1. Reinforcement Learning of Optimal Input Excitation for Parameter Estimation With Application to Li-Ion Battery;IEEE Transactions on Industrial Informatics;2023-11
2. Data selection framework for battery state of health related parameter estimation under system uncertainties;eTransportation;2023-10
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