• DocumentCode
    666820
  • Title

    A customized design framework for the model-based development of engine control systems

  • Author

    Hufner, Martin ; Sonntag, Christian ; Engell, Sebastian ; Grobosch, Sebastian

  • Author_Institution
    Process Dynamics & Oper. Group, Tech. Univ. Dortmund, Dortmund, Germany
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    6916
  • Lastpage
    6921
  • Abstract
    In the model-based design of complex technical systems, many design data artifacts are generated, such as models in different formalisms and design-related documents, which include specifications, test results, and design decisions. The consistent treatment and integration of these design artifacts is a challenge that is as of yet unsolved in industrial practice. This paper illustrates the industrial applicability of a software-based Design Framework (DF) [1] for the model-based design of an engine control system that was developed recently within the European research project MULTIFORM [2]. The goal of the Design Framework is to reduce the design effort, and thus the cost, while improving the quality of the designed system by consistently integrating the artifacts and tools that arise in model-based design processes. To ensure that design inconsistencies and errors are detected as early as possible (i.e. when it is relatively cheap to correct them), the framework provides structured data and model management as well as automated design consistency checking and design parameter propagation.
  • Keywords
    control system CAD; formal verification; internal combustion engines; European research project; MULTIFORM; automated design consistency checking; complex technical systems; cost reduction; customized design framework; design artifacts; design effort reduction; design error detection; design inconsistency detection; design parameter propagation; engine control systems; model management; model-based design; model-based development; software-based design framework; structured data; Analytical models; Biological system modeling; Data models; Documentation; Engines; Hardware; Software; Combustion engines; Design support; Model-based design; Tool integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6700279
  • Filename
    6700279