This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …

Battery aging is one of the critical problems to be tackled in battery research, as it limits the
power and energy capacity during the battery's life. Therefore, optimizing the design of …

The amount of deployed battery energy storage systems (BESS) has been increasing
steadily in recent years. For newly commissioned systems, lithium-ion batteries have …

Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

In the backdrop of the carbon neutrality, lithium-ion batteries are being extensively employed
in electric vehicles (EVs) and energy storage stations (ESSs). Extremely harsh conditions …

Second life and recycling of retired automotive lithium-ion batteries (LIBs) have drawn
growing attention, as large volumes of LIBs will retire in the coming decade. Here, we …

Accurate capacity estimation is essential in the management of lithium-ion batteries, as it
guarantees the safety and dependability of battery-powered systems. However, direct …

The large-scale retirement of electric vehicle traction batteries poses a huge challenge to
environmental protection and resource recovery since the batteries are usually replaced …