Hydraulic hybrid vehicles can save fuel while maintaining performance due to the high power density of hydraulics. This paper investigates the best way to control a parallel hydraulic hybrid passenger vehicle to minimize fuel consumption while maintaining performance by using stochastic dynamic programming, A variety of drive cycles are used to form a Markov chain with velocity and acceleration as the states. A transition probability matrix is calculated to determine the probability of being in a future state given the current state. Using these statistics, stochastic dynamic programming develops a control law that can be implemented in real time without requiring exact knowledge of the drive cycle. The results show that stochastic dynamic programming increases fuel economy for two drive cycles.


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    Title :

    Power management strategy for a parallel hydraulic hybrid passenger vehicle using stochastic dynamic programming


    Additional title:

    Strategie für das Leistungsmanagement eines parallel hydraulisch/hybriden PKW mit stochastisch dynamischer Programmierung


    Contributors:


    Publication date :

    2010


    Size :

    12 Seiten, 6 Bilder, 2 Tabellen, 12 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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