摘要
针对高功率密度电动垂直起降飞行器(electric vertical take-off and landing,eVTOL)驱动系统在复杂运行工况下的散热问题,本文提出了一种基于粒子群算法的散热器优化设计方法,构建了热阻和质量的多目标优化模型,从而确定了散热器的最佳结构参数。通过ANSYS Fluent有限元热仿真和功率为120 kW的试验平台模拟电动垂直起降飞行器实际工况,仿真与试验结果表明,在不同工况下,驱动器内SiC模块的实测温度均在150℃以下,且功率密度达到20 kW/kg,验证了所提出的散热优化方法的可行性和有效性。
A heat sink optimization design method based on particle swarm optimization is proposed in this paper,to address the heat dissipation challenges in high-power-density electric vertical take-off and landing(eVTOL)aircraft drive system under complex operating conditions.Multi-objective model is built to optimize thermal resistance and mass,and optimal heat sink parameters are derived.Actual eVTOL operating conditions are simulated through ANSYS Fluent and 120 kW experimental platform.Both simulation and experimental results demonstrate that the temperature of SiC modules remain below 150℃under different conditions and the power density can reach 20 kW/kg,which validated the feasibility and effectiveness of the proposed heat dissipation optimization solution.
作者
胡文婧
郝振洋
景新元
HU Wenjing;HAO Zhenyang;JING Xinyuan(College of Automation Engineering,Nanjing University of Aeronautics&Astronautics,Nanjing 211106,China)
出处
《微特电机》
2026年第1期34-40,共7页
Small & Special Electrical Machines
关键词
eVTOL
高功率密度
粒子群算法
散热优化
electric vertical take-off and landing
high power density
particle swarm optimization
heat dissipation optimization
