Co-estimation of state of charge and model parameters for lithium-ion batteries based on variational Bayesian under time-varying noise and temperature conditions
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Elsevier BV
Reference37 articles.
1. Robust lithium-ion state-of-charge and battery parameters joint estimation based on an enhanced adaptive unscented Kalman filter;Hou;Energy,2023
2. Integrated framework for SOH estimation of lithium-ion batteries using multi-physics features;Son;Energy,2022
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4. A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter;Jiang;Energy,2021
5. Joint state-of-charge and state-of-available-power estimation based on the online parameter identification of lithium-ion battery model;Zhang;IEEE Trans. Ind. Electron.,2022
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