Map-based linear estimation of drive cycle for hybrid electric vehicles
作者： Navid Haghdadi , Arash Zargham Nejad , Sara Deilami , Mohammad A.S. Masoum
DOI: 10.1109/AUPEC.2015.7324873
关键词:
摘要: Applications of hybrid electric vehicles (HEVs) and plug-in (PEVs) in modern power grids are increasing due to the growing concerns about environmental issues unpredictable fuel prices. However, detailed information on drivers' behaviors which is required for vehicle control management not widely available. This paper presents a map-based linear estimation approach estimate drive cycles (HEVs). It shown that knowing geological data vehicle, cycle possible. Detailed simulations presented investigate accuracy compared with real cycles. Simulation results analyzed estimations two typical including highway economy test (HWFET) New York City (NYCC).
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