基于组合代理模型的变海拔工况车辆动力总成流动性能优化

doi:10.3901/JME.2023.04.135

机械工程学报 ›› 2023, Vol. 59 ›› Issue (4): 135-144.doi: 10.3901/JME.2023.04.135

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基于组合代理模型的变海拔工况车辆动力总成流动性能优化

李春明¹, 孙晓霞¹, 张涛¹, 舒成龙¹, 张帅², 宋学官²

1. 中国北方车辆研究所北京 100072;
2. 大连理工大学机械工程学院大连 116024

收稿日期:2022-07-26 修回日期:2023-01-01 出版日期:2023-02-20 发布日期:2023-04-24
通讯作者: 孙晓霞(通信作者),女,1983年出生,博士,研究员。主要研究方向为特种车辆热管理技术。E-mail:sun_xiaoxia1983@163.com
作者简介:李春明,男,1964年出生,博士,研究员。主要研究方向为特种车辆总体设计技术。E-mail:chunming@noveri.com.cn
基金资助:
国家自然科学基金资助项目(51705480，52102445)。

Optimization of Powertrain Mobility Performance of Vehicles with Variable Altitude Working Conditions by Ensemble of Surrogate Models

LI Chunming¹, SUN Xiaoxia¹, ZHANG Tao¹, SHU Chenglong¹, ZHANG Shuai², SONG Xueguan²

1. China North Vehicle Research Institute, Beijing 100072;
2. School of Mechanical Engineering, Dalian University of Technology, Dalian 116024

Received:2022-07-26 Revised:2023-01-01 Online:2023-02-20 Published:2023-04-24

摘要/Abstract

摘要： 随着海拔高度的增加，特种车辆的动力总成的流动性能会受到极大的影响。但是，受限于地域的影响，特种车辆动力总成流动性能的研究基本针对的是3 000 m以下的海拔工况，更高海拔环境的相关研究较少。因此，对更高海拔的特种车辆动力总成的流动性能进行研究十分重要。首先，建立流动结构的参数化仿真模型，揭示从海拔0 m (平原工况)到4 500 m(高原工况)特种车辆的动力总成流动特性变化规律。然后，为了提升特种车辆的变海拔适应性，基于组合代理模型对动力总成流动结构进行优化。结果表明，优化后的叶片扭曲度更大，且向着与旋转方向相反的方向偏移。优化后的叶轮使得上游总压分布更加均匀，叶片附近的低速区明显减少，叶片尾缘处的高总压和高马赫数的范围变大。在高原工况，特种车辆动力总成的流量增加7.7%，功率下降2.2%。在平原工况下，流量基本保持不变，功率下降12.03%。研究结果为高海拔车辆动力总成流动性能分析与优化设计提供借鉴与参考。

关键词: 变海拔工况, 组合代理模型, 动力总成, 流动性能分析, 参数化优化

Abstract: As the altitude increases, the powertrain mobility performance of special vehicles can be greatly affected. However, limited by the influence of the region, the research on the mobility performance of the powertrain of special vehicles is basically aimed at the altitude working condition below 3 000 m, and there are few related researches on the higher altitude environment. Therefore, it is very important to study the flow performance of special vehicle powertrains at higher altitudes. First, a simulation model of flow structure parameters is established to reveal the change rule of the powertrain flow characteristics of special vehicles from an altitude of 0m(plain condition) to 4 500 m(plateall condition). Then, in order to improve the variable altitude adaptability of special vehicles, the powertrain flow structure is optimized based on the ensemble of surrogate model. The results show that the optimized blades are more twisted and shifted in the opposite direction to the direction of rotation. The optimized impeller makes the upstream total pressure distribution more uniform, the low-speed zone near the blade is significantly reduced, and the range of high total pressure and high Mach number at the blade trailing edge becomes larger. In plateau conditions, the flow rate of the special vehicle powertrain increases by 7.7%, and the power decreases by 2.2%. In plain condition, the flow rate is nearily the same, and the power decreases by 12.03%. The study results provide a reference for the analysis and optimization design of the powertrain flow performance of high altitude vehicles.

