Multi-objective Optimization of Commercial Vehicle Power Cabins Based on Flow Field Modulation

doi:10.3969/j.issn.1004-132X.2022.02.014

Abstract

Abstract: Aiming at the problems of dust， heat dissipation， and poor driving thermal comfort in the power cabins of commercial vehicles， a power cabin flow field modulate optimization method was proposed based on CFD numerical simulation and superposition optimization. The simulation analyses of the flow field in the power cabins of the original commercial vehicles revealed that reducing the airflow resistance and increasing the air intake may improve the performance of the power cabins. The performance modulation optimization of the flow field of the power cabins were realized by the superimpose optimization design of the radiator， cooling fan， and air guide hood. The results show that after optimization， the intake air volume is increased by 70.9%， the cooling K-value is reduced to 49.5 ℃， the intake air temperature increment and the number of dust particles are reduced by 19.8 ℃ and 94.0% respectively compared with the original commercial vehicles. The performance of the power cabins is significantly improved. The optimized commercial vehicle test results are in good agreement with the simulation ones.

Key words: power cabin flow field, heat dissipation, dust, thermal comfort, modulate optimization

摘要： 针对某商用车动力舱的扬尘、散热及驾乘热舒适性差等问题，提出了基于CFD数值仿真+叠加优化的动力舱流场调控优化方法。对原车动力舱内流场进行仿真分析，指出减小气流阻力、增大进风量是改善动力舱性能的基础。对散热器、冷却风扇以及护风罩进行叠加优化以实现对动力舱流场性能调控优化，结果表明：优化后进风量增大70.9%，进风温升比原车降低了19.8 ℃，冷却K值降低至49.5 ℃，扬尘颗粒数相对原车降低94.0%，动力舱性能有明显改善。优化后的商用车实车测试结果与仿真结果吻合较好。

关键词: 动力舱流场, 散热, 扬尘, 热舒适性, 调控优化

CLC Number:

U469.7

TANG Rongjiang, ZUO Yingxiang, LI Shenfang, LU Zengjun, XU Enyong, BI Daokun. Multi-objective Optimization of Commercial Vehicle Power Cabins Based on Flow Field Modulation[J]. China Mechanical Engineering, 2022, 33(02): 234-242.

唐荣江, 左迎香, 李申芳, 陆增俊, 许恩永, 毕道坤. 基于流场调控的商用车动力舱多目标优化[J]. 中国机械工程, 2022, 33(02): 234-242.

