An Adaptive Power Flow Control Strategy of a Parallel Plug-in Hybrid Electric Vehicle

The paper deals with design of an adaptive power flow control strategy for a plug-in hybrid electric vehicle, given in P2 parallel configuration with an automated manual transmission. The strategy combines a rule base controller (RB) with an equivalent consumption minimization strategy (ECMS), whose parameters are adapted with respect to driving cycle features identified on a moving past horizon. The adaptation law is derived from dynamic programming (DP)-based optimal results, which are gained by using a computationally efficient backward-looking PHEV model that considers powertrain transient losses. Simulation results obtained for the backward looking model, as well as for a more accurate forward-looking model, demonstrate that the adaptive control strategy reduces the fuel consumption when compared to the original, non-adaptive strategy.