Hybrid powertrain control using optimization and cycle based predictive control algorithms

In this paper a predictive control scheme for hybrid electric powertrains is introduced which makes use of cyclic operation such as in city buses or dockside cranes. The predictive controller is formulated as quadratic programming problem and based on cyclic operation of the vehicle. To take the nonlinearities of the electrical circuit into account a surrogate model is used. For the prediction of the future torque a wavelet approach is used for the optimization criterion. The effectiveness of the proposed method is shown by a simulation example. This approach can be easily adapted to a large family of hybrid powertrain configurations.