eTa - efficient transportation alternatives
Research project at a glance
Departments and Instituts
01.07.2017 to 30.06.2021
The development of sustainable electromobility is one of the social challenges our time, which is considered in the research project eTa.
The energy efficiency of vehicles is addressed in aerodynamic projects and optimized operating strategies. In particular, non-classic vehicle concepts are in focus. Alternative mobility concepts based on non-fossil fuels need new supply structures. The optimized expansion of the loading infrastructure is therefore another issue. But even the best mobility concept is useless if it is not accepted by society and implemented by politics and business. Therefore, acceptance questions are a central element of eTa, which will be further developed.
The following areas are addressed primarily by the need to reduce energy consumption:
- Efficiency of the vehicles
- Alternative mobility concepts
- Efficiency of mobility concepts
- Technical acceptance
In particular, these are questions which arise only from the combined consideration of these subject areas and are usually not fully answered in classical manner. Examples of this are
- optimization of hybrid controls for muscle-electric hybrid light vehicles
- and study of the aerodynamics of ultralight vehicles where results of the classic wind tunnel tests often do not correspond to the results of the practice.
Other topics that we are dealing with are
- predictive operational strategies for electric combustion hybrid vehicles and loss optimization,
- optimization of multi-stage placement of charging stations,
- acceptance of alternative mobility concepts.
Preperatory work in the context of eTa
Christina Pakusch, and Paul Bossauer. User Acceptance of Fully Autonomous Public Transport. In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 4: ICE-B, (ICETE 2017) ISBN 978-989-758-257-8, pages 52-60. DOI: 10.5220/0006472900520060
Ausgezeichnet mit dem Best Paper Award.
- Melanie Ludwig, Harald Grohganz, and Alexander Asteroth. A Convolution Model for Heart Rate Prediction in Physical Exercise. In Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2016), pages 157-164. DOI: 10.5220/0006030901570164
- Melanie Ludwig, David Schaefer, and Alexander Asteroth. Training Simulation with Nothing but Training Data - Simulating Performance based on Training Data Without the Help of Performance Diagnostics in a Laboratory. In Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2016), pages 75-82. DOI: 10.5220/0006042900750082
- Melanie Ludwig and Alexander Asteroth. Predicting performance from outdoor cycling training with the fitness-fatigue model. In Proceedings dvs-Workshop Modelling in Endurance Sports, pages 3–6. KOPS – The Institutional Repository of the University of Konstanz, 2016. URI: http://nbn-resolving.de/urn:nbn:de:bsz:352-0-371586.