Prognostics of Battery Health and Faults

Dear Colleagues,

Lithium-ion batteries have become one of the most promising energy storage devices due to fast charge capability, high densities, and long cycle life. However, a lithium-ion battery is a complex electrochemical system; therefore, its performance and life gradually deteriorate during use. Battery degradation is caused by many different aspects, including physical (e.g., thermal and mechanical stress) and chemical (e.g., side reactions) mechanisms. Due to the complexity of battery degradation, battery health prediction is an extremely challenging task. Moreover, the faults in the battery system can accelerate battery degradation. These faults can be generally divided into battery faults, sensor faults, and actuator faults. Various fault detection and isolation methods have been proposed, but fault prognosis is not fully understood. Both battery degradation and battery system faults can cause battery failure. As one of the most expensive and essential components in electrified transportation systems and smart grids, battery failures can cause safety issues. Certain severe failures, such as thermal runaway, can lead to fire or even explosion. Therefore, the development of accurate health and fault prognostic technologies is becoming increasingly critical for safe and efficient battery management.

For this Special Issue on “Prognostics of Battery Health and Faults”, we warmly welcome the submission of comprehensive reviews and original research articles.

Dr. Zhongwei Deng
Dr. Le Xu
Dr. Bo Jiang
Guest Editors

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