Smart Charging of Electric Vehicles: Exploration of Existing Strategies, Modeling, and Grid Impact Analysis Techniques

Sastry, Kartik; Taylor, David; Leamy, Michael

doi:10.7922/G2CR5RP8

i

Smart Charging of Electric Vehicles: Exploration of Existing Strategies, Modeling, and Grid Impact Analysis Techniques

2023-06-01
By Sastry, Kartik ; Taylor, David ; Leamy, Michael

File Language:

English

Details

Creators:

Sastry, Kartik ; Taylor, David ; Leamy, Michael
Corporate Creators:

Georgia Institute of Technology. School of Civil and Environmental Engineering ; National Center for Sustainable Transportation (NCST)
Corporate Contributors:

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

https://doi.org/10.7922/G2CR5RP8
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

National Center for Sustainable Transportation (NCST) (UTC)
Abstract:

Electrification of the transportation sector provides the means to significantly reduce greenhouse gas emissions from internal combustion engine vehicles (ICEVs). However, for electric vehicles (EVs) to remain a viable alternative to ICEVs, solutions must be developed to meet the associated growth in power demand (for charging) without stressing the power distribution infrastructure. One potential solution to this challenge is to control the EV charging load through smart charging. The objectives of the proposed research effort are to (i) clearly define the smart charging problem, (ii) complete a comprehensive literature review, (iii) develop and document fundamental models needed to analyze EV charging and grid impact, and (iv) develop mathematical algorithms for solving the smart-charging problem defined in (i).
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/77617/dot_77617_DS1.pdf
File Type:

[PDF - 690.59 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:b33d88bc9c3f73f82c6d7868be9ebed244dfdb6fd822f73c160a634abad7c6fc7245dbb4e79fd0cd8bbe5255bef135e54a0f641a1d4e176bf01b4bdb26769936

File Language:

English

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