An adaptive fusion estimation algorithm for state of charge of lithium-ion batteries considering wide operating temperature and degradation

• Published in: Journal of power sources Vol. 462; p. 228132
• Main Authors: Shu, Xing, Li, Guang, Shen, Jiangwei, Yan, Wensheng, Chen, Zheng, Liu, Yonggang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 30.06.2020
• Subjects: Adaptive H-infinity filter; Least square support vector machine; Model-based method; State of charge; Least square support vector machine; Adaptive H-infinity filter; Model-based method; State of charge

In this paper, an adaptive fusion algorithm is proposed to robustly estimate the state of charge of lithium-ion batteries. An improved recursive least square algorithm with a forgetting factor is employed to identify parameters of the built equivalent circuit model, and the least square support vect...