References

［1］郭健忠，罗仁宏，王之丰，等. 商用车发动机舱热管理一维/三维联合仿真与试验［J］. 中国机械工程， 2016， 27（4）：526-530.
GUO Jianzhong， LUO Renhong， WANG Zhifeng， et al. Test and 1D/3D Co-simulation of Thermal Management for a Commercial Vehicle Engine Compartment［J］. China Mechanical Engineering， 2016， 27（4）：526-530.
［2］FRANZKE R， SVENSSON R， THIRINGER T， et al. Measurements and CFD Modeling of Temperatures in the Engine Compartment of a Hybrid Electric Vehicle［C］∥2017 IEEE Vehicle Power and Propulsion Conference（VPPC）. Belfort， 2017：1-5.
［3］唐荣江，张成，陆增俊，等. 重型载货汽车底部尘土污染仿真与抑制［J］. 汽车技术， 2017（11）：59-62.
TANG Rongjiang， ZHANG Cheng， LU Zengjun， et al. Simulation and Inhibition on Truck Bottom of Dust Pollution［J］. Automobile Technology， 2017（11）：59-62.
［4］谷正气，王振，张勇，等. 某轿车车身尘土污染数值仿真与控制［J］. 长安大学学报（自然科学版）， 2015， 35（5）：145-152.
GU Zhengqi， WANG Zhen， ZHANG Yong， et al， Carbody Dust Pollution and Controlling Based on Numerical Simulation［J］. Journal of Changan University（Natural Science Edition）， 2015， 35（5）：145-152.
［5］王梓宇，彭宇明，吴有彬，等. 发动机舱温度场耦合仿真方法研究［J］. 机械工程与技术， 2020， 9（2）：131-142.
WANG Ziyu， PENG Yuming， WU Youbin， et al. Research on the Coupling Simulation Method of Engine Room Temperature Field［J］. Mechanical Engineering and Technology， 2020， 9（2）：131-142.
［6］刘水长，李礼夫，张勇，等. 基于双场耦合的发动机舱内流场散热分析与结构改进［J］. 汽车工程， 2017， 39（8）：879-888.
LIU Shuichang， LI Lifu， ZHANG Yong， et al. Flow Field Heat Dissipation Analysis and Structural Modification of Engine Compartment Based on Velocity-temperature Field Coupling［J］. Automotive Engineering， 2017， 39（8）：879-888.
［7］王宏朝，单希壮，杨志刚. 基于矩阵风扇的车辆前端换热优化［J］. 西安交通大学学报， 2018， 52（1）：69-76.
WANG Hongchao， SHAN Xizhuang， YANG Zhigang. Heat Dissipation Optimization of Vehicle Front End Based on Matrix Fan［J］. Journal of Xian Jiaotong University， 2018， 52（1）：69-76.
［8］王东，陈嘉羲. 汽车下护板对发动机舱散热性能的影响［J］. 计算机辅助工程， 2018， 27（3）：21-25.
WABG Dong， CHEN Jiaxi， Influence of Bottom Panel on Engine Cabin Heat Dissipation Performance［J］. Computer Aided Engineering， 2018， 27（3）：21-25.
［9］张岳，熊锐，吴坚，等. 基于场协同原理的车用散热器内流场优化［J］. 汽车技术， 2019（9）：35-41.
ZHANG Yue， XIONG Rui， WU Jian， et al. Flow Field Optimization of Vehicle Radiator Based on Field Synergy Principle［J］. Automobile Technology， 2019（9）：35-41.
［10］EULALIE Y， GILOTTE P， MORTAZAVI I. Numerical Study of Flow Control Strategies for a Simplified Square Back Ground Vehicle［J］. Fluid Dynamics Research， 2017， 49（3）：035502.
［11］KUTHADA T， WITTMEIER F， BOCK B， et al. The Effects of Cooling Air on the Flow Field around a Vehicle［J］. SAE International Journal of Passenger Cars—Mechanical Systems， 2016-01-1603.
［12］ZHANG C， UDDIN M， ROBINSON A C， et al. Full Vehicle CFD Investigations on the Influence of Front-end Configuration on Radiator Performance and Cooling Drag［J］. Applied Thermal Engineering， 2018， 130：1328-1340.
［13］黄海波，余旭东，刘清国，等. 汽车车轮周围气流场的数值模拟研究［J］. 系统仿真学报， 2019， 31（4）：641-647.
HUANG Haibo， YU Xudong， LIU Qingguo， et al. Numerical Simulation for Airflow Field around Car Wheels［J］. Journal of System Simulation， 2019， 31（4）：641-647.
［14］朱晴，陈群，张艳芳，等. 某 SUV 车型发动机舱 CFD 仿真计算与优化［J］. 汽车技术， 2016（1）：1-5.
ZHU Qing， CHEN Qun， ZHANG Yanfang， et al. Underhood CFD Simulation and Optimization of a SUV［J］. Automobile Technology， 2016（1）：1-5.
［15］唐荣江，张淼，胡宾飞，等. 商用车车身底部尘土污染分析及优化［J］. 科学技术与工程， 2020， 20（14）：5622-5628.
TANG Rongjiang， ZHANG Miao， HU Binfei， et al. Analysis and Optimization of Dust Pollution at the Bottom of Commercial Vehicle Body［J］. Science Technology and Engineering， 2020， 20（14）：5622-5628
［16］梁永莉，田瑛泽，刘童，等. 基于颗粒物化学组分粒径分布特征的源解析方法构建与评估［J］. 环境科学， 2020， 41（1）：90-97.
LIANG Yongli， TIAN Yingze， LIU Tong， et al. Construction and Evaluation on Size Resolved Source Apportionment Methods Based on Particle Size Distribution of Chemical Species［J］. Environmental Science， 2020， 41（1）：90-97.
［17］丁鹏宇. 重型卡车冷却风扇参数对机舱流场特性的影响研究［D］. 长春：吉林大学， 2013.
DING Pengyu. Research on Influence of Coling Fan Parameters on Underhood Flow-field Characteristics for Heavy-duty Truck［D］. Changchun：Jilin University， 2013.
［18］WURM J， FITL M， GUMPESBERGER M， et al. Numerical and Experimental Investigation of Thermal Conditions Inside the Engine Compartment of Snowmobiles［J］. SAE International Journal of Commercial Vehicles， 2015-01-9017.
［19］SUN Q， CHOI K S， ZHAO Y， et al. Resistance of Velocity Slip Flow in Pipe/Channel with a Wudden Contraction［J］. Physics of Fluids， 2020， 32（6）：063602.

