The power management control system development and vehicle test results for a medium-duty hybrid electric truck are reported in this paper. The design procedure adopted is a model-based approach, and is based on the dynamic programming technique. A vehicle model is first developed, and the optimal control actions to maximize fuel economy are then obtained by the dynamic programming method. A near-optimal control strategy is subsequently extracted and implemented using a rapid-prototyping control development system, which provides a convenient environment to adjust the control algorithms and accommodate various I/O configurations. Dynamometer-testing results confirm that the proposed algorithm helps the prototype hybrid truck to achieve a 45% fuel economy improvement on the benchmark (non-hybrid) vehicle. It also compares favorably to a conventional rule-based control method, which only achieves a 31% fuel economy improvement on the same hybrid vehicle.


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    Title :

    Control System Development for an Advanced-Technology Medium-Duty Hybrid Electric Truck


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    International Truck & Bus Meeting & Exhibition ; 2003



    Publication date :

    2003-11-10




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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