Research on Optimization of Power Battery Adhesive Trajectories Based on Genetic Algorithm
Rapid heat dissipation of battery packs is crucial for battery safety.Currently,heat dissipation in battery packs is primarily achieved through thermal adhesive between the battery casing and modules,and the heat dissipation performance is closely related to the coverage of the thermal adhesive.However,the current methods to improve the coverage of the thermal adhesive mainly rely on fixture adjustments and empirically designed optimization of the adhesive trajectory,which are costly and not applicable to different types of battery pack structures.This paper proposes a method to enhance the heat dissipation performance of battery packs through adhesive trajectory optimization.By establishing an optimization model based on genetic algorithms for adhesive trajectory,optimized adhesive trajectories that improve the coverage of the thermal adhesive and reduce the amount of adhesive,thereby lowering material costs,are obtained.Simulation and experimental results demonstrate that the optimized adhesive trajectories achieve a coverage rate of 97％ and reduce the adhesive amount by 6％ compared to the original trajectories.The proposed method based on adhesive trajectory optimization can be applied to different types of battery pack structures,providing technical support for improving battery safety and reducing manufacturing costs.
NETL
NSTL
万方数据
