Aiming at multiple factors such as the diversity of power exchange station capacity, the differentiation in demand of electric vehicle users, and the power exchange cost of users, with the goal of minimizing the weighted sum of power exchange costs and driving costs of electric vehicle users, and comprehensively considering constraints such as power exchange station capacity and number, a game theory method is used to conduct mathematical modeling, design a scheduling solution algorithm with low complexity, and give the power exchange guidance results of each electric vehicle and visually display them.