The Impact of Considering State-of-Charge-Dependent Maximum Charging Powers on the Optimal Electric Vehicle Charging Scheduling-Reference-Cited by-同舟云学术

The Impact of Considering State-of-Charge-Dependent Maximum Charging Powers on the Optimal Electric Vehicle Charging Scheduling

Published:2023-09 Issue:3 Volume:9 Page:4517-4530
ISSN:2332-7782
Container-title:IEEE Transactions on Transportation Electrification
language:
Short-container-title:IEEE Trans. Transp. Electrific.

Author:

Qian Kun¹^ORCID,Fachrizal Reza²^ORCID,Munkhammar Joakim²,Ebel Thomas¹^ORCID,Adam Rebecca C.¹^ORCID

Affiliation:

1. Department of Mechanical and Electrical Engineering, Centre for Industrial Electronics (CIE), University of Southern Denmark, Sønderborg, Denmark

2. Department of Civil and Industrial Engineering, Built Environment Energy Systems Group (BEESG), Division of Civil Engineering and Built Environment, Uppsala University, Uppsala, Sweden

Funder

IE Industrial Elektronik Project which has received European Union co-financing from the European Social Fund

Swedish Strategic Research Program STandUP for Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6687316/10251026/10044725.pdf?arnumber=10044725

Reference52 articles.

1. Data-driven smart charging for heterogeneous electric vehicle fleets

2. Optimal scheduling of an EV aggregator for demand response considering triple level benefits of three-parties

3. Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time

4. A receding horizon approach to peak power minimization for EV charging stations in the presence of uncertainty

5. Optimal Day-Ahead Charging Scheduling of Electric Vehicles Through an Aggregative Game Model

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