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Research on Vehicle Frame Optimization Methods Based on the Combination of Size Optimization and Topology Optimization.

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Title: Research on Vehicle Frame Optimization Methods Based on the Combination of Size Optimization and Topology Optimization.
Authors: He, Qun, Li, Xinning, Mao, Wenjie, Yang, Xianhai, Wu, Hu
Source: World Electric Vehicle Journal; Mar2024, Vol. 15 Issue 3, p107, 26p
Subject Terms: Analytic hierarchy process, Optimization algorithms, Truck loading & unloading, Electric charge, Hybrid electric vehicles, Structural frames, Curves, Carbon emissions, Topology
Abstract: The efficient development of electric vehicles is essential to drive society towards sustainable development. Designing a lightweight frame is a key strategy to improve the economy and environment, increase energy efficiency, and reduce carbon emissions. Taking an automatic loading and unloading mixer truck as the research object, a force analysis of its frame was conducted under six typical working conditions. A size optimization method based on a hybrid model of the Kriging model and the analytic hierarchy process (AHP) is proposed. An approximate model of the mass and maximum stress of the frame was established using the Kriging model, and the Kriging model was optimized by using the multi-objective genetic optimization algorithm and the AHP method. Meanwhile, topology optimization was introduced to improve the structural performance of the frame and reduce its weight. The optimization results show that the overall weight of the frame is reduced by 11.96% compared to the pre-optimization period, though it still meets the material performance specifications. By comparing the iterative curves of the single Kriging model with those of the AHP model, it can be seen that the initial optimization efficiency of the hybrid model is about twice as much as that of the AHP model, and the final optimization result is improved by about 3.6% compared with the Kriging model. This validates the hybrid model as an effective tool for the multi-objective optimization of electric vehicle frames, providing more efficient and accurate optimization results for frame design. [ABSTRACT FROM AUTHOR]
Copyright of World Electric Vehicle Journal is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: Research on Vehicle Frame Optimization Methods Based on the Combination of Size Optimization and Topology Optimization.
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  Data: <searchLink fieldCode="AR" term="%22He%2C+Qun%22">He, Qun</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Xinning%22">Li, Xinning</searchLink><br /><searchLink fieldCode="AR" term="%22Mao%2C+Wenjie%22">Mao, Wenjie</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Xianhai%22">Yang, Xianhai</searchLink><br /><searchLink fieldCode="AR" term="%22Wu%2C+Hu%22">Wu, Hu</searchLink>
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  Data: World Electric Vehicle Journal; Mar2024, Vol. 15 Issue 3, p107, 26p
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  Data: <searchLink fieldCode="DE" term="%22Analytic+hierarchy+process%22">Analytic hierarchy process</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Truck+loading+%26+unloading%22">Truck loading & unloading</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+charge%22">Electric charge</searchLink><br /><searchLink fieldCode="DE" term="%22Hybrid+electric+vehicles%22">Hybrid electric vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+frames%22">Structural frames</searchLink><br /><searchLink fieldCode="DE" term="%22Curves%22">Curves</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+emissions%22">Carbon emissions</searchLink><br /><searchLink fieldCode="DE" term="%22Topology%22">Topology</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The efficient development of electric vehicles is essential to drive society towards sustainable development. Designing a lightweight frame is a key strategy to improve the economy and environment, increase energy efficiency, and reduce carbon emissions. Taking an automatic loading and unloading mixer truck as the research object, a force analysis of its frame was conducted under six typical working conditions. A size optimization method based on a hybrid model of the Kriging model and the analytic hierarchy process (AHP) is proposed. An approximate model of the mass and maximum stress of the frame was established using the Kriging model, and the Kriging model was optimized by using the multi-objective genetic optimization algorithm and the AHP method. Meanwhile, topology optimization was introduced to improve the structural performance of the frame and reduce its weight. The optimization results show that the overall weight of the frame is reduced by 11.96% compared to the pre-optimization period, though it still meets the material performance specifications. By comparing the iterative curves of the single Kriging model with those of the AHP model, it can be seen that the initial optimization efficiency of the hybrid model is about twice as much as that of the AHP model, and the final optimization result is improved by about 3.6% compared with the Kriging model. This validates the hybrid model as an effective tool for the multi-objective optimization of electric vehicle frames, providing more efficient and accurate optimization results for frame design. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of World Electric Vehicle Journal is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/wevj15030107
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 107
    Subjects:
      – SubjectFull: Analytic hierarchy process
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Truck loading & unloading
        Type: general
      – SubjectFull: Electric charge
        Type: general
      – SubjectFull: Hybrid electric vehicles
        Type: general
      – SubjectFull: Structural frames
        Type: general
      – SubjectFull: Curves
        Type: general
      – SubjectFull: Carbon emissions
        Type: general
      – SubjectFull: Topology
        Type: general
    Titles:
      – TitleFull: Research on Vehicle Frame Optimization Methods Based on the Combination of Size Optimization and Topology Optimization.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: He, Qun
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            NameFull: Li, Xinning
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            NameFull: Mao, Wenjie
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            NameFull: Yang, Xianhai
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            NameFull: Wu, Hu
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          Dates:
            – D: 01
              M: 03
              Text: Mar2024
              Type: published
              Y: 2024
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              Value: 15
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            – TitleFull: World Electric Vehicle Journal
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