Electric Power ›› 2024, Vol. 57 ›› Issue (11): 1-17.DOI: 10.11930/j.issn.1004-9649.202405062

• Key Safety Technology of Lithium-Ion Battery Body for Energy Storage • Previous Articles     Next Articles

Key Technology and Development Prospect of Ontology Safety for Lithium-Ion Battery Storage Power Stations

Xiangyang XIA1(), Xinxin TAN2, Zhouping SHAN3, Hui LI4, Zhiqiang XU3, Jinbo WU4, Jiahui YUE1, Guiquan CHEN1   

  1. 1. School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China
    2. BASF Sugo Battery Materials Company Limited, Changsha 410000, China
    3. State Grid Hunan Economic and Technological Research Institute Co., Ltd., Changsha 410000, China
    4. State Grid Hunan Electric Power Research Institute, Changsha 410000, China
  • Received:2024-05-14 Accepted:2024-08-12 Online:2024-11-23 Published:2024-11-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.51977014).

Abstract:

The introduction of the "dual carbon" targets and the ongoing advancement of low-carbon transitions in energy and electricity have posed significant challenges to the new-type power system, which primarily relies on renewable energy sources, particularly in terms of large-scale, safe, and efficient energy storage. In this context, energy storage stations, as a crucial component of the energy system, are of utmost importance in terms of safety management, directly influencing the stable operation and sustainable development of the entire power system. This essay delves into the current research status of lithium-ion battery safety management. Firstly, it systematically reviews the various battery health assessment methods widely used today and comprehensively summarizes the selection of health indicators in data-driven approaches. Secondly, it discusses the latest research hotspots in existing battery state assessment technologies from three perspectives: battery state evaluation based on data fragmentation, the construction of battery edge platforms, and intelligent inspection of energy storage stations. The essay also points out the future direction and key challenges of energy storage safety assessment. Lastly, it presents insights into the safety control technologies for energy storage stations, addressing the system stability considering battery parameter variations and the multi-objective control of energy storage systems.

Key words: lithium-ion battery, state of health, state estimation, edge computing, intelligent inspection, multi-objective control