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Intelligent Infrastructure for Testing and Evaluation of Electric Vehicle Performance
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Professor Phil Blythe
Dr Graeme Hill
Professor Eric Sampson
Suresh V, Blythe PT, Hill G, Sampson E
School of Computing Science Technical Report Series
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This paper will present the remote data monitoring system being deployed to analyse electric vehicle energy efficiency, range and carbon emissions. An automated system to monitor the electric vehicle performance is being designed, implemented and evaluated. Data from the vehicle’s CAN bus, on board diagnostic ports, discreet sensors, battery monitoring systems and geographic positioning systems are integrated to build a full knowledge picture. The vehicle’s performance is assessed in terms of its energy regeneration and its drive efficiency with respect to altitude; the congestion state of the road and thereby the battery consumption is categorized for each individual journey. The system evaluation will illustrate the carbon emissions of a similar fossil fuelled vehicle through onboard simulation for concurrent journeys.
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