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

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.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-11-01
DOI
https://doi.org/10.11930/j.issn.1004-9649.202405062
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

1 citations
SHILAP Revista de lepidopterología
Advanced Battery Technologies Research
0.20
article

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

article en
1 citations

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.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 45%
Advanced Battery Technologies Research
0.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.