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- W2743277989 abstract "Abstract This chapter deals with the research question of the amount of carbon reduction that is achievable by a societal switch from fossil fuel to sustainably charged electric automobiles. This presented work is focused on analysis of real operational data from the electric vehicle fleet both in proprietary data logging and reading and investigating the data coming from the vehicle's own electronic control unit. In this work, > 50 battery electric vehicle data have been monitored for four-year test period. The key characteristics of the electric vehicle operations, e.g. journeys, speeds, distances, routes, and vehicle energy consumption, have been investigated over the evaluation period. It has been noticed that driving cycle patterns have significant impact on vehicle's energy intensity. Also, different operational modes, e.g. acceleration, deceleration, cruise, ascent, and decent, have been evaluated and validated using real operational data for determining the regenerative braking efficiency of the electric vehicle fleet. This work has attempted to estimate vehicular driving patterns in the Edinburgh region and to offer an option of battery electric vehicles for sustainable mobility. For an efficient management system, the control systems of business BEV allocation booking will be analyzed. This is designed and implemented to ensure that the vehicles are fully utilized and that their use can be a “planned” event. This will be of great benefit as a vehicle management tool that, with bespoke design and execution, will ensure that the vehicles are suitable for the intended journey. This system will complement GPS tracking for complete fleet control." @default.
- W2743277989 created "2017-08-17" @default.
- W2743277989 creator A5035116343 @default.
- W2743277989 date "2017-01-01" @default.
- W2743277989 modified "2023-09-24" @default.
- W2743277989 title "Drive cycles for battery electric vehicles and their fleet management" @default.
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- W2743277989 doi "https://doi.org/10.1016/b978-0-12-803021-9.00013-6" @default.
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