[1]	ZHANG Enzheng, TANG Ningmin, CHEN Gang, LIU Cuiping. Industrial Robot Calibration Based on Improved IGG3 Weight Function of Distance Error Model#br# [J]. China Mechanical Engineering, 2021, 32(13): 1539-1546.
[2]	GUO Lei, LIU Jianhua, ZHANG Jiapeng, LI Xiayu, ZHANG Xiumin, XIA Huanxiong. Research Status Analysis of Adhesively Connection Technology in Aerospace Industry#br# [J]. China Mechanical Engineering, 2021, 32(12): 1395-1405.
[3]	TANG Yong, SUN Yalong, GUO Zhijun, ZHANG Shiwei, YUAN Wei, TANG Heng, LIANG Fuye. Development Status and Perspective Trend of Motor Cooling Systems [J]. China Mechanical Engineering, 2021, 32(10): 1135-1150.
[4]	JI Yangzhen, HOU Li, LUO Lan, LUO Pei, LIU Xubin, LIANG Shuang. Solution of Inverse Kinematics for 6R Robots Based on Combinatorial Optimization Algorithm#br# [J]. China Mechanical Engineering, 2021, 32(10): 1222-1232.
[5]	LIU Qiang, . Development History and Future Trends of Numerical Control Machine Tools [J]. China Mechanical Engineering, 2021, 32(07): 757-770.
[6]	GONG Junshan;FANG Yuefa;JIN Xiaodong. Design and Research of Multifunctional Dexterous Hands Based on Parallel Finger Structure [J]. China Mechanical Engineering, 2020, 31(23): 2837-2846.
[7]	WU Jinhui1,2；TAO Yourui1,2. Review on Research Status of Positioning Accuracy Reliability of Industrial Robots [J]. China Mechanical Engineering, 2020, 31(18): 2180-2188.
[8]	YAO Haifeng1；LIU Wei2；ZHENG Xiaowen1；ZHANG Lansheng2；LIU Fuxin2；WU Miao1. Study on Posture Determination Method for Holes of Rock Drilling Robots with Improved Architecture [J]. China Mechanical Engineering, 2020, 31(18): 2254-2261，2267.
[9]	LI Minbo, XU Xinxing, LI Qiang, HAN Le. Multi-dimensional Analysis Method of Industrial Big Data Based on JSON Document Structure [J]. China Mechanical Engineering, 2020, 31(14): 1700-1707,1716.
[10]	CAO Huajun, LI Hongcheng, ZENG Dan, GE Weiwei. The State-of-art and Future Development Strategies of Green Manufacturing [J]. China Mechanical Engineering, 2020, 31(02): 135-144.
[11]	LIU Baicheng, . Innovation·Fundamentals·Intelligence—for Strong Manufacturing Industry [J]. China Mechanical Engineering, 2020, 31(01): 13-18.
[12]	LU Bingheng, . Additive Manufacturing—Current Situation and Future [J]. China Mechanical Engineering, 2020, 31(01): 19-23.
[13]	Jay LEE, Jaskaran SINGH, Moslem AZAMFAR, SUN Keyi. Industrial AI:A Systematic Framework for AI in Industrial Applications [J]. China Mechanical Engineering, 2020, 31(01): 37-48.
[14]	YIN Guotao1;ZHU Zhenghe2;GONG Hu1;LU Zhenfeng2;YONG Huashan2;LIU Lei3;HE Wei3. Flexible Punching System Using Industrial Robots for Automotive Panels [J]. China Mechanical Engineering, 2019, 30(04): 494-497,402.
[15]	ZHANG Wei, DING Jinfu, JI Yangjian, XIA Wenjun, LAN Hu, ZHANG Jianhui. Modular Design of Intelligent Service Based on Industrial Big Data [J]. China Mechanical Engineering, 2019, 30(02): 167-173,182.