摘要：AbstractEnergy management of hybrid electric vehicles (HEVs) in the connected environment has attracted widespread attention. This article proposes a benchmark study on real-time two-layer hierarchical energy management framework for energy optimization of a connected power-split HEV. In the upper layer, Gaussian process (GP) is employed to predict the future velocity of the preceding vehicle, then the velocity predictor is combined with intelligent traffic information to plan an economical velocity trajectory of the ego vehicle. The lower layer incorporates the planned velocity over the receding horizon and applies the Pontryagin’s Maximum Principle (PMP) based power management strategy to split the torques of the HEV. The effectiveness of the proposed energy management framework is evaluated on a high-fidelity simulator considering traffic-in-the-loop simulation. The simulation result has proven this framework can achieve good fuel economy while guarantees the constraints regarding driving safety and travel time.
关键词：KeywordsConnected hybrid electric vehiclePower-split transmissionReal-time optimal energy managementGaussian process
