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

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...

Full description

Bibliographic Details
Main Authors: Likun Xing, Xianyuan Wu, Liuyi Ling, Lu Lu, Liang Qi
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
state-of-charge
multi-innovation unscented Kalman filter
fractional order square root cubature Kalman filter
adaptive genetic algorithm
the fractional order model
Online Access:https://www.mdpi.com/2076-3417/12/19/9524

Internet

https://www.mdpi.com/2076-3417/12/19/9524

Similar Items