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Application of multi architecture modelling method in intelligent electric–vehicle design.

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Title: Application of multi architecture modelling method in intelligent electric–vehicle design.
Authors: Ma, Junda1,2 (AUTHOR), Wang, Guoxin1 (AUTHOR), Lu, Jinzhi3 (AUTHOR) lujzhust@hotmail.com, Zheng, Xiaochen4 (AUTHOR), Yan, Yan1 (AUTHOR)
Source: International Journal of Production Research. Aug2025, Vol. 63 Issue 15, p5493-5511. 19p.
Subjects: Electric vehicles, Model-driven software architecture, Hybrid computer simulation, New product development
Abstract: With the improvement of automobile intelligence, the research and development of the system is becoming increasingly complex and the development of the overall life cycle of the automobile system is facing increasing challenges. In this study, we propose a model-based systems engineering (MBSE) method through the development of multiarchitecture modelling language in order to support complex product development process modelling starting from the mission. Meanwhile, index verification and hybrid automaton simulations are employed to realise the static cost analysis of an architecture scheme and the rationality analysis of behaviour properties during the development process. Finally, a case of intelligent electric vehicle in a dual-vehicle system is established. In addition, the development process of mission–operation–feature/function–logic–physical (MOFLP) architecture is modelled and verified using multiarchitecture modelling language. Our results demonstrate that the multiarchitecture modelling language can support the multistage architecture description of the life cycle of complex products and perform static and dynamic analysis during the architecture description process. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd 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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  Data: Application of multi architecture modelling method in intelligent electric–vehicle design.
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  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Junda%22">Ma, Junda</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Guoxin%22">Wang, Guoxin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Jinzhi%22">Lu, Jinzhi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> lujzhust@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Zheng%2C+Xiaochen%22">Zheng, Xiaochen</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Yan%22">Yan, Yan</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Aug2025, Vol. 63 Issue 15, p5493-5511. 19p.
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  Data: <searchLink fieldCode="DE" term="%22Electric+vehicles%22">Electric vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Model-driven+software+architecture%22">Model-driven software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Hybrid+computer+simulation%22">Hybrid computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22New+product+development%22">New product development</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the improvement of automobile intelligence, the research and development of the system is becoming increasingly complex and the development of the overall life cycle of the automobile system is facing increasing challenges. In this study, we propose a model-based systems engineering (MBSE) method through the development of multiarchitecture modelling language in order to support complex product development process modelling starting from the mission. Meanwhile, index verification and hybrid automaton simulations are employed to realise the static cost analysis of an architecture scheme and the rationality analysis of behaviour properties during the development process. Finally, a case of intelligent electric vehicle in a dual-vehicle system is established. In addition, the development process of mission–operation–feature/function–logic–physical (MOFLP) architecture is modelled and verified using multiarchitecture modelling language. Our results demonstrate that the multiarchitecture modelling language can support the multistage architecture description of the life cycle of complex products and perform static and dynamic analysis during the architecture description process. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd 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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      – Type: doi
        Value: 10.1080/00207543.2025.2453835
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 5493
    Subjects:
      – SubjectFull: Electric vehicles
        Type: general
      – SubjectFull: Model-driven software architecture
        Type: general
      – SubjectFull: Hybrid computer simulation
        Type: general
      – SubjectFull: New product development
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      – TitleFull: Application of multi architecture modelling method in intelligent electric–vehicle design.
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            NameFull: Ma, Junda
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            NameFull: Wang, Guoxin
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            NameFull: Lu, Jinzhi
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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