Driven Performance of Electric Vehicles in Edinburgh and Its Environs

Milligan, Ross; Etxebarria, Saioa; Muneer, Tariq; Jadraque Gago, Eulalia

Abstract

Fuelled by energy security problems and urban air pollution challenges, several countries worldwide have set the objective to gradually eliminate petrol and diesel cars. The increasing support from government and demands for environmental friendly means of transportation are accelerating the use of battery electric vehicles. However, it is indispensable to have accurate and complete information about their behaviour in different traffic situations and road conditions. For the experimental analysis carried out in this study, three different electric vehicles from the Edinburgh College leasing program were equipped and tracked to obtain over 50 GPS and energy consumption data for short distance journeys in the Edinburgh area and long-range tests between Edinburgh and Bristol (UK). The results showed that the vehicles’ energy intensities were significantly affected by the driving cycle pattern, with a noticeable diminution due to low temperatures. It was found that the real available range of the electric vehicle in some situations could be 17% lower than the predicted mileage shown in the dashboard of the vehicle. The difference from the New European Driving Cycle (NEDC) values was even higher. The study has also provided a discussion on the effect of the electricity mix on carbon emission reduction.

Citation

Milligan, R., Etxebarria, S., Muneer, T., & Jadraque Gago, E. (2019). Driven Performance of Electric Vehicles in Edinburgh and Its Environs. Energies, 12(16), 3074. https://doi.org/10.3390/en12163074

• Journal Article Type: Article
• Acceptance Date: Aug 5, 2019
• Online Publication Date: Aug 9, 2019
• Publication Date: Aug 9, 2019
• Deposit Date: Sep 4, 2019
• Publicly Available Date: Sep 4, 2019
• Journal: Energies
• Electronic ISSN: 1996-1073
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 16
• Pages: 3074
• DOI: https://doi.org/10.3390/en12163074
• Keywords: General Computer Science
• Public URL: http://researchrepository.napier.ac.uk/Output/2111996