• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (4): 135-144.doi: 10.3901/JME.2023.04.135

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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. 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

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

CLC Number: