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Modeling The Demand For Electric Vehicles In Canadian Corporate And Government Fleets, Shakil Khan
Modeling The Demand For Electric Vehicles In Canadian Corporate And Government Fleets, Shakil Khan
Electronic Theses and Dissertations
This dissertation investigates factors affecting the acquisition of Electric Vehicles (EVs) in the Canadian fleet market. Data from a random sample of over 1,000 fleet operating entities (FOEs) that owned and operated light fleets (i.e., cars, pickup trucks and utility vehicles) in Canadian cities were collected via an online survey titled Canadian Fleet Acquisition Survey (CFAS) in December 2016. The CFAS gathered information about the general characteristics of the surveyed FOEs, their existing fleet characteristics, future acquisition plans and EV fleet prospects. A stated preference (SP) section was introduced in the CFAS to identify the circumstances that will lead to …
Stochastic Planning For Active Distribution Networks Hosting Fast Charging Stations, Abdelrahman Amer
Stochastic Planning For Active Distribution Networks Hosting Fast Charging Stations, Abdelrahman Amer
Electronic Theses and Dissertations
With the advent of electric vehicles (EVs), charging infrastructure needs to become more available and electricity providers must build additional power generation capacity to support the grid. In siting and sizing of fast charging stations (FCSs), both the distribution network constraints, as well as the traffic network limitations, must be considered because FCSs exist on both levels. Moreover, the siting and sizing of wind-powered distributed generation (WPDG) is a solution to gradually decarbonizing the grid; therefore, reducing our carbon footprint. In addition to providing capacity, they also have other benefits in the distribution network such as reducing transmission losses. In …
Ev Battery State Changes & Rl Considerations, Muhammad Akram
Ev Battery State Changes & Rl Considerations, Muhammad Akram
Electronic Theses and Dissertations
Electric Vehicles are becoming trendy and proved to have no harmful exhaust like traditional fuel-powered vehicles which makes them one of the best solution to reduce greenhouse gas emissions. As the world shifts towards electric vehicle adoption, we will need efficient power sources to provide enough capacity for all these vehicles to function. Lithium-Ion batteries are the driving force behind this new trend. The goal of this research is to analyze the lifespan and long-term ratio composition of Lithium-Ion batteries in electric vehicles by developing two models, an Absorbing Markov Chain model, and a Markov Chain Steady-State Census model. A …