Early Fault Diagnosis of Power Battery for Real Working Conditions
In order to ensure the safety of power battery use,an early fault diagnosis method for power battery is proposed for actual working conditions,which can accurately locate the moment of early battery fault occurrence.Simulation modeling of lithium battery pack based on MATLAB to study the battery failure evolution characteris-tics.The battery state information in the battery module is used as the training object of the model to simulate the battery state when the battery is in normal operation,and the moment of state change can be located when the bat-tery fails.In order to further locate the moment of failure accurately,the residual curve of battery estimation is dif-ferentiated to locate the moment of failure in the shortest time frame.This method can not only locate the fault ac-curately under the simulated fault conditions,but also identify the battery fault in the actual operating data with more severe data conditions.
real working conditionspower batteryearly battery failureBP neural network
NETL
NSTL
万方数据
维普
