A Novel Adaptive Unscented Kalman Filter Algorithm for SOC Estimation to Reduce the Sensitivity of Attenuation Coefficient
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Publisher
Elsevier BV
Reference33 articles.
1. State of Charge (SOC) Estimation of Lithium-ion Battery Based on Adaptive Square Root Unscented Kalman Filter;Kai W Xiao;International Journal of Electrochemical Science,2020
2. A combined method for state-of-charge estimation for lithiumion batteries using a long short-term memory network and an adaptive cubature Kalman filter;Y Tian;Applied Energy,2020
3. Energy management strategy based on health state for a PEMFC/Lithium-ion batteries hybrid power system;C Sheng;Energy Conversion and Management,2022
4. Online Estimation of SOC in Power Cell Based on Improved UKF Algorithm;Zhichao Geng;Advances in Energy and Power Engineering,2018
5. A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations;M A Hannan;Renewable and Sustainable Energy Reviews,2017
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