In order to deal with the distribution orders with priority in logistics transportation, the vehicle routing optimization problem of mixed distribution of new energy vehicles and fuel vehicles were considered. The factors such as vehicle driving area, vehicle load, customer delivery time demand, and new energy vehicle charging constraints were considered, and an objective function was constructed to minimize the sum of carbon emission cost, freight cost and time window penalty cost. According to the characteristics of order priority distribution, a particle swarm optimization algorithm with priority strategy was designed to solve the problem. Based on the conditions, an adaptive example was used to verify the effectiveness of the algorithm for the Open multi-Vehicle vehicle routing problems considering order priority and time Windows.