An effective and efficient lithium-ion Battery Thermal Management System (BTMS) design can significantly improve the performance of the battery pack. However, it is difficult to achieve an effective design of BTMS as there are several parameters from multidisciplinary fields that are needed to be optimized simultaneously. Thus, to solve this multi-objective optimization problem, a new type of finned forced air-cooled BTMS is designed. An optimization design method based on the surrogate is then proposed. This method decomposes the BTMS optimization problem into three subproblems such as thermodynamic problem, fluid dynamics problem, and mechanical structure problem. The optimization goal is to minimize the average battery temperature, the standard deviation of battery temperature, and the pressure drop of the BTMS system. Besides, the lightweight design of the heat dissipation system structure is also discussed. Finally, the optimal design involving multiple conflicting objectives in BTMS is generated by Multi-objective Genetic Algorithm (MOGA). From set of solutions, an optimal solution is selected. The optimized BTMS find a balance between cooling efficiency, system volume and power consumption.

有效和高效的锂离子电池热管理系统（BTMS）设计可以显着提高电池组的性能。然而，由于需要同时优化来自多学科领域的多个参数，因此难以实现BTMS的有效设计。因此，为了解决这个多目标优化问题，设计了一种新型的翅片式强制风冷BTMS。提出了一种基于代理的优化设计方法。该方法将BTMS优化问题分解为三个子问题，例如热力学问题，流体动力学问题和机械结构问题。优化目标是最小化平均电池温度，电池温度的标准偏差和BTMS系统的压降。除了，还讨论了散热系统结构的轻量化设计。最后，通过多目标遗传算法（MOGA）生成了BTMS中涉及多个冲突目标的最优设计。从一组解决方案中，选择一个最佳解决方案。经过优化的BTMS在冷却效率，系统体积和功耗之间找到了平衡。