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This paper proposes an approach to characterize the plug-in hybrid electric vehicle (PHEV) behavior for assessing the impact of PHEVs on the grid based on naturalistic driving information. PHEV behavior is captured by response surfaces of the amount for electric energy consumption and the amount of fuel consumption at arrival with respect to the initial SOC and the driving distance. Response surfaces...
This paper analyzes plug-in hybrid electric vehicle (PHEV) behavior, its impact on the electric grid, and possible charging opportunities using representative synthetic cycles with the consideration of daily driving schedules. The representative naturalistic cycles are synthesized through a stochastic process utilizing transition probability matrices extracted from naturalistic driving data collected...
Driving cycles play an important role in analysis and design of hybrid propulsion systems. Their role is magnified in case of Plug-In Hybrids, since driving patterns have a strong impact on specific energy consumption, ability of the vehicle to provide pure electric operation, range of charge depleting operation, and finally assessments of the state-of-charge (SOC) at the beginning of charging. Certification...
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