A fast estimation algorithm for lithium-ion battery state of health

• Published in: Journal of power sources Vol. 396; pp. 453 - 458
• Main Authors: Tang, Xiaopeng, Zou, Changfu, Yao, Ke, Chen, Guohua, Liu, Boyang, He, Zhenwei, Gao, Furong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 31.08.2018
• Subjects: Battery management system; Incremental capacity analysis; Lithium-ion batteries; State of health estimation; Lithium-ion batteries; State of health estimation; Incremental capacity analysis; Battery management system

This paper proposes a novel and computationally efficient estimation algorithm for lithium-ion battery state of health (SoH) under the hood of incremental capacity analysis. Concepts of regional capacity and regional voltage are introduced to develop an SoH model against experimental cycling data fr...