The advancements in intelligent control have facilitated the implementation of increasingly sophisticated control algorithms in managing the energy of electric vehicles. Among them, particle swarm optimization algorithm is increasingly receiving attention from researchers due to its advantages in speed and accuracy. It starts from any solution and searches for the optimal solution of the target through multiple iterations. The quality of the search results is evaluated using a specific function. Therefore, this article proposes a dual motor dual axis drive electric vehicle driving torque allocation strategy based on the Inertial Weight Linear Decreasing Particle Swarm Optimization (IWLDPSO) algorithm.