Model-Based Framework to Optimize Charger Station Deployment for Battery Electric Vehicles-Reference-Cited by-同舟云学术

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Model-Based Framework to Optimize Charger Station Deployment for Battery Electric Vehicles

Published:2022-06-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Eagon Matthew¹,Fakhimi Setayesh²,Lyu George³,Yang Audrey⁴,Lin Brian⁵,Northrop William F.¹

Affiliation:

1. University of Minnesota,Mechanical Engineering,Minneapolis,MN,55455

2. Robotics Institute University of Minnesota,Minneapolis,MN,55455

3. Rice University,Applied Mathematics,Houston,TX,77005

4. New York University,Data Science,New York,NY,10011

5. Stanford University,Economics,Stanford,CA,94305

Funder

Office of Energy Efficiency and Renewable Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9826996/9826997/09827442.pdf?arnumber=9827442

Reference30 articles.

1. Estimating electric vehicle charging infrastructure costs across major u.s. metropolitan areas;nicholas;International Council on Clean Transportation,2019

2. Learning EV Placement Factors with Social Welfare and Economic Variation Modeling

3. Charging infrastructure placement for electric vehicles: An optimization prospective

4. Growing the charging station network for electric vehicles with trajectory data analytics

5. Optimal fast charging station placing and sizing

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