An integrated approach for real-time model-based state-of-charge estimation of lithium-ion batteries

• Published in: Journal of power sources Vol. 283; pp. 24 - 36
• Main Authors: Zhang, Cheng, Li, Kang, Pei, Lei, Zhu, Chunbo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2015
• Subjects: Extended Kalman filter; Hysteresis effect; LiFePo4 battery; Real-time SOC estimation; Teaching learning based optimization (TLBO) method; Weighted recursive least square; Weighted recursive least square; Teaching learning based optimization (TLBO) method; LiFePo4 battery; Real-time SOC estimation; Hysteresis effect; Extended Kalman filter

Lithium-ion batteries have been widely adopted in electric vehicles (EVs), and accurate state of charge (SOC) estimation is of paramount importance for the EV battery management system. Though a number of methods have been proposed, the SOC estimation for Lithium-ion batteries, such as LiFePo4 batte...