A Review of Critical State Joint Estimation Methods of Lithium-Ion Batteries in Electric Vehicles
Junjian Hou, Tong Li, Fang Zhou, Dengfeng Zhao, Yudong Zhong, Lei Yao, Zeng Li
Abstract
Battery state of charge (SOC), state of health (SOH), and state of power (SOP) are decisive factors that influence the energy-management system (EMS) performance of electric vehicles. However, the accurate estimation of SOC, SOH, and SOP remains a challenge due to the high nonlinearity of the battery dynamic characteristics and the strong coupling among the states. In this paper, different methods of single-state and two-state joint estimation are classified and discussed, including SOC/SOH and SOC/SOP joint estimation methods, and their advantages and limitations are analyzed. On this basis, key issues of joint multi-state estimation are discussed, and suggestions for future work are made.