A hybrid electric vehicle (HEV) system model, which directly simulates vehicle drive cycles with interactions among driver, environment, vehicle hardware and vehicle controls, is a critical CAE tool used through out the product development process to project HEV fuel economy (FE) capabilities. The accuracy of the model is essential and directly influences the HEV hardware designs and technology decisions. This ultimately impacts HEV product content and cost. Therefore, improving HEV system model accuracy and establishing high-level model-test correlation are imperative.This paper presents a Parameter Diagram (P-Diagram) based model-test correlation framework which covers all areas contributing to potential model simulation vs. vehicle test differences. The paper describes each area in detail and the methods of characterizing the influences as well as the correlation metrics. The paper will also demonstrate how to use this framework as an ongoing test correlation process to continuously track and maintain high confidence of the HEV system model over the course of a given program.


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    Title :

    Test Correlation Framework for Hybrid Electric Vehicle System Model


    Additional title:

    Sae Int. J. Engines


    Contributors:
    Soto, Ciro (author) / Brigham, David (author) / Bell, Douglas (author) / Jennings, Mark (author) / Tsou, Poyu (author) / Meng, Yan (author)

    Conference:

    SAE 2011 World Congress & Exhibition ; 2011


    Published in:

    Publication date :

    2011-04-12


    Size :

    12 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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