Online state and parameter estimation of the Li-ion battery in a Bayesian framework
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6573242/6579790/06580563.pdf?arnumber=6580563
Cited by 10 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. Set-based joint state and parameter estimation of a Li-ion cell using constrained zonotopes;2022 IEEE Vehicle Power and Propulsion Conference (VPPC);2022-11
2. Real-time state-of-health monitoring of lithium-ion battery with anomaly detection, Levenberg–Marquardt algorithm, and multiphase exponential regression model;Neural Computing and Applications;2020-06-03
3. Quantitative Parameter Estimation, Model Selection, and Variable Selection in Battery Science;Journal of The Electrochemical Society;2019-08-16
4. State of health estimation for lithium ion batteries based on an equivalent-hydraulic model: An iron phosphate application;Journal of Energy Storage;2019-02
5. Bayesian uncertainty quantification in inverse modeling of electrochemical systems;Journal of Computational Chemistry;2018-12-28
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