Key words: variable altitude working condition, ensemble of surrogate models, powertrain, flow performance analysis, parametric optimization

中图分类号:

TG156

李春明, 孙晓霞, 张涛, 舒成龙, 张帅, 宋学官. 基于组合代理模型的变海拔工况车辆动力总成流动性能优化[J]. 机械工程学报, 2023, 59(4): 135-144.

LI Chunming, SUN Xiaoxia, ZHANG Tao, SHU Chenglong, ZHANG Shuai, SONG Xueguan. Optimization of Powertrain Mobility Performance of Vehicles with Variable Altitude Working Conditions by Ensemble of Surrogate Models[J]. Journal of Mechanical Engineering, 2023, 59(4): 135-144.

参考文献

[1] 李书奇,刘畅,胡力峰,等. 高原环境增压器离心压气机特性试验研究[J]. 机械工程学报,2016,52(20):151-158.
LI Shuqi,LIU Chang,HU Lifeng,et al. Experimental investigation on centrifugal compressor performance characteristics of plateau environment for vehicle turbocharger[J]. Journal of Mechanical Engineering,2016,52(20):151-158.
[2] 谭丕强,王德源,王成官,等. 高原环境下重型柴油机的性能优化研究[J]. 兵工学报,2018,39(3):436-443.
TAN Piqiang,WANG Deyuan,WANG Chengguan,et al. Performance optimization of heavy-duty diesel engine in plateau environment[J]. Acta Armamentarii,2018,39(3):436-443.
[3] 黄粉莲,雷基林,宋国富,等. 非道路涡轮增压柴油机高原适应性研究[J]. 内燃机工程,2020,41(4):46-53.
HUANG Fenlian,LEI Jilin,SONG Guofu,et al. Altitude adaptability of a turbocharged off-road diesel engines[J]. Chinese Internal Combustion Engine Engineering,2020,41(4):46-53.
[4] 沈颖刚,杨云春,吕誉,等. 增压方式对柴油机高原环境下工作特性影响的数值模拟[J]. 内燃机工程,2021,42(3):47-54.
SHEN Yinggang,YANG Yunchun,LÜ Yu,et al. Numerical simulation of the influence of turbocharging modes on working characteristics of diesel engine at plateau environment[J]. Chinese Internal Combustion Engine Engineering,2021,42(3):47-54.
[5] 李毅,李远才,刘景平. 高原车用散热器的传热计算[J]. 华中科技大学学报,2009 (9):90-93. LI Yi,LI Yuancai,LIU Jingping. Calculating transfer of radiators for plateau vehicles[J]. Journal of Huazhong University of Science and Technology,2009(9):90-93.
[6] 许翔,刘瑞林,刘刚,等. 大气压力对柴油机冷却系统热平衡影响的研究[J]. 汽车工程,2012(7):592-595. XU Xiang,LIU Ruilin,LIU Gang,et al. A research on the effect of atmospheric pressure on the thermal balance of cooling system in diesel engine[J]. Automotive Engineering,2012(7):592-595.
[7] 王宪成,郭猛超,程江华,等. 增压器压气机水冷蜗壳设计及其内部流场分析[J]. 内燃机工程,2014,35(4):109-113. WANG Xiancheng,GUO Mengchao,CHENG Jianghua,et al. Design of water-cooled snail shell of supercharger compressor and its internal flow field analysis[J]. Internal Combustion Engine Engineering,2014,35(4):109-113.
[8] 周兵,兰旭东,徐向华,等. 柴油发动机热管理系统的高度特性[J]. 航空动力学报,2016,(5):1097-1104. ZHOU Bing,LAN Xudong,XU Xianghua,et al. Altitude characteristics of the thermal management system of diesel engine[J]. Journal of Aerospace Power,2016,(5):1097-1104.
[9] 马宁,李若亭,赵文柱,等. 高原环境条件下的柴油机起动过程试验研究[J]. 兵工学报,2017,38(2):227-232. MA Ning,LI Ruoting,ZHAO Wenzhu,et al. An investigation on starting process experiment of diesel engine in altitude environmental[J]. Acta Armamentarii,2017,38(2):227-232.
[10] 黄绵敦,张付军,崔涛,等. 重载越野车辆高原起步响应性研究[J]. 兵工学报,2016,37(10):1915-1925. HUANG Miandun,ZHANG Fujun,CUI Tao,et al. Research on plateau starting responsiveness of heavy-duty off-road vehicles[J]. Acta Armamentarii,2016,37(10):1915-1925.
[11] QIAN J,YI J,CHENG Y,et al. A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem[J]. Engineering with Computers,2020,36(3):993-1009.
[12] HU Z,MAHADEVAN S. A surrogate modeling approach for reliability analysis of a multidisciplinary system with spatio-temporal output[J]. Structural and Multidisciplinary Optimization,2017,56(3):553-569.
