A study to estimate electric vehicle load profiles based on the Dutch mobility behaviour

Electric vehicles are receiving renewed and growing interest from the general public. Therefore more comprehensive knowledge of the driver's behaviour and the impact of electric vehicles on the power generation, electrical grid load and distribution installations are necessary. Data concerning vehicle charge profiles and battery load profiles are required for the estimation of the daily grid load in order to evaluate the impact on the electricity infrastructure. The scope and main objective of this study is to determine the assumptions and methodology to convert the mobility behaviour of a spe... Mehr ...

Verfasser: Wijdeveld, Robertus Everard Johannes Bernardus
Dokumenttyp: Abschlussarbeit
Erscheinungsdatum: 2020
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27051010
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-51666

Electric vehicles are receiving renewed and growing interest from the general public. Therefore more comprehensive knowledge of the driver's behaviour and the impact of electric vehicles on the power generation, electrical grid load and distribution installations are necessary. Data concerning vehicle charge profiles and battery load profiles are required for the estimation of the daily grid load in order to evaluate the impact on the electricity infrastructure. The scope and main objective of this study is to determine the assumptions and methodology to convert the mobility behaviour of a specific mobility group into their prospective charge behaviour and the battery load profiles. The charge profile gives an indication of the actual power demand from an electric vehicle at a certain time of the day. The battery load profile gives the average daily power demand based on the mobility behaviour translated to one vehicle. Driving and charging behaviour vary significantly across different mobility groups, along with vehicle energy consumption. With these results one can predict the impact from electric vehicles on the electrical grid. This study made use of the mobility survey of the Netherlands which is carried out by the Dutch Centre for Transport and Navigation and contains general mobility data from the total Dutch population divided in different behavioural groups, which are: commuters, business, shopping, private errands, and leisure. This data includes the trip distance, number of daily trips, time of arrival at certain destinations and parking times. For each mobility group, this study has developed different charge scenarios which are based on the most common drive cycles. From these drive cycles, the energy use of the average trip distance and the battery state of charge are calculated on an hourly base. Consequently, a model has been developed in which the distribution of the mobility data from a defined mobility group is combined with the battery power demand of their drive cycle. Out of this model, the ...