Machine learning-based fault diagnosis for lithium-ion battery systems
Transactions of the Institute of Measurement and Control
Published online on July 29, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
Accurate and reliable fault detection and isolation (FDI) in lithium-ion battery (LIB) systems is essential for ensuring safety, optimal performance, and lifespan, particularly as LIBs power critical applications such as electric vehicles and renewable ...
Accurate and reliable fault detection and isolation (FDI) in lithium-ion battery (LIB) systems is essential for ensuring safety, optimal performance, and lifespan, particularly as LIBs power critical applications such as electric vehicles and renewable ...