In order to improve the thermal power dissipation of batteries and reduce the maximum temperature difference of batteries, the air conditioning system using battery type was optimized. Using multi-objective optimization method based on orthogonal experiment and multiple rotations, the local optimum values of multi-objective were obtained: the left end height A of entrance area and the height B of air outlet were 9 mm and 28 mm, respectively, with a tolerance value C of 0.4 mm for battery spacing. The simulation results of this optimization model show that the maximum temperature difference of the battery volume is 306.627 K (33.477°C) and 3.815 K (3.815°C), respectively. Compared with the initial model, they are reduced by 9.55% and 25.89%, respectively. Compared with the single factor analysis optimization model, they are reduced by 0.36% and 20.27%, respectively, indicating that the multi-objective optimization results are better. This multi-objective programming solves the problem of different parameters of air conditioning heat dissipation model to some extent, and can provide reference for the optimization design of other models.