Abstract: With the growing demand for energy resources and rising environmental risks, the deployment of electric vehicles has been recognized as effective countermeasures to the global energy crisis and climate change. Lithium-ion batteries, thanks to their high efficiency, high energy/power density, and long lifespan, are widely used as critical energy storage devices for electric vehicles. Meanwhile, traction batteries play a deciduous role in the reliability, availability, maintainability, and safety of electric vehicles. Therefore, they should be meticulously designed and managed.

The development of advanced battery management systems has become the forefront of research worldwide. Upgraded modeling, estimation, control, and optimization of battery systems are researched in order to improve the battery performance while guaranteeing its safety. Interdisciplinary knowledge, including electrical engineering, control theory, electrochemistry, AI, and machine learning, needs to be integrated in an appropriate way to seek high-performance battery management.

Four articles have been collected in this feature topic with salient contributions to the field of battery management. The feature topic highlights the most recent advances in battery modeling, health and safety management. The four articles, as listed below, cover the topics of battery fault prognosis and diagnosis, data-driven modeling of the electrode, state of health estimation, and non-invasive characteristic analysis.