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Numerical Analysis of the National Travel Survey to Assess the Impact of UK Fleet Electrification

Accurately predicting the future power demand of electric vehicles is important for developing policy and industrial strategy. Here we propose a method to create a representative set of electricity demand profiles using survey data from conventional vehicles. This is achieved by developing a model which maps journey and vehicle parameters to an energy consumption, and applying it individually to the entire data set. As a case study the National Travel Survey was used to create a set of profiles representing an entirely electric UK fleet of vehicles. This allowed prediction of the required electricity demand and sizing of the necessary vehicle batteries. Also, by inferring location information from the data, the effectiveness of various charging strategies were assessed. These results will be useful in both National planning, and as the inputs to further research on the impact of electric vehicles.

Author(s):

Constance Crozier    
University of Oxford
United Kingdom

Dimitra Apostolopoulou    
University of Oxford
United Kingdom

Malcolm McCulloch    
University of Oxford
United Kingdom

 

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