For an innovative insight into using mobile phone data to estimate charging demands of electric vehicles (EV) and their impacts on the power grid, a team around USE-Lab researchers have won the Best Application Paper Award at this year's IEEE Intelligent Transportation Conference in Edmonton, Canada.
The team included Dr. Jiazu Zhou, who has been a visiting postdoc at the USE-Lab and is the first author of the paper, and Prof. Markus Schläpfer, who is the senior author, as well as collaborators from the Nanyang Technological University and the ETH Future Cities Laboratory in Singapore.
The team proposed a new methodology for modeling the individual mobility patterns of EVs by leveraging anonymized large-scale mobile phone data. This allows for detailed simulations of district-level EV charging demand profiles and for identifying insufficient electricity grid capacities. The study contributes to the understanding of future transportation-energy systems interactions, laying the groundwork for the development of efficient EV charging strategies.
Read the paper “Estimating electric vehicle charging demand and its impact on the power grid using mobile phone data” online (September 27, 2024) [link to be added].
Read more about the IEEE Intelligent Transportation Conference 2024.
