Lithium Battery SOC Estimation Based on Multi-Innovation Unscented and Fractional Order Square Root Cubature Kalman Filter

Accurate state-of-charge (SOC) estimation of lithium batteries is of great significance for electric vehicles. In this paper, a combined estimation method of multi-innovation unscented Kalman filter (MIUKF) and fractional order square root cubature Kalman filter (FSRCKF) for lithium batteries is pro...

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Библиографические подробности

Главные авторы:	Likun Xing, Xianyuan Wu, Liuyi Ling, Lu Lu, Liang Qi
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-09-01
Серии:	Applied Sciences
Предметы:	state-of-charge multi-innovation unscented Kalman filter fractional order square root cubature Kalman filter adaptive genetic algorithm the fractional order model
Online-ссылка:	https://www.mdpi.com/2076-3417/12/19/9524
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