The recent increase in oil prices and environmental concerns have attracted various research efforts on hybrid electric vehicles (HEVs) which provide promising alternatives to conventional engine-powered vehicles with better fuel economy and fewer emissions. To speed up the design and prototyping processes of new HEVs, a method that automatically generates mathematics equations governing the vehicle system response in an optimized symbolic form is desirable. A high fidelity power-split HEV has been developed and simulated. This was accomplished using MapleSim utilizing symbolic operations from a general purpose algebra software package to develop and optimize the system equations. The model contains a set of DAEs across multiple domains, namely mechanical, electrical, chemical, and hydraulic domains. The MapleSim model simulates several times faster than real time on an Intel 2.4GHz double-core processor, thanks to the highly efficient battery model and high performance, highfidelity simulations that the symbolic technology behind MapleSim provides. With MapleSim, high-fidelity battery models can be simulated at speeds that allow real-time simulation for hardware-in-the-loop testing. The flexibility of componentbased modeling within MapleSim combined with the symbolic capabilities of Maple allows the development of highly accurate and customizable battery models. These new battery models can then be incorporated into larger models of electric vehicle systems, helping automobile manufactures develop higher performance electric cars while reducing development costs.


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    Title :

    Symbolic techniques for model-based design of hybrid electric vehicles


    Contributors:


    Publication date :

    2012


    Size :

    10 Seiten, 14 Bilder, 32 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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