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Please use this identifier to cite or link to this item: http://hdl.handle.net/1993/4296

Title: Statistical Development of a Duty Cycle for Plug-in Vehicles in a North American Urban Setting Using Fleet Information
Authors: Shahidinejad, Soheil
Bibeau, Eric
Filizadeh, Shaahin
Keywords: Battery storage
duty cycle
driving cycle
electric vehicle
plug-in hybrid vehicle
renewable energy
Issue Date: 2010
Citation: Shahidinejad, S., Bibeau, E., Filizadeh, S. (2010), Statistical Development of a Duty Cycle for Plug-in Vehicles in a North American Urban Setting Using Fleet Information, Vehicular Technology, IEEE Transactions on, 59(8):3710-3719.
Abstract: Development of a daily duty cycle based on real world driving behavior and parking times is a critical requirement in the optimal design of power-train components of a plug-in vehicle. Standard driving cycles cannot completely emulate the real-world power demand of a vehicle and its downtimes in particular. To address these shortcomings, a large database of one year of measured data collected from a fleet of 76 cars in the city of Winnipeg, MB, Canada is obtained and is then used to develop a new duty cycle. This paper describes a methodology for statistical analysis of the fleet data, including while a vehicle is parked. Due to the intrinsic differences in vehicle usage profiles during weekdays and weekends, two 24-h duty cycles with suitable windows of opportunity for charging are developed for weekday and weekend driving patterns. The uniqueness of the proposed statistical methodology and the resulting duty cycles contribute to addressing the present shortcomings of standard driving cycles.
URI: http://hdl.handle.net/1993/4296
oi:10.1109/TVT.2010.2061243
Appears in Collection(s):Research Publications

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