The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …

Lithium-ion batteries are widely used as effective energy storage and have become the main
component of power supply systems. Accurate battery state prediction is key to ensuring …

To cope with the new transportation challenges and to ensure the safety and durability of
electric vehicles and hybrid electric vehicles, high performance and reliable battery health …

In this paper, the characteristics analysis results of lithium-ion battery show that the essence
of the inconsistency of lithium-ion battery is State-Of-Charge (SOC) inconsistency. Therefore …

Accurate battery modelling is the cornerstone to state of charge (SOC) and state of power
(SOP) co-estimation of lithium-ion batteries in electric vehicles. Due to strong battery …

With rapid transportation electrification worldwide, lithium-ion batteries have gained much
attention for energy storage in electric vehicles (EVs). State of power (SOP) is one of the key …

Battery charging operation limits can be considered systematically in the optimal
constrained control framework of model predictive control (MPC). Hence, MPC-based …

The hybrid battery thermal management system (BTMS), the combination of an active
thermal management system (TMS) and a passive TMS based on phase change material …

This paper proposes a novel data-model fusion method (DMFM) for online state of power
(SOP) estimation of lithium-ion batteries at high discharge rates in electric vehicles. First …

Lithium‐ion battery state‐of‐health (SOH) estimation and remaining usable life (RUL)
prediction are important for battery prognosis and health management. In this article, a …