Metamodel-Based Simulation to Assess Platooning on Battery Energy Consumption

  • Aso Validi (Speaker)

Activity: Talk or presentationInvited talkscience-to-science

Description

New technological advances have made possible the recent development of automated and connected vehicles. However, there are still challenges to overcome. For example, maintaining constant values for speed and distance between vehicles when the connection has been interrupted. In this line of research, this paper presents the extension of the 3DCoAutosim simulation platform to integrate platooning by means of a dynamic-flexible model that we validate by creating use cases on traffic efficiency. We measured the effects of dynamic-flexible and consistent platooning on battery energy consumption taking into account real-world trips data, collected in Upper Austria. For this purpose we used three electric vans with an autonomous leader, a first semi-autonomous follower with driver and a last autonomous follower. The results showed that the proposed model is able to demonstrate a decrease of the total battery energy consumption when driving in platoon mode.
Period28 Oct 2022
Event titleIEEE ITSS European Chapter Meeting
Event typeOther
LocationSpainShow on map

Fields of science

  • 202003 Automation
  • 303 Health Sciences
  • 501 Psychology
  • 102029 Practical computer science
  • 203 Mechanical Engineering
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 102 Computer Sciences
  • 202041 Computer engineering
  • 202040 Transmission technology
  • 501030 Cognitive science
  • 211911 Sustainable technologies
  • 203004 Automotive technology
  • 201306 Traffic telematics
  • 211917 Technology assessment
  • 102013 Human-computer interaction
  • 102034 Cyber-physical systems
  • 201305 Traffic engineering
  • 102015 Information systems
  • 501026 Psychology of perception
  • 501025 Traffic psychology
  • 202038 Telecommunications
  • 102019 Machine learning
  • 303008 Ergonomics
  • 202037 Signal processing
  • 202036 Sensor systems
  • 202035 Robotics
  • 202034 Control engineering
  • 202031 Network engineering
  • 202030 Communication engineering
  • 211902 Assistive technologies
  • 102021 Pervasive computing
  • 102002 Augmented reality
  • 102024 Usability research
  • 102001 Artificial intelligence
  • 211908 Energy research
  • 102026 Virtual reality
  • 211909 Energy technology
  • 102003 Image processing

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management