An In Situ Full Charge Capacity Estimation Algorithm for Li-Ion Batteries Using Recursive Least-Squares Identification with Adaptive Forgetting Factor Tuning. (6th January 2017)

• Record Type: Journal Article
• Authors: Lin, Lei; Ono, Hironori; Fukui, Masahiro; Takaba, Kiyotsugu
• Is Part Of: ECS transactions. Volume 75:Number 20(2016)
• Page Start: 111
• Page End: 119
• Publication Date: 2017-01-06
• Subjects: Electrochemistry -- Periodicals; Electrochemistry; Periodicals; Electronic journals; Electronic journal; 541.37
• DOI: 10.1149/07520.0111ecst
• Languages: English
• ISSNs: 1938-5862

Abstract

Abstract : This paper discuss a full charge capacity (FCC) estimation system for lithium ion batteries based on the recursive least-squares identification. The accuracy of the estimation is depended on accuracy of the state of charge (SOC) estimation. The authors have newly formulated the adaptive forgetting factor for recursive least- squares identification. As the result, the error rate of the SOC estimation has been improved. The evaluation shows the new FCC estimation system can be used for various temperature conditions.