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This paper presents a trip-oriented Plug-in Hybrid Electric Vehicle (PHEV) energy management control (EMC) strategy that aims to improve the real world PHEV energy usage efficiency, economy and flexibility. The designed control architecture and methodologies enable the energy management control to utilize different levels of available trip foreknowledge, from as limited as distance between charges...
For a Plug-in Hybrid-Electric Vehicle (PHEV) a close to linear battery depletion profile is near optimal in terms of fuel economy, given that the driven Distance Until Charge (DUC) is known. However the intended driven distance until charge is not always known. We propose a pattern recognition method to predict the DUC based on the key-on time and day observations and the on-board stored data in vehicle...
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