Generalised fuzzy-logic-based power management strategy for various hybrid electric vehicle powertrain architectures

A generalised fuzzy-logic-based power management strategy for various hybrid electric vehicle (HEV) powertrain architectures is presented in this paper. Various HEV powertrain architectures were developed and compared in terms of fuel consumption. For each HEV powertrain architecture, an individual power management controller needs to be designed to manage the power efficiencies of all hybrid components. In order to facilitate the design process for the power management controllers of various HEVs, a generalised fuzzy-logic-based power management strategy is proposed, which can be easily adapted between different architectures. Then this strategy is implemented in different HEV architectures and simulated in the speed profile driving cycles. The simulation results show that the generalised fuzzy-logic-based power management strategy works well with different HEV powertrain architectures in terms of satisfying the driver´s demand and improving the fuel efficiency.