【摘要】 针对空间核动力热电转换系统发电效率无法满足深空探测任务的需求，结合布雷顿循环和有机朗肯循环的热电转换模式，制定了以N₂O作为顶部循环工质，利用底部有机朗肯循环对系统余热进一步回收。通过建立联合系统数理模型，研究了系统分流比、顶部循环涡轮进口压力和温度对系统热力学性能、比质量和经济性能的影响。基于非支配排序遗传算法对系统进行多目标优化来获得系统关键性能指标的帕累托解集。结果表明：与单独顶部循环相比，联合系统热效率提高了约7.77%。通过多目标优化找到多组帕累托解，为高效空间核动力系统设计和优化提供理论依据。更多还原

【Abstract】 Aiming at the problem of insufficient energy efficiency of space nuclear power supply in deep space exploration missions, combined with the Brayton cycle and organic Rankine cycle, N₂O was developed as the top cycle working medium, and the organic Rankine cycle（the bottom cycle） was used to further recover the waste heat of the system. By establishing a mathematical model of the combined system, the influences of the shunt ratio, inlet pressure and temperature of the top cycle turbine on the thermodynamic performance, specific mass and exergoeconomics performance of the system are studied. Genetic algorithm-based multiobjective optimization is used to obtain the Pareto solution for the key performance indicators. The results reveal that the thermal efficiency of the coupled system is increased by about 7.7% compared with the single top system. Finally, through the multiobjective optimization method, Pareto solutions can be found, which provides a theoretical basis for the high-efficiency space nuclear power system design and optimization.更多还原