Abstract: With the popularization of electric vehicles and the development of intelligent power grids, studying the rational configuration and optimization coordination of multiple types of charging piles is of great significance for improving the efficiency of power grid operation. This article proposes a vehicle network collaborative optimization strategy that considers multiple types of charging stations. Firstly, research was conducted on three types of charging piles: Slow charging, fast charging, and super fast charging. Then, a two-step equivalent method was proposed to handle the scenario constraints caused by the mutual influence between different types of charging piles. Finally, by applying second-order cone relaxation technology, the vehicle network collaborative optimization model of multiple types of charging piles was transformed into a mixed integer second-order cone programming problem(MISOCP) for solving, thereby reducing the complexity of the model.