Charging load prediction method for expressway electric vehicles considering dynamic battery state-of-charge and user decision-Reference-Cited by-同舟云学术

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Charging load prediction method for expressway electric vehicles considering dynamic battery state-of-charge and user decision

Published:2024-06 Issue:2 Volume:3 Page:115-124
ISSN:2771-9197
Container-title:iEnergy
language:
Short-container-title:iEnergy

Author:

Tan Jiuding¹,Li Shuaibing¹,Cui Yi²,Lin Zhixiang³,Song Yufeng⁴,Kang Yongqiang¹,Dong Haiying¹

Affiliation:

1. School of New Energy and Power Engineering, Lanzhou Jiaotong University,Lanzhou,China,730070

2. School of Engineering, University of Southern Queensland,Springfield,Australia,4300

3. Gansu Communication Investment Management Co., Ltd,Lanzhou,China,730030

4. School of Automation and Electrical Engineering, Lanzhou Jiaotong University,Lanzhou,China,730070

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9732629/10587140/10587177.pdf?arnumber=10587177

Reference30 articles.

1. Charging demand prediction in Beijing based on real-world electric vehicle data

2. What affects consumers' intention to recycle retired EV batteries in China?

3. EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs

4. Prediction of electric vehicle charging-power demand in realistic urban traffic networks

5. System State Estimation Considering EV Penetration With Unknown Behavior Using Quasi-Newton Method

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