Tuesday, October 24, 2023 - 4:00pm
Event Calendar Category
LIDS & Stats Tea
Guangchun (Grant) Ruan
Building and Room Number
The performance and service life of electric vehicle (EV) batteries degrade deadly in cold climate, and heating is a common-but-expensive option to survive EVs in this case. Coordinating the heating and charging demand at scale has great potential to enhance the climate resilience of EVs. In this talk, we propose a novel station-level decision system to simultaneously manage the EV heating and charging demand. With a thermal dynamic model and a temperature-aware EV charging model, we conduct a rigorous assessment of cold temperature impacts on the EV charging performance and lifespan. The key findings of this talk are informative to enhance the climate resilience of EVs and contribute to the construction of green charging stations.
Guangchun (Grant) Ruan is currently a postdoc with the Laboratory for Information & Decision Systems (LIDS) at MIT. Before joining MIT, he received the Ph.D. degree in electrical engineering from Tsinghua University in 2021, and worked as a postdoc with the University of Hong Kong in 2022. He visited Texas A&M University in 2020 and the University of Washington in 2019. His research interests include electricity market, energy resilience, demand response, data science and machine learning applications.