Battery abnormality detection method, electronic device, storage medium and program product

The invention relates to a battery abnormity detection method, electronic equipment, a storage medium and a program product. The method comprises the steps that a target time sequence of a battery in a preset charging and discharging period is obtained, the target time sequence comprises a voltage difference time sequence, and voltage difference data in the voltage difference time sequence is the difference of the battery voltage at the corresponding moment relative to the battery voltage at the starting moment of the charging and discharging period; tensor information used for representing normal distribution of the voltage difference time sequence is determined, and whether the voltage waveform of the battery in the charging and discharging period is abnormal or not is determined according to the tensor information. Therefore, the input data can be mapped to a continuous potential space through the determination of the tensor information, whether the voltage waveform is abnormal or not can be preventively identified through the structured potential space, the dependence on the occurring failure event is reduced, and the accurate pre-judgment of the battery abnormality is realized.