Based on the background of the current airport’s “oil to electricity”, the issue of future’s layout planning of airport charging piles was studied in this paper. The location model of charging piles was established with the objective of minimizing the management costs of charging piles, running costs of electric special vehicles on the road, and charging waiting costs. The information fusion mechanism was introduced on the basis of particle swarm optimization(PSO) to propose a differential evolution particle swarm optimization algorithm. It overcomes the defect that particle swarm optimization is apt to fall into local optimum and low precision, and increases the diversity and global optimization ability of the population. Finally, take the airport as example, the best plan of the site selection for the charging pile layout is confirmed, and the feasibility and effectiveness of the planning model and algorithm are proved.