Develo** advanced battery materials, monitoring and predicting the health status of
batteries, and effectively managing retired batteries are crucial for accelerating the closure of …

Numerical computation and repeated experiments are the main optimization methods used
in traditional battery thermal management systems (BTMs) to obtain a better structure by …

With the widespread application of energy storage systems, health monitoring of lithium-ion
batteries (LIBs) has become important. Transfer learning (TL) provides new ideas and …

Accurate estimation of the state of charge (SoC) in electric vehicle (EV) batteries is essential
for effective battery management and optimal performance. This study investigates the …

Capacity degradation modeling and remaining useful life (RUL) prediction play a pivotal role
in enhancing the safety of battery energy storage systems. Lithium-ion batteries utilized in …

The state of health (SOH) estimation of lithium-ion batteries is essential to ensure the safety
of electric vehicles. Electrochemical impedance spectroscopy (EIS) measurement can …

The accurate estimation of the state of health (SOH) of lithium-ion batteries is crucial for
enhancing the reliability and safety of battery systems. However, the current SOH estimation …

With the development of intelligentization and network connectivity of new energy vehicles,
the estimation of power lithium-ion battery state of charge (SOC) using artificial intelligence …

The surge in autonomous robotic applications across various sectors highlights the crucial
need for effective robot battery management to ensure robots perform their tasks …

Health status prediction of lithium-ion batteries is critical for the stable operation of electrical
equipment. The data-driven approach can fit the degradation laws based on the historical …