Abstract
The limited driving range of electric vehicles (EV) is one of the biggest deployment challenges for electromobility. We use GPS driving data from a fleet of about 1,000 conventional private vehicles collected over two years to simulate energy consumption of electric cars. We estimate how much energy is required for EV charging at home and at a secondary parking location (e.g., at work) and to what extent energy from solar panels during sunlight hours can be used for charging.
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CITATION STYLE
Wenig, J., Sodenkamp, M., & Staake, T. (2015). Data-based assessment of plug-in electric vehicle driving. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9424, pp. 115–126). Springer Verlag. https://doi.org/10.1007/978-3-319-25876-8_10
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