［Purposes］In view of the situation of cold chain logistics distribution of electric vehicles, fully considering the characteristics of electric vehicles and the charging needs of social charging piles, the cold chain electric vehicle routing problem with hard time window (EVPRHTW-CC) is studied. ［Methods］First, a planning model with the minimum distribution cost as the optimization goal is constructed. Then based on the ant colony algorithm, a kind of charging station optimization algorithm and local optimization strategy are designed to form a hybrid ant colony algorithm conversion problem. Finally, a set of examples of the hard time window cold chain electric vehicle routing problem are adapted and the performance of the ant colony algorithm and the hybrid algorithm is verified through experiments.［Findings］The improvement rate of the search solution reaches 11.82%. ［Conclusions］The results show that the hybrid ant colony algorithm with local optimization strategy can greatly improve the solution ability, the overall performance of the algorithm is greatly improved, and the solution is more stable.