The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …

Nowadays, several countries have adopted an energy transition policy to achieve carbon
targets and decarbonize transport while improving their electricity mixes. Electric vehicles …

The estimation of state of health (SOH) of a lithium-ion battery (LIB) is of great significance to
system safety and economic development. This paper proposes a SOH estimation method …

Electric vehicles (EVs) are experiencing a rise in popularity over the past few years as the
technology has matured and costs have declined, and support for clean transportation has …

Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …

Carbon impression and the growing reliance on fossil fuels are two unique concerns for
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …

Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …

Accurate state of health estimation for lithium-ion batteries is crucial to ensure the safety and
reliability of electric vehicles. This study presents an accurate state of health estimation …

摘要荷电状态(SOC) 的准确估计是电池管理系统的重要功能之一. 当前, 基于模型的方法是实现
锂离子电池SOC 估计最常用的解决方案. 相比于等效电路模型(ECM), 由于电化学模型(EM) …

It is often difficult for a machine learning model trained based on a small size of
charge/discharge cycling data to produce satisfactory accuracy in the capacity estimation of …