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  • 1.
    Murgovski, N.
    et al.
    Chalmers University of Technology, Sweden.
    Grahn, M.
    Chalmers University of Technology, Sweden; Volvo Car Corporation, Sweden.
    Mård Johannesson, Lars
    RISE, Swedish ICT, Viktoria. Chalmers University of Technology, Sweden.
    McKelvey, T.
    Chalmers University of Technology, Sweden.
    Automated Engine Calibration of Hybrid Electric Vehicles2015In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 23, no 3, p. 1063-1074, article id 6924797Article in journal (Refereed)
    Abstract [en]

    We present a method for automated engine calibration, by optimizing engine management settings and power-split control of a hybrid electric vehicle (HEV). The problem, which concerns minimization of fuel consumption under a NOxconstraint, is formulated as an optimal control problem. By applying Pontryagin's maximum principle, this paper shows that the problem is separable in space. In the case where the limits of battery state of charge are not activated, we show that the optimization problem is also separable in time. The optimal solution is obtained by iteratively solving the power-split control problem using dynamic programming or the equivalent consumption minimization strategy. In addition, we present a computationally efficient suboptimal solution, which aims at reducing the number of power-split optimizations required. An example is provided concerning optimization of engine management settings and power-split control of a parallel HEV. 

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