Internal Short Circuit Fault Diagnosis for Lithium-ion Battery Using a Novel Voltage Prediction Method

The internal short circuit (ISC) of lithium-ion battery seriously affects the safety of electric vehicles. The detection of ISC faults is crucial for the safe operation of batteries. This paper proposes a fault diagnosis method for ISC using a novel voltage prediction method based on correlation coefficient and a residual evaluation method based on cumulative sum test. The diagnosis of ISC faults is realized by evaluating the residuals between the predicted voltage and measured voltage. And the method only uses measured battery voltages as fault diagnosis signal and has practicability and feasibility. Different levels of ISC faults are emulated by connecting different resistors in parallel to a certain battery. Under Urban Dynamometer Driving Schedule test, the experimental results verify that ISC faults can be diagnosed promptly and accurately.