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Smart Grid Seminar: Medium and Heavy-Duty Electric Vehicle Infrastructure

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Event Details:

The transition to zero-emission fleets represents an excellent opportunity for transportation decarbonization, especially for medium and heavy-duty (MHD) vehicles, as 75% of the commercial trucks on the road and 98% of Class 8 trucks are currently powered by diesel. From a nationwide perspective, MHD vehicles accounted for only 6% of the total vehicle population in 2020 but contributed to disproportionately high greenhouse gas emissions. Replacing these vehicles with zero-emission technologies poses great challenges due to the lack of infrastructure planning at multiple geospatial scales. In particular, stakeholders are seeking a comprehensive understanding of the infrastructure plans for the projected MHD electric vehicles (EVs), including the type, quantity and location of the charging infrastructure needed. Through the lens of the HEVI-LOAD project, this seminar will discuss the methodologies developed by an LBNL team to project charging infrastructure needs and charging load profiles by the MHD EVs at multiple geospatial resolutions.

Speaker Bio

Dr. Bin Wang is currently a research scientist in the Sustainable Energy & Environmental Systems Department at Lawrence Berkeley National Laboratory (LBNL). Bin completed his Ph.D. in mechanical engineering from the University of California, Los Angeles, in 2016. Since joining LBNL, Bin has been leading multiple research efforts as the principal investigator. His research interests include simulation, control, and optimization techniques for cyber-physical systems, including transportation, vehicle, and electric grid systems with distributed energy resources, etc. He received the Early Career Development LDRD Award in 2019, the Distinguished Achievement Award from the DOE Vehicle Technology Office in 2023 and the 2023 R&D100 award for the HEVI-LOAD tool development.