State of charge (SOC) and state of health (SOH) estimation play a vital role in battery
management systems (BMSs). Accurate and robust state estimation can prevent Li-ion …

As the intersection of disciplines deepens, the field of battery modeling is increasingly
employing various artificial intelligence (AI) approaches to improve the efficiency of battery …

Accurately estimating state of health (SOH) of the power battery, as the core component of
electric vehicles (EVs), is of great significance to the safety of EVs and the sustainable …

Data-driven methods for lithium-ion battery state-of-health (SoH) estimation gain attention for
their ability to avoid acquiring prior battery mechanism knowledge. However, most existing …

An accurate determination of the condition of a battery is a key challenge in operation. As
the performance of lithium-ion batteries is degrading over time, an accurate prediction of the …

The future of transportation is moving toward electric vehicles (EVs), driven by the global
demand for sustainability. At the core of EV technology is the Battery Management System …

The charging protocol design is a control problem between charge time and capacity
retention solved with numerous methods. However, the outcome is an optimal yet rigid …

Revolutionary and cost-effective state estimation techniques are crucial for advancing
lithium-ion battery technology, especially in mobile applications. Accurate prediction of …

The accurate assessment of battery health is crucial for maximizing the performance and
lifespan of lithium-ion batteries. In this paper, an ensemble model based on a two …

Data-driven models for battery state estimation require extensive experimental training data,
which may not be available or suitable for specific tasks like open-circuit voltage (OCV) …