To address the control strategy optimization issue of Electric Vehicles (EV), this paper designed distributed control system based on CAN network for EV, constructed a real time EV control model by Simulink and Stateflow. The model was converted to C code After simulating of the model had been conducted on PC, then the C code was downloaded to the rapid prototyping platform ControlBase_VT, and a model based prototyping controller for EV was developed. The prototype controller was mounted to a car, and vehicle control strategy is tested, analyzed and optimized. Using rich hardware resources of rapid prototyping platform and the conversion function from simulink model to executable C code, rapid development and optimization of control strategies is easy to be achieved, simple method is provided for the development, validation and optimization of control strategy, and development period and cost is reduced compared to self-built based hardware development.


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    Title :

    Control Strategy Design and Validation for EV Based on Rapid Prototyping Platform


    Contributors:
    Du, Chang-Qing (author) / Liu, Yong-Shan (author) / Yan, Fu-Wu (author) / Du, Gang (author)


    Publication date :

    2014


    Size :

    10 Seiten




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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