Abstract
An online eco-driving strategy (EDS) for a plug-in hybrid electric bus (PHEB) is proposed focusing on fuel economy improvement. This EDS achieves the optimization objective via adjusting demand power within acceptable boundaries based on the driver behavior and the vehicle state. Two procedures are included in the EDS namely offline optimization and online implementation. First, dynamic programming (DP) is applied to optimize power profile using global optimization state of charge (SOC) profile as a benchmark to simplify three dimensions DP, therefore reducing the heavy computational duty caused by the structure characteristics of PHEB. Then neural network with four input variables of accelerator pedal position, vehicle velocity, battery SOC, vehicle acceleration and one output variable of power adjustment value produces an online control strategy based on offline optimization results. Simulation using untrained driving cycle data indicates 2.72\% fuel consumption reduction compared to the strategy without eco- driving.
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