Authors:
Julien Ostermann
and
Falko Koetter
Affiliation:
Fraunhofer Institute for Industrial Engineering IAO, Germany
Keyword(s):
Energy Management System, Electric Vehicle, Distributed Energy Resources, Cloud-based, Information and Communication Technology, Optimal Charging, Direct Load Control.
Related
Ontology
Subjects/Areas/Topics:
Architectures for Smart Grids
;
Energy and Economy
;
Energy Management Systems (EMS)
;
Energy-Aware Systems and Technologies
;
Optimization Techniques for Efficient Energy Consumption
;
Renewable Energy Resources
;
Scheduling and Switching Power Supplies
;
Smart Grids
;
Virtualization for Reducing Power Consumption
Abstract:
The combination of sustainable energy generation and transportation is one of the biggest challenges of the
21st century. In this work, an energy management system is presented which provides energy-managementas-
a-service for electric vehicle fleet operators. Energy production and price forecasts are integrated with
near real-time telematics data from a shared electric vehicle fleet, to optimize charging profiles for multiple
charging sites of fleet operators. For this purpose, system architecture and a proper optimization method
enabling different charging strategies are introduced. The presented system is finally evaluated by real
world model trails and an optimization benchmark.