In this study, Pontryagin's minimum principle (PMP) is applied to obtain the control law of plug-in hybrid vehicles. The results show that the minimization of the equivalent fuel consumption with a predefined weighting coefficient, which is a costate of PMP, is an effective way to obtain a control strategy that minimizes the overall energy. Dynamic programming yields results that are close to being global optimal. To realize the control algorithm solved by PMP, the authors introduce an adaptive concept that is based on driving patterns, and the authors conclude that an instantaneous optimal strategy with a properly selected costate is sufficiently simple for application to a real-time controller and is a desirable strategy that yields satisfactory results.


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    Title :

    Optimal control of a plug-in hybrid electric vehicle (PHEV) based on driving patterns


    Additional title:

    Optimalregelung eines Hybridfahrzeugs mit Netzanschluss (PHEV) auf Basis von Fahrmustern


    Contributors:
    Km, Namwook (author) / Lee, Daeheung (author) / Cha, Suk Won (author) / Peng, Huei (author)


    Publication date :

    2009


    Size :

    9 Seiten, 14 Bilder, 2 Tabellen, 15 Quellen


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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