Battery pack system fatigue analysis method based on convolutional neural network

The invention provides a battery pack system fatigue analysis method based on a convolutional neural network. The method comprises the following steps that acceleration sensor installation and acceleration load spectrum collection are carried out on a physical sample vehicle; constructing a finite element model of the battery pack system and a rigid-flexible coupling multi-body dynamic model of the battery pack system; training a convolutional neural network model and reversely solving a load boundary condition of the battery pack system; and performing fatigue endurance life simulation analysis on the finite element model of the battery pack system based on the load of the battery pack system. By adopting the analysis method provided by the invention, the problems of long period and low efficiency of load boundary solving based on a virtual iteration method can be solved, so that load boundary solving and fatigue analysis of the battery pack system can be performed more efficiently and more accurately, and t