Online state of charge and state of health estimation for a lithium-ion battery based on a data–model fusion method

• Main Authors: Wei, Zhongbao, Leng, Feng, He, Zhongjie, Zhang, Wenyu, Li, Kaiyuan
• Other Authors: Energy Research Institute @ NTU (ERI@N)
• Format: Article
• Language: English
• Published: 2018
• Subjects: State of Health; State of Charge; DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/88313; http://hdl.handle.net/10220/45668
• Institution: Nanyang Technological University

The accurate monitoring of state of charge (SOC) and state of health (SOH) is critical for the reliable management of lithium-ion battery (LIB) systems. In this paper, online model identification is scrutinized to realize high modeling accuracy and robustness, and a model-based joint estimator is fu...