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An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries
An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries
An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries
Li, Yan (author) / Ye, Min (author, ) / Wang, Qiao (author) / Lian, Gaoqi (author) / Xia, Baozhou (author)
2024-01-01
[1]-11 pages
Green energy and intelligent transportation 3(4), 100163 (2024). doi:10.1016/j.geits.2024.100163
Miscellaneous
Electronic Resource
English
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State of Charge Estimation of Lithium-Ion Battery Based on Improved Adaptive Unscented Kalman Filter
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