Evaluating and processing the data from a charge point management system for the development of standard profiles of different charge point operator types

Abstract

The electrification of vehicles in Germany and the planned restriction on new registrations of internal combustion engines by 2035 are increasing the pressure on the electricity grid. Accurate estimation of the current and future grid load as well as the storage potential of electric vehicles is crucial for grid planning. The development of standard profiles for different charge point operators is necessary to model charging behaviour and assess the impact on the grid. While established profiles exist for public and private charging infrastructure, profiles for corporate fleets are still sparse. However, company fleets have significant potential to contribute to grid services. The objective of this paper is to evaluate the capability of data from a charge point management system to develop standard profiles for different company fleets. Key considerations include the periodicity of the charging behaviour and the heterogeneity of a company's charging infrastructure. Employing an analytical approach, the paper determines the requirements for the data of a specific company that must be fulfilled to develop standard profiles.