datafev—A Python framework for development and testing of management algorithms for electric vehicle charging infrastructures

Software Impacts, vol. 15, pp. 100467

Abstract

datafev is an open-source Python framework for developing and testing management strategies for electric vehicle (EV) charging. It includes several algorithms related to EV charging such as schedule optimization, and reference routines to generate charging events based on statistical inputs such as conditional probability distributions of arrival/departure times. datafev provides reference dynamic simulation routines to represent the temporal and logical sequence of the events taking place in an EV charging environment including EV drivers, aggregators, and charger cluster operators. An illustrative code example demonstrates the framework's use for testing user-defined energy management strategies.

Authors 5

1. Erdem Gümrükcü corresponding Aachen Institute for Automation of Complex Power Systems E.ON Energy Research Center

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, Mathieustrasse 10, Aachen, Germany

2. Amir Ahmadifar
3. Aytug Yavuzer
4. F. Ponci
5. Antonello Monti