Adaptive Control Using Map-Based ECMS for a PHEV

A plug-in hybrid electric vehicle(PHEV) is a promising way of achieving the benefits of the electric vehicle without being limited by the electric range. This paper develops an adaptive control strategy based on a map-based ECMS approach. The control is developed and implemented in a simulator provided by IFP Energies nouvelles for the PHEV benchmark. The implemented control strives to be as blended as possible, whilst still ensuring that all electric energy is used in the driving mission. The controller is adaptive to reduce the importance of correct initial values but since the initial values affect the consumption a method is developed to estimate the optimal initial value for the controller based on driving cycle information. This is seen to work well for most driving cycles with promising consumption results. The controller also fulfills all requirements set by the PHEV Benchmark.