The validation of automotive applications is often associated with high costs and time expenditures due to the complexity of these systems. We address the powertrain domain where testing, e.g., the engine controller is often an overwhelming undertaking due to the mandatory consideration of interactions between all sub-components (e.g., air-, fuel-, ignition-system). Following a model-based approach, we focus on the early-stage "in-the-Loop" environments, namely Model- (MiL) and Software-in-the-Loop (SiL). We encapsulate the engine controller into a Functional Mockup Unit (FMU) which implements the Functional Mock-up Interface (an open standard for simulation interoperability). The controller FMU is coupled together with an FMU of the engine representing the physical model to be controlled. The resulting system can therefore be subject to simulation and testing. In this paper, we demonstrate the benefits of test-automation to uncover inconsistencies in the requirements as well as design or implementation faults in every integration level of the development cycle. Moreover, due to the fact that test cases should be written in a systematic manner to minimize duplicate specifications, we present a comprehensive approach for testing and validating an engine controller (simulated together with an engine model) while ensuring a seamless transition with a test case re-use from MiL to SiL covering aspects from test case design to test case documentation.


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    Title :

    A Systematic Approach for Powertrain Validation


    Contributors:


    Publication date :

    2014


    Size :

    6 Seiten, Bilder, 8 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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