Modelling Electrical Vehicle Charging Demand with Historical Vehicle Movement Data

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dc.contributor.authorMarkan, Kristina
dc.contributor.authorNilsson, Victor
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineeringen
dc.contributor.examinerPiterman, Nir
dc.contributor.supervisorGrover, Divya
dc.date.accessioned2022-11-29T13:33:09Z
dc.date.available2022-11-29T13:33:09Z
dc.date.issued2022
dc.date.submitted2020
dc.description.abstractIn 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.
dc.identifier.coursecodeDATX05
dc.identifier.urihttps://odr.chalmers.se/handle/20.500.12380/305836
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectElectric vehicles
dc.subjectplug-in hybrid electric vehicles
dc.subjectcharging infrastructure
dc.subjectvehicle data
dc.subjectmathematical modelling
dc.titleModelling Electrical Vehicle Charging Demand with Historical Vehicle Movement Data
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeComputer science – algorithms, languages and logic (MPALG), MSc
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