Authors:
Falko Koetter
and
Julien Ostermann
Affiliation:
Fraunhofer IAO, Germany
Keyword(s):
Schedule Optimization, Energy Informatics, Electromobility, Corporate Carsharing, EV Fleets.
Related
Ontology
Subjects/Areas/Topics:
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Systems Modeling and Simulation
Abstract:
Use of electric vehicles in corporate carsharing has become a promising option. However, to make the use of
electric vehicles economically feasible, a high degree of utilization is necessary. In the Shared E-Fleet project,
solutions for shared car fleets are being researched, increasing utilization by sharing cars among different companies.
In this work, we present a process and algorithms for real-time vehicle schedule optimization, aiming
to minimize manual scheduling work, to optimize the schedule towards a goal function (e.g. minimizing emissions)
and to compensate disruptions in real-time. We evaluate the approach using synthetic data and model
trials, showing that schedule optimization increases utilization as well as quality-of-service.