An energy management control strategy for a parallel hybrid electric vehicle based on the extremum-seeking method for splitting torque between the internal combustion engine and electric motor is proposed in this paper. An upper-level controller chooses vehicle operation mode such as regenerative braking, EM (electric motor) only, ICE (internal combustion engine) only, or ICE plus EM-charge modes. In the ICE plus EM-charge mode, optimum torque distribution between the ICE and the EM is determined via the ESA that searches for maximum drivetrain efficiency. In order to evaluate performance of the proposed algorithm, its results are compared with those of the DP solution, which is used as a benchmark of the minimum attainable fuel consumption values. The comparison of the DP results with the proposed algorithm shows that the two-level online control structure with drivetrain efficiency maximisation-based ESA manages to get substantial fuel consumption improvement, comparable with the DP solution. In HEV (hybrid electric vehicles) applications, a downsized ICE can be used since there is an additional power source which is the EM. When in a specific moment of the drive cycle the required power is beyond the downsized ICE limits, EM may assist to produce the required power. In this study, engine downsizing is not considered in the modelling of the hybrid powertrain. The ICE is considered same as the one used in the conventional vehicle model. Since the selected ICE is sufficient to drive the vehicle alone in high-power demands, motor assisting mode is not included for keeping the control structure as simple as possible. If the downsized engine had been used in this study, the fuel consumption improvement would have even been better because of the smaller and hence more efficient ICE in the hybrid powertrain. The main goal of the ESA algorithm given in this paper is to maximise the drivetrain efficiency and hence to improve fuel consumption. Emission improvement problem will also be studied in the future. The results in this paper have demonstrated that the ESA-based HEV control strategy presented here has significant potential for use in parallel HEV control with performance comparable with the optimal DP solution and poses a solid alternative to the existing methods.


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    Titel :

    A control strategy for parallel hybrid electric vehicles based on extremum seeking


    Weitere Titelangaben:

    Extremwertsuche-basierte Regelstrategie für ein Parallelhybrid-Elektrofahrzeug


    Beteiligte:

    Erschienen in:

    Vehicle System Dynamics ; 50 , 1-3 ; 199-227


    Erscheinungsdatum :

    2012


    Format / Umfang :

    29 Seiten, 32 Bilder, 1 Tabelle, 35 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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