With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …

Batteries are presently pervasive in portable electronics, electrified vehicles, and renewable
energy storage. These indispensable engineering applications are all safety-critical and …

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 …

There is an increasing demand for modern diagnostic systems for batteries under real-world
operation, specifically for the estimation of their state of health, for example, via their …

To ensure the driving safety and avoid potential failures for electric vehicles, evaluating the
health state of the battery properly is of significant importance. This study aims to serve as a …

State of health (SOH) is a key parameter to assess lithium-ion battery feasibility for
secondary usage applications. SOH estimation based on machine learning has attracted …

In order to provide an accurate and reliable effective state-of-health (SOH) estimation, a
novel hybrid data-driven estimation method by failure feature extraction is proposed. Firstly …

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 state of health for lithium battery is necessary to ensure the reliability and safety for
battery energy storage system. Accurate prediction battery state of health plays an extremely …

Accurate health estimation and lifetime prediction of lithium-ion batteries are crucial for
durable electric vehicles. Early detection of inadequate performance facilitates timely …