In summary, the optimization of the battery liquid cooling system based on NSGA-Ⅱ algorithm solves the heat dissipation inside the battery pack and improves the performance and life of the battery.
Discussion: The proposed liquid cooling structure design can effectively manage and disperse the heat generated by the battery. This method provides a new idea for the optimization of the energy efficiency of the hybrid power system. This paper provides a new way for the efficient thermal management of the automotive power battery.
The research outcomes indicated that the heat dissipation efficiency, reliability, and optimization speed of the liquid cooled heat dissipation structure optimization method for vehicle mounted energy storage batteries based on NSGA-II were 0.78, 0.76, 0.82, 0.86, and 0.79, respectively, which were higher than those of other methods.
The battery liquid cooling heat dissipation structure uses liquid, which carries away the heat generated by the battery through circulating flow, thereby achieving heat dissipation effect (Yi et al., 2022).
Bulut et al. conducted predictive research on the effect of battery liquid cooling structure on battery module temperature using an artificial neural network model. The research results indicated that the power consumption reduced by 22.4% through optimization. The relative error of the prediction results was less than 1% (Bulut et al., 2022).
Based on this, Wei et al. designed a variable-temperature liquid cooling to modify the temperature homogeneity of power battery module at high temperature conditions. Results revealed that the maximum temperature difference of battery pack is reduced by 36.1 % at the initial stage of discharge.