A Comprehensive Analysis of EV Charging Demand Prediction, Infrastructure Planning, and Power Network Resilience in the Era of Electric Mobility

Tarafdar, Sayantan; Zhang, Yi; Gong, Yaobang; Yang, Xianfeng

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A Comprehensive Analysis of EV Charging Demand Prediction, Infrastructure Planning, and Power Network Resilience in the Era of Electric Mobility

2024-08-01
By Tarafdar, Sayantan ; Zhang, Yi ; Gong, Yaobang

File Language:

English

Details

Creators:

Tarafdar, Sayantan ; Zhang, Yi ; Gong, Yaobang ; Yang, Xianfeng
Corporate Creators:

Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC) ; University of Maryland (College Park, Md.)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Publication/ Report Number:

SM12
Resource Type:

Tech Report
Geographical Coverage:

Baltimore (Maryland) ; United States
Edition:

Final Report
Corporate Publisher:

Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)
Abstract:

Electric vehicles (EVs) have gained significant popularity, becoming an attractive option for cleaner transportation systems, with market adoption in the USA growing substantially over the years. However, a key challenge for this expanding market is the limited charging infrastructure in both residential and commercial spaces. This project studies the optimal number and placement of charging stations needed to accommodate EVs at residential and commercial locations based on market penetration rates and the adoption of charging infrastructure in households. Focusing on the Baltimore Metropolitan Statistical Area (MSA), the study integrates real-world Origin-Destination (OD) trip data with census data to examine the relationship between residential and commercial EV charging infrastructures.
Format:

PDF
Funding:

69A3552348303
Download URL:

https://rosap.ntl.bts.gov/view/dot/79073/dot_79073_DS1.pdf
File Type:

[PDF - 1.77 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:2e69c5e1bd8cbd4b686c307184629495cb1ef0f76dbb25e6f0c7b0a4c406de46f91f1a7d689c06ca6eff0ce54668ba7b54d1ee72734b879eb446ddd4c2802027

File Language:

English

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