Renewable energy penetration and distributed generation are key for the transition towards
more sustainable societies, but they impose a substantial challenge in terms of matching …

With the vehicle to infrastructure and vehicle to vehicle communication information, it is
beneficial to improve the fuel economy of hybrid electric vehicle by providing the driver with …

To date, a variety of Battery Energy Storage Systems (BESS) have been utilized in the EV
industry, with lithium-ion (Li-ion) batteries emerging as a dominant choice. Li-ion batteries …

The analysis of performance degradation in lithium-ion batteries plays a crucial role in
achieving accurate and efficient fault diagnosis as well as safety management. This paper …

The lithium-ion battery (LIB) has become the primary power source for new-energy electric
vehicles, and accurately predicting the state-of-health (SOH) of LIBs is of crucial significance …

This study develops an end-cloud collaboration method for estimating the State-of-Health
(SOH) of batteries. It fuses a cloud-based deep learning model for detailed analysis and an …

Computational techniques have been widely used to study and simulate various batteries'
characteristics. Such methods are preferred among the researchers to perceive the features …

锂离子电池以其高能量密度, 长寿命和绿色环保等优越特性, 已成为当今电动汽车, 电动船舶,
无人机以及电化学储能设备的主要能源承载体. 作为一种复杂的化学储能装置 …

This paper uses machine learning to predict either the voltage, current, or state of charge
(SOC) during a charging/discharging of a Li Ion cell. Due to the non-linear characteristics of …

This paper uses machine learning to predict either the voltage, current, or state of charge
(SOC) during a discharging of a Li-Ion cell. Due to the non-linear characteristics of a Li-Ion …