Analysis on the Fault Features for Internal Short Circuit Detection Using an Electrochemical-Thermal Coupled Model

The potential of internal short circuit (ISC) increases due to the attempt to cram more active materials in a limited volume, when designing battery with higher energy density. Since the mechanism of ISC formation in lithium ion batteries is still unclear, it is essential to develop effective ISC detection algorithm. This paper provides an in-depth analysis on the fault features for ISC detection using a validated electrochemical-thermal coupled model. The modelling analysis unveils the fault features of ISC, and the difference of state-of-charge and the heat generation power are regarded as promising indicators for further development of fault diagnosis algorithms.