Research on online monitoring platform of charging pile based on big data soft computing

Author:

Zhang Jieliang,Jiang Libin,Zhang Huanghui,Zheng Peiqiang,Fang Jie,Zhao Sikan,Lin Yong

Publisher

Springer Science and Business Media LLC

Reference19 articles.

1. Dan Wu, Haohan Z, Ting L et al (2022) Prediction method of electric vehicle charging pile operating state based on CNN and LSTM hybrid network. Electric Mach Control Appl 49(2):83–89

2. Yang Yubo Lu, Da BJ et al (2020) Research on a blockchain-based charging pile maintenance system. Power Syst Prot Control 48(22):135–141

3. Xiang Z, Liangliang C, Mingzhen Li et al (2021) A fault diagnosis method for DC charging pile based on deep neural network. Electr Meas Instrum 58(6):148–152

4. Yi Zhonglin Ju, Hanji WJ et al (2021) Fault location system configuration and location method of charging pile based on binary particle swarm optimization. Electr Meas Instrum 58(2):139–145

5. Kehui S, Guopeng L, Shaoxiong Li et al (2021) Power quality analysis method of an electric vehicle charging station based on measured data. Power Syst Prot Control 49(02):74–88

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