Abstract Renewable power system using solar array is one of the most critical subsystems for stratospheric airships. It is important of thermal protection for the stratospheric airship, because excessive temperature of solar cell may reduce its conversion efficiency and age the envelope material underlaid solar cells. Multi-objective optimization of a thermal protection structure with heat dissipation and insulation layers for solar array of a stratospheric airship is performed in this paper. The optimization process is carried out by a Nondominated Sorting Genetic Algorithm to decrease the sensitivity toward weights or demand levels. The specific temperature difference, which indicates the ratio of temperature reduction and structure density, and the output power of solar array are used to present the optimization aims. Three geometric variables related to the number of fins, width ratio of fins and thickness ratio of dissipation and insulation layer are selected as the design variables. Pareto optimal fronts representing the trade-offs between the performance parameters are obtained at last and optimization results are compared with previous studies and the thermal protection effects and output power of the solar array are both more excellent. Furthermore, the simulation of the thermal protection structure with optimization parameters are carried out at last.

中文翻译：

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平流层飞艇太阳能电池阵热防护结构优化设计

摘要 利用太阳能电池板的可再生能源系统是平流层飞艇最关键的子系统之一。对于平流层飞艇来说，热保护很重要，因为太阳能电池温度过高会降低其转换效率，并使太阳能电池下面的外壳材料老化。本文对平流层飞艇太阳能电池阵的带散热和绝缘层的热防护结构进行了多目标优化。优化过程由非支配排序遗传算法执行，以降低对权重或需求水平的敏感性。比温差，表明温度降低和结构密度的比率，以及太阳能电池阵列的输出功率被用来表示优化目标。选择与翅片数量、翅片宽度比和散热与绝缘层厚度比相关的三个几何变量作为设计变量。最后得到了代表性能参数之间权衡的帕累托最优前沿，并将优化结果与前人的研究进行比较，太阳能电池阵列的热保护效果和输出功率都更加出色。此外，最后对热保护结构进行了优化参数的仿真。最后得到了代表性能参数之间权衡的帕累托最优前沿，并将优化结果与前人的研究进行比较，太阳能电池阵列的热保护效果和输出功率都更加出色。此外，最后对热保护结构进行了优化参数的仿真。最后得到了代表性能参数之间权衡的帕累托最优前沿，并将优化结果与前人的研究进行比较，太阳能电池阵列的热保护效果和输出功率都更加出色。此外，最后对热保护结构进行了优化参数的仿真。