为了分析混合动力比和电动机数量对小型串联结构通用混合动力飞机爬升性能的影响，以及爬升阶段不同性能参数的选择，根据混合动力飞机气动模型和串联结构系统模型，以混合动力比、爬升速度、爬升角、电动机数量、起飞质量作为优化变量，以爬升油量和额外有效载荷作为目标函数，建立混合动力飞机爬升性能优化模型，采用多目标粒子群算法进行优化求解。以小型串联结构通用混合动力飞机为例，得出性能参数并进行对比分析。结果表明：多目标粒子群算法对减少飞机爬升油量和增加额外有效载荷均有良好的优化效果。当混合动力比为0.99，爬升速度为51 m/s，爬升角为7°，电动机数量为1 ~ 4个，起飞质量为1 730 ~ 2 200 kg，爬升油量最小，额外有效载荷最大。

In order to analyze the influence of degree of hybridization and the number of electric motors on the climb performance of small series architecture universal hybrid-electric aircraft and the selection of different performance parameters in the climb stage, according to the aerodynamic model of the hybrid-electric aircraft and the system model of tandem structure, the degree of hybridization, the climb speed, the angle of climb, the number of electric motors and the take-off mass were taken as the optimization variables, and the amount of fuel for the climb and the extra payload were taken as the objective functions, and the optimization model of the climb performance of the hybrid-electric aircraft was established. Multi-objective particle swarm algorithm(MOPSO) was used for optimization solution. Taking the small series architecture universal hybrid-electric aircraft as an example, the performance parameters are derived and compared and analyzed. The optimization results show that the multi-objective particle swarm algorithm has a good optimization effect on reducing the amount of climb fuel and increasing the extra payload. When the degree of hybridization is 0.99, the climb speed is 51 m/s, the climb angle is 7°, the number of electric motors is 1 ~ 4, the take-off mass is between 1 730 ~ 2 200 kg, the climb fuel consumption is minimum and the extra payload is maximum.