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This paper presents a driving pattern recognition method based on trip segment clustering. Driving patterns categorize various driving behaviors that contain certain energy demand property in common. It can be applied to various applications including intelligent transportation, emission estimation, passive/active safety controls and energy management controls. In this paper, pattern features are...
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...
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