多目标智能算法的某轿车空调风道改进及乘员热舒适性优化  

Air duct improvement and occupant thermal comfort optimization of an automobile air conditioner with intelligent algorithm

作　　者：赖晨光[1] 李亮[1,2] 周毓婷 王玲霞[1] 张勇 LAI Chenguang;LI Liang;ZHOU Yuting;WANG Lingxia;ZHANG Yong(Key Laboratory of the Ministry of Education for Automobile Parts Manufacturing and Testing Technology, Chongqing University of Technology, Chongqing 400054, China;Chongqing Jialing ALL-Terrain Vehicle Co. , Ltd. , Chongqing 402760, China;School of Chemistry Engineering, Chongqing University of Technology, Chongqing 400054, China)

机构地区：[1]重庆理工大学汽车零部件制造及检测技术教育部重点实验室,重庆400054 [2]重庆嘉陵全域机动车辆有限公司,重庆404100 [3]重庆理工大学化学化工学院,重庆400054

出　　处：《重庆理工大学学报（自然科学）》2022年第4期19-27,共9页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金项目(51305477)。

摘　　要：轿车空调风道结构设计的好坏将直接影响着乘员热舒适性。为提高乘员热舒适性,采用CFD数值模拟与智能算法相结合,以太阳辐射下高速行驶的某轿车乘员舱为研究对象,选取空调出风口速度均匀系数、人体当量温度为优化目标,基于Kriging近似模型对空调风道结构进行多目标优化设计。同时,应用数据挖掘技术对优化变量与优化目标之间潜在的关系进行分析,并通过乘员舱热环境试验对仿真模型的准确性进行验证。研究结果表明:通过多目标优化算法优化后的空调出风口速度均匀系数提高7.5%,人体当量温度降低5.9%,乘员热舒适性得到明显改善。With the development of society, people’s lives are becoming more and more modern and rhythmic, and cars have become an indispensable means of transportation in people’s daily lives. Along with people driving cars for a longer time, the car has gradually evolved from a means of transportation to a “living space”. As the main driving area of the passenger compartment, the flow field characteristics of the compartment not only affects the evaluation of the thermal comfort of the car, but also brings security risks to the safety of driving. Therefore, it is very necessary to conduct accurate and in-depth research on the human thermal comfort and flow field in the passenger compartment.To improve the thermal comfort of the occupant compartment, previous researchers often optimize the power of the cold source air conditioner, the body insulation material and the form of the occupant compartment arrangement. This work requires a large amount of experimental and simulation data until the goal is achieved. However, the improvement and optimization of the relevant structures in this research work are manually adjusted manually, and experimental simulations are performed for each design, requiring detailed analysis of all design iterations. At the same time, the blindness and uncertainty of the human structure optimization often led to the long time period of the work and difficult to achieve results in a short period of time. Therefore, this study combines computational fluid dynamics with intelligent optimization algorithms to optimize the air ducts through which the cooling air flows, considering the existing on-board air conditioning power and the premise of not changing the interior layout in a floating manner, in order to reduce the blindness of the overall manual optimization design experience to design an effective air duct geometry.For this research, a coupled CFD solver and optimization tool are proposed based on the optimization software. The parameters are defined as the air conditioning duct geometry(o

关 键 词：热舒适性 Kriging近似模型 多目标优化 数据挖掘 

分 类 号：U463.83[机械工程—车辆工程]