Modelling Electrical Vehicle Charging Demand with Historical Vehicle Movement Data

In order to meet the environmental goals of 2030 set by the European Union, Sweden needs to build between 90 000 and 260 000 public charging poles in the upcoming eight years. In this thesis we have developed a mathematical model that given a area and time outputs the demand for charging in said area, along with introducing a redundancy value intended to show the tendency of vehicles in the area to stay plugged in to a charging station longer than necessary. Areas that show a large demand value and a low redundancy value can be good candidates for where to extend the charging infrastructure and build additional public charging poles. A prototype was built to test the model with real-world historical vehicle movement data provided by WirelessCar Sweden AB. The prototype was tested in three different areas: a supermarket parking area, a residential area, and an office area. Arranging the prototype output on a timeline for a regular weekday shows demand that corresponds with expected traffic in each area, and relative peak demand/redundancy between areas also follows expected patterns. However, assessing the precision of the output values would require more data and refinement of auxiliary functions used in the model, primarily by attaining a true State of Charge value provided by the vehicles.

Department dc:contributor.department

Chalmers tekniska högskola / Institutionen för data och informationsteknik

Year dc:date.issued

2022

Authors dc:creator

• Markan, Kristina
• Nilsson, Victor

Advisor dc:contributor.supervisor

• Grover, Divya

• Electric vehicles
• plug-in hybrid electric vehicles
• charging infrastructure
• vehicle data
• mathematical modelling

Language dc:language.iso

eng

Repository record dc:identifier.uri

https://odr.chalmers.se/handle/20.500.12380/305836

OAI record oai:identifier

https://odr.chalmers.se/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Aodr.chalmers.se%3A20.500.12380%2F305836