Development of Smart Operation and Maintenance Platform for Distributed Large-scale Battery Energy Storage Stations Based on Cloud Edge Collaboration-Reference-Cited by-同舟云学术

Development of Smart Operation and Maintenance Platform for Distributed Large-scale Battery Energy Storage Stations Based on Cloud Edge Collaboration

Published:2024-05-17 Issue: Volume: Page:92-98
ISSN:
Container-title:2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia)
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Author:

Li Guoqing¹,Zhao Jiahui²,Liu Mingyi²,Zhang Guohui³,Liu Dawei²,Zhu Yong²,Yong Sheng³,Wang Jianxing²,Zhang Wei⁴,Lin Sheng⁴,Liu Chenghao²,Sun Yue²,Zhou Fei²,Jing Hao⁴,Cao Chuanzhao²,Cao Xi²,Pei Jie²,Xu Ruochen²,Li Yaoyu²,Qin Ye²,Jin Jiangjiang⁵,Zhang Min⁵

Affiliation:

1. Huaneng Renewables Co. Ltd.,Beijing,China

2. China Huaneng Group Clean Energy Research Institute,Department of Energy Storage,China

3. Huaneng Zhalaiteqi Solar PV Power Generation Co., Ltd.,Tongliao City,China

4. Huaneng Renewable Energy Smart Operation & Maintenance Center,Beijing,China

5. China Huaneng Group Corporation,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10567049/10567050/10568006.pdf?arnumber=10568006

Reference12 articles.

1. Battery Energy Storage System with Energy Spring Based on VSG Control Strategy

2. A fast diagnosis method for accelerated degradation fault induced by overcharging of LiFePO4 batteries

3. Battery Thermal Runaway Fault Prognosis in Electric Vehicles Based on Abnormal Heat Generation and Deep Learning Algorithms

4. Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks

5. Battery Fault Diagnosis for Electric Vehicles Based on Voltage Abnormality by Combining the Long Short-Term Memory Neural Network and the Equivalent Circuit Model