Thermal characteristics analysis of stratospheric airship is pivotal in airship design. Many factors can affect the thermal performance. Though the separate influence of each factor was examined in detail by single factor analysis, the multi-parameter sensitivity analysis is still a terra incognita. Here, ten factors were selected to analyze the multi-parameter sensitivity based on the heat transfer process analysis of stratospheric airship and the simplification of thermal equilibrium equations. The orthogonal test design method was used to build the prediction model. In addition, response surface methodology based on the binomial equations was employed as a numerical solver for the fitting equations of the influencing factors. The solutions obtained satisfied the requirements and the relative error of optimal point was 1.7%. The results show that: (1) Among ten parameters, the photovoltaic cells conversion efficiency is an insensitive parameter. (2) An optimum combination scheme is the envelope emissivity of 0.9, envelope absorptivity of 0.1, photovoltaic cells emissivity of 0.9, photovoltaic cells absorptivity of 0.5, photovoltaic cells equivalent thermal resistance of 0.8 m² K/W. And the helium temperature difference in this condition is 17.404 K. (3) Considering the real situation, five alternatives are recommended according to their performance close to the optimal results.

平流层飞艇的热特性分析在飞艇设计中至关重要。许多因素都会影响热性能。尽管通过单因素分析详细研究了每个因素的单独影响，但是多参数敏感性分析仍然是一个未知数。在此，基于平流层飞艇的传热过程分析和热平衡方程的简化，选择了十个因素来分析多参数灵敏度。采用正交试验设计方法建立预测模型。此外，基于二项式方程的响应面方法被用作影响因素拟合方程的数值求解器。得到的解满足要求，最优点的相对误差为1.7％。结果表明：（1）在十个参数中，光伏电池的转换效率是一个不敏感的参数。（2）最佳组合方案是包络线发射率0.9，包络线吸收率0.1，光伏电池发射率0.9，光伏电池吸收率0.5，光伏电池等效热阻0.8 m²  K / W。在此条件下，氦温差为17.404K。（3）考虑到实际情况，根据其性能接近最佳结果，推荐了五个替代方案。