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An object-oriented modelling method for evolving the hybrid vehicle design space in a systems engineering environment

机译:一种面向对象的建模方法,用于在系统工程环境中发展混合动力车辆设计空间

摘要

A combination of environmental awareness, consumer demands and pressure from legislators has led automotive manufacturers to seek for more environmentally friendly alternatives while still meeting the quality, performance and price demands of their customers. This has led to many complex powertrain designs being developed in order to produce vehicles with reduced carbon emissions. In particular, within the last decade most of the major automotive manufactures have either developed or announced plans to develop one or more hybrid vehicle models. This means that to be competitive and o er the best HEV solutions to customers, manufacturers have to assess a multitude of complex design choices in the most e cient way possible. Even though the automotive industry is adept at dealing with the many complexities of modern vehicle development; the magnitude of design choices, the cross coupling of multiple domains, the evolving technologies and the relative lack of experience with respect to conventional vehicle development compounds the complexities within the HEV design space. In order to meet the needs of e cient and exible HEV powertrain modelling within this design space, a parallel is drawn with the development of complex software systems. This parallel is both from a programmatic viewpoint where object-oriented techniques can be used for physical model development with new equation oriented modelling environments, and from a systems methodology perspective where the development approach encourages incremental development in order to minimize risk. This Thesis proposes a modelling method that makes use of these new tools to apply OOM principles to the design and development of HEV powertrain models. Furthermore, it is argued that together with an appropriate systems engineering approach within which the model development activities will occur, the proposed method can provide a more exible and manageable manner of exploring the HEV design space.The exibility of the modelling method is shown by means of two separate case studies, where a hierarchical library of extendable and replaceable models is developed in order to model the di erent powertrains. Ultimately the proposed method leads to an intuitive manner of developing a complex system model through abstraction and incremental development of the abstracted subsystems. Having said this, the correct management of such an e ort within the automotive industry is key for ensuring the reusability of models through enforced procedures for structuring, maintaining, controlling, documenting and protecting the model development. Further, in order to integrate the new methodology into the existing systems and practices it is imperative to develop an e cient means of sharing information between all stakeholders involved. In this respect it is proposed that together with an overall systems modelling activity for tracking stakeholder involvement and providing a central point for sharing data, CAE methods can be employed in order to automate the integration of data.
机译:环保意识,消费者需求和立法者的压力相结合,促使汽车制造商寻求更环保的替代方案,同时仍能满足客户的质量,性能和价格要求。这导致开发了许多复杂的动力总成设计,以生产碳排放量减少的车辆。特别是在过去十年中,大多数主要汽车制造商已经制定或宣布了计划开发一种或多种混合动力汽车模型的计划。这意味着,为了具有竞争力并为客户提供最佳的HEV解决方案,制造商必须以最有效的方式评估众多复杂的设计选择。尽管汽车行业擅长应对现代汽车开发的许多复杂问题;设计选择的规模,多个领域的交叉耦合,不断发展的技术以及相对于传统车辆开发的相对缺乏经验,增加了混合动力汽车设计空间内的复杂性。为了在此设计空间内满足有效且可行的HEV动力总成建模的需求,与复杂软件系统的开发相提并论。这种并行性既可以从程序化的观点出发,在面向对象的技术可以用于具有新的面向方程式的建模环境的物理模型开发中,也可以从系统方法论的角度出发,开发方法鼓励增量开发以最小化风险。本文提出了一种建模方法,该方法利用这些新工具将OOM原理应用于HEV动力总成模型的设计和开发。此外,有人认为,与适当的系统工程方法一起进行模型开发活动,所提出的方法可以为探索混合动力汽车的设计空间提供一种更加灵活和可管理的方式。在两个单独的案例研究中,开发了可扩展和可替换模型的分层库,以便对不同的动力总成进行建模。最终,所提出的方法导致了通过抽象和子系统的增量开发来开发复杂系统模型的直观方式。话虽如此,在汽车行业中对此类技术的正确管理对于通过结构化,维护,控制,记录和保护模型开发的强制性程序确保模型的可重用性至关重要。此外,为了将新方法集成到现有系统和实践中,必须开发一种在所有涉众之间共享信息的有效手段。在这方面,建议将CAE方法与用于跟踪利益相关者参与并提供共享数据中心的整个系统建模活动一起使用,以使数据集成自动化。

著录项

  • 作者

    Marco J; Poeti Leonardo;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
  • 中图分类

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