摘要：Abstract In this contribution an energy management framework for hybrid electric vehicles (HEV) is presented. Particularly, the energy management strategy is extended by a trajectory planning level for the battery state of charge (SoC). For the design of the SoC reference trajectory generator the differential flatness property of the system is exploited to formulate a nonlinear static optimization problem. Its performance is evaluated in combination with the Equivalent Consumption Minimization Strategy (ECMS) which is a commonly applied technique for the fuel consumption optimization of hybrid electric vehicles. Therefore, we apply an adaptation law for the equivalence factor, relating electric energy to fuel consumption, which requires a SoC reference value as input. Compared to the case when ECMS assumes a constant SoC reference, the application of a time varying SoC reference, as introduced in this work, improves the overall performance of the energy management controller on the considered driving cycle.
关键词：KeywordsFlatnesshybrid electric vehicles (HEVs)predictive controlnonlinear programmingtrajectory planning
