Analysis of the Battery Energy Estimation Model in SUMO Compared with Actual Analysis of Battery Energy Consumption

  • Aso Validi (Speaker)

Activity: Talk or presentationContributed talkscience-to-science

Description

Electric vehicles (EVs) are considered a key alternative transportation for improving energy efficiency and reducing CO2 emissions in the traffic sector. To promote the use of these vehicles a reliable, real-world close evaluation in terms of energy consumption and range is crucial. One of the most efficient and frequently adopted microscopic traffic simulation tools, simulation of urban mobility (SUMO), implements an energy estimation model that relies on vehicle and road characteristics. We conduct a comparative analysis of SUMO’s estimated energy consumption and state of charge (SOC) of a simulated battery electric vehicle (BEV) and the energy consumption of an actual 2020 Toyota RAV4 Hybrid LE AWD. Results showed that the energy consumption model in SUMO delivers different results than the ones obtained from the real world driving experiments. These findings are discussed in this paper.
Period23 Jun 2021
Event title16th Iberian Conference on Information Systems and Technologies (CISTI 2021)
Event typeConference
LocationAustriaShow 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
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  • 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