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Data-based Assessment of Plug-in Electric Vehicle Driving
Wenig, Jürgen; Sodenkamp, Mariya; Staake, Thorsten (2015): Data-based Assessment of Plug-in Electric Vehicle Driving, in: Sebastian Gottwalt, Lukas König, und Hartmut Schmeck (Hrsg.), Energy Informatics : 4th D-A-CH Conference, EI 2015, Karlsruhe, Germany, November 12-13, 2015, Proceedings, 1. Auflage Cham: Springer International Publishing, S. 115–126, doi: 10.1007/978-3-319-25876-8.
Faculty/Chair:
Author:
Title of the compilation:
Energy Informatics : 4th D-A-CH Conference, EI 2015, Karlsruhe, Germany, November 12-13, 2015, Proceedings
Corporate Body:
4th D-A-CH Conference, EI 2015, Karlsruhe, Germany, November 12-13, 2015
Publisher Information:
Year of publication:
2015
Pages:
Edition:
1
ISBN:
978-3-319-25875-1
Series ; Volume:
Lecture Notes in Computer Science ; 9424
Language:
English
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.
Keywords: ; ; ;
Electric vehicle
GPS driving data
Energy demand
Photovoltaics
Type:
Contribution to an Articlecollection
Activation date:
May 23, 2016
Permalink
https://fis.uni-bamberg.de/handle/uniba/40448