Abstract
A model for the simulation of a parallel hybrid powertrain is proposed. The model is oriented to support the development of on-board energy flows control strategies to reduce both fuel consumption and emission levels and to improve electric driving range electric through optimal battery recharging cycles. The model has been developed in Matlab/Simulink environment with a modular structure. The adoption of a mixed modelling approach, based on different classes of models ranging from black-box Neural Network to grey-box mean-value dynamic models, allows a satisfactory accuracy with reasonable computational demand. Moreover, Fuzzy controllers have been implemented to simulate the Driver-Vehicle interaction, the torque management strategy (i.e. the splitting between electric motor and thermal engine) and the battery recharging strategy.
Since the main goal of the research is the optimal management of on-board energy flows, an optimization procedure is underdevelopment to design the most suitable controllers. In this paper, a detailed description of the whole model is presented and the simulation results carried out for a real driving cycle are reported.