Research on Electric Vehicle Charging Safety Warning Based on A-LSTM Algorithm-Reference-Cited by-同舟云学术

Research on Electric Vehicle Charging Safety Warning Based on A-LSTM Algorithm

Published:2023 Issue: Volume:11 Page:55081-55093
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Diao Xiaohong¹,Jiang Linru¹,Gao Tian²^ORCID,Zhang Liang³^ORCID,Zhang Junyu²,Wang Longfei²,Wu Qizhi²

Affiliation:

1. Beijing Electric Vehicle Charging Engineering Technology Research Center, China Electric Power Research Institute, Beijing, China

2. School of Electrical Engineering, Northeast Electric Power University, Jilin, China

3. Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, China

Funder

2022 Beijing Electric Vehicle Charging Engineering Technology Research Center Open Fund Project “Research on Electric Vehicle Adaptive Charging Safety Early Warning Model Based on Deep Learning”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10138895.pdf?arnumber=10138895

Reference26 articles.

1. Research on electric vehicle charging safety warning model based on back propagation neural network optimized by improved gray wolf algorithm

2. Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods

3. A Fault Warning Method for Electric Vehicle Charging Process Based on Adaptive Deep Belief Network

4. A correlation based fault detection method for short circuits in battery packs

5. A method to design the security early warning model of EV charging;qian;Advances of power system and hydroelectric engineering,2016

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