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Intelligent Infrastructure for Testing and Evaluation of Electric Vehicle Performance

Lookup NU author(s): Visalakshmi Suresh, Professor Phil Blythe, Dr Graeme Hill, Professor Eric Sampson


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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.

Publication metadata

Author(s): Suresh V, Blythe PT, Hill G, Sampson E

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2010

Pages: 9

Print publication date: 01/08/2010

Source Publication Date: August 2010

Report Number: 1217

Institution: School of Computing Science, University of Newcastle University

Place Published: Newcastle upon Tyne