[13] HARIRI-ARDEBILI M A. MCS-based response surface metamodels and optimal design of experiments for gravity dams[J]. Structure and Infrastructure Engineering,2018,14(12):1641-1663.
[14] CHATTERJEE T,CHAKRABORTY S,CHOWDHURY R. A critical review of surrogate assisted robust design optimization[J]. Archives of Computational Methods in Engineering,2019,26(1):245-274.
[15] BOUHLEL M A,MARTINS J R R A. Gradient-enhanced kriging for high-dimensional problems[J]. Engineering with Computers,2019,35(1):157-173.
[16] CHEN Z,PENG S,LI X,et al. An important boundary sampling method for reliability-based design optimization using kriging model[J]. Structural and Multidisciplinary Optimization,2015,52(1):55-70.
[17] JIANG P,ZHANG Y,ZHOU Q,et al. An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS[J]. Applied Intelligence,2018,48(6):1644-1656.
[18] CLARKE S M,GRIEBSCH J H,SIMPSON T W. Analysis of support vector regression for approximation of complex engineering analyses[J]. Journal of Mechanical Design,2005,127(6):1077-1087.
[19] JIANG C,CAI X,QIU H,et al. A two-stage support vector regression assisted sequential sampling approach for global metamodeling[J]. Structural and Multidisciplinary Optimization,2018,58(4):1657-1672.
[20] PRADO D R,LOPEZ-FERNANDEZ J A,ARREBOLA M,et al. On the use of the angle of incidence in support vector regression surrogate models for practical reflectarray design[J]. IEEE Transactions on Antennas and Propagation,2020,69(3):1787-1792.
[21] ASSARI P,DEHGHAN M. The numerical solution of two-dimensional logarithmic integral equations on normal domains using radial basis functions with polynomial precision[J]. Engineering with Computers,2017,33(4):853-870.
[22] LIU X,LIU X,ZHOU Z,et al. An efficient multi-objective optimization method based on the adaptive approximation model of the radial basis function[J]. Structural and Multidisciplinary Optimization,2021,63(3):1385-1403.
[23] URQUHART M,LJUNGSKOG E,SEBBEN S. Surrogate-based optimisation using adaptively scaled radial basis functions[J]. Applied Soft Computing,2020,88:106050.
[24] LYE K O,MISHRA S,RAY D,et al. Iterative surrogate model optimization (ISMO):An active learning algorithm for PDE constrained optimization with deep neural networks[J]. Computer Methods in Applied Mechanics and Engineering,2021,374:113575.
[25] CHENG K,LU Z. Structural reliability analysis based on ensemble learning of surrogate models[J]. Structural Safety,2020,83:101905.
[26] ZHAO Y,SUN C,ZENG J,et al. A surrogate-ensemble assisted expensive many-objective optimization[J]. Knowledge-Based Systems,2021,211:106520.
[27] FANG J,GAO Y,SUN G,et al. Fatigue optimization with combined ensembles of surrogate modeling for a truck cab[J]. Journal of Mechanical Science and Technology,2014,28(11):4641-4649.
[28] 潘锋. 组合近似模型方法研究及其在轿车车身轻量化设计的应用[D]. 上海:上海交通大学,2011.
PANG Feng. Ensemble of surrogate models for lightweight design of autobody structure[D]. Shanghai:Shanghai Jiao Tong University,2011.

基于组合代理模型的变海拔工况车辆动力总成流动性能优化

Optimization of Powertrain Mobility Performance of Vehicles with Variable Altitude Working Conditions by Ensemble of Surrogate Models

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