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.