I. Introduction
Modern electronic equipment and electric vehicles are developing rapidly, and the demand for high energy density power sources such as rechargeable lithium-ion batteries is increasing gradually [1]. For electric vehicles, lithium-ion batteries are always equipped with a battery management system (BMS). BMS can effectively protect the battery, predict the battery life, and keep the battery under a good operating condition. Lithium-ion battery modeling is the fundamental part of an electric vehicle battery management system. It directly determines the accuracy of battery State of Charge (SOC) estimation and State of Health (SOH) monitoring, as well as the principle of the whole vehicle [2]. The battery working process is a complex dynamic system with strong nonlinearity. It is a complicated task to establish and control such a system. Therefore, it is imperative to find a simple mathematical model with satisfactory accuracy. Lithium battery models are divided into two categories according to modeling methods, namely equivalent circuit model and electrochemical model. The typical battery model of a battery management system (BMS) uses the equivalent circuit model (ECM). The equivalent circuit model (ECM) describes the external characteristic of the power cell with ideal electrical components (constant voltage source, capacitance, resistance, etc.) [3]. At some working conditions and environments, the equivalent circuit has acceptable accuracy and can describe the internal state and parameters of the battery [4]. However, the epitaxy of the equivalent circuit model is not strong, so it is challenging to meet the requirements of high precision, decay mechanism analysis, echelon utilization and maintenance of battery simulation.