The transition from classic combustion engine to electric vehicles is a major step to reduce worldwide CO2 emissions. In order to correctly and efficiently investigate impacts on the electric grid and the dimensioning of charging infrastructure, or to explore new technologies for a further increase of the driving range, realistic simulation models are required.
In this project we develop an accurate yet computationally inexpensive battery and kinematic model – including recuperation and a range extender module – to be used in microscopic traffic simulation and to help study the performance of thousands of electric vehicles. The overall power balance is derived from the vehicles speed and a set of constant predefined parameters only, therefore the model can be easily coupled with current sophisticated traffic simulators (SUMO). The long period of the field trial (Schaufenster Elektromobilität, e-NUE) provides the necessary data and allows to validate the model’s behavior.
Another research focus is on the incremental substitution of combustion driven cars in vehicle fleets of companies. The simulations shed light on several questions: Regarding, for example, the optimal degree of electrification with respect to the utilization profile of the fleet, or the required charging infrastructure.
In order to investigate the optimization potential of Inter Vehicular Communication (IVC) on the power consumption, the vehicle model is extended by modules reflecting wireless communication devices. Based on that, a co-simulation framework – coupling traffic and network simulation (Veins) – is used to calculate the impact of Intelligent Transportation Systems (ITSs) on electrified vehicles.
- 2013-07-01 – 2015-12-31
- Prof. Dr.-Ing. Reinhard German
- Dr.-Ing. Rüdiger Berndt
- Dr.-Ing. Sebastian Schellenberg
- “Simulative Performance Evaluation of Vehicular Networks,” in “Vehicular Communications and Networks: Architectures, Protocols, Operation and Deployment”, Elsevier/Woodhead Publishing, pp. 255-274, 2015 ,
- “Modeling IVC-based Energy Savings of Electric Vehicles,” 7th IEEE Vehicular Networking Conference (VNC 2015), Kyoto, Japan, Dezember 2015 ,
- “Poster: cOSMetic – Towards Reliable OSM to SUMO Network Conversion,” 7th IEEE Vehicular Networking Conference (VNC 2015), Kyoto, Japan, Dezember 2015 ,
- “A Lightweight Simulation Framework for the Analysis of Electrified Vehicle Fleets,” 81th IEEE Vehicular Technology Conference Spring (VTC 2015-Spring), Glasgow, Scotland, Mai 2015 ,
- “How Electric Vehicles Can Benefit from Vehicular Networking,” 3rd GI/ITG KuVS Fachgespräch Inter-Vehicle Communication (FG-IVC 2015), Ulm, Germany, März 2015 ,
- “Enabling GLOSA for Adaptive Traffic Lights,” 6th IEEE Vehicular Networking Conference (VNC 2014), Paderborn, Germany, pp. 167-174, Dezember 2014 ,
- “Toward an Open Source Location Privacy Evaluation Framework for Vehicular Networks,” 80th IEEE Vehicular Technology Conference Fall (VTC 2014-Fall), Vancouver, BC, Canada, pp. 1-2, September 2014 ,
- “Towards the City-scale Simulation and Performance Assessment of Electric Vehicles,” 2nd GI/ITG KuVS Fachgespräch Inter-Vehicle Communication (FG-IVC 2014), Luxembourg, Luxembourg, pp. 13-16, Februar 2014 ,
- “A Computationally Inexpensive Battery Model for the Microscopic Simulation of Electric Vehicles,” 80th IEEE Vehicular Technology Conference Fall (VTC 2014-Fall), Vancouver, BC, Canada, pp. 1-6, September 2014 ,
- “Evaluating the Electrification of Vehicle Fleets Using the Veins Framework,” Proceedings of the 1st OMNeT++ Community Summit 2014, Hamburg, Germany, September 2014 ,
- “Potentials and Limitations of Green Light Optimal Speed Advisory Systems,” 5th IEEE Vehicular Networking Conference (VNC 2013), Boston, MA, USA, pp. 103-110, Dezember 2013 ,
- “On the Necessity of Accurate IEEE 802.11p Models for IVC Protocol Simulation,” 75th IEEE Vehicular Technology Conference (VTC2012-Spring), Yokohama, Japan, pp. 1-5, Mai 2012 ,
- “Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis,” in IEEE Transactions on Mobile Computing Bd. 10 (1), pp. 3-15., 2011 ,