TY - GEN
T1 - A Hybrid Traffic Simulation Framework for Evaluating Predictive ICT Approaches in Modern Vehicles
AU - Spreiter, Lucas
AU - Rehberger, Sebastian
AU - Vogel-Heuser, Birgit
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/10
Y1 - 2015/12/10
N2 - Recent advances in automotive technology are focused on topics about e-mobility as well as integrating information and communication technologies (ICT). Newly developed vehicle concepts possess a large diversification regarding powertrain configurations, e.g., in hybrid or battery powered electric vehicles. For those vehicles, which are equipped with complex energy storage technology, a control algorithm is obligatory for managing the energy flows during run-time. These systems are referred to as energy-management system (EMS) or supervisory control. To evaluate the efficiency of such control systems, usually a simulated or real vehicle is tested under a static load scenario. In this paper, we present an approach for creating dynamic traffic scenarios in a discrete-event simulation (DES) based on MATLAB/Simulink to evaluate possible vehicle-to-vehicle and vehicle-to-infrastructure interaction. The aim is to analyze which environment information depending on the related sensor or predictive control problem is able to support an ICT system, e.g., an advance driver assistance system (ADAS) or energy management strategies. Further, the simulation approach has been formulated in a modular library to offer creation of different traffic simulation scenarios. The results are evaluated for a driver model and a standard traffic situation.
AB - Recent advances in automotive technology are focused on topics about e-mobility as well as integrating information and communication technologies (ICT). Newly developed vehicle concepts possess a large diversification regarding powertrain configurations, e.g., in hybrid or battery powered electric vehicles. For those vehicles, which are equipped with complex energy storage technology, a control algorithm is obligatory for managing the energy flows during run-time. These systems are referred to as energy-management system (EMS) or supervisory control. To evaluate the efficiency of such control systems, usually a simulated or real vehicle is tested under a static load scenario. In this paper, we present an approach for creating dynamic traffic scenarios in a discrete-event simulation (DES) based on MATLAB/Simulink to evaluate possible vehicle-to-vehicle and vehicle-to-infrastructure interaction. The aim is to analyze which environment information depending on the related sensor or predictive control problem is able to support an ICT system, e.g., an advance driver assistance system (ADAS) or energy management strategies. Further, the simulation approach has been formulated in a modular library to offer creation of different traffic simulation scenarios. The results are evaluated for a driver model and a standard traffic situation.
KW - discrete-event simulation
KW - hybrid electric vehicle
KW - traffic simulation
KW - vehicle simulation
UR - http://www.scopus.com/inward/record.url?scp=84962815444&partnerID=8YFLogxK
U2 - 10.1109/VPPC.2015.7352875
DO - 10.1109/VPPC.2015.7352875
M3 - Conference contribution
AN - SCOPUS:84962815444
T3 - 2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings
BT - 2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE Vehicle Power and Propulsion Conference, VPPC 2015
Y2 - 19 October 2015 through 22 October 2015
ER -