Operational risk analysis of a containerized lithium-ion battery energy storage system based on STPA and fuzzy evaluation-Reference-Cited by-同舟云学术

Operational risk analysis of a containerized lithium-ion battery energy storage system based on STPA and fuzzy evaluation

Published:2023-08 Issue: Volume:176 Page:627-640
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Bu Yang,Wu Yichun,Li Xianlong,Pei Yiru

Funder

Science and Technology Projects of Fujian Province

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference74 articles.

1. A BN-based risk assessment model of natural gas pipelines integrating knowledge graph and DEMATEL;Bai;Process Saf. Environ. Prot.,2023

2. Beijing Emergency Management Bureau (2021). "Investigation Report on "4.16" Major Fire Accident in Fengtai District." from 〈http://yjglj.beijing.gov.cn/art/2021/11/22/art_7466_470.html〉.

3. Ponderation over the recent safety accidents of lithium-ion battery energy storage stations in South Korea;Cao;Energy Storage Sci. Technol.,2020

4. CENSA, 2022. Energy Storage Industry Research White Paper in 2022.

5. Grid-scale energy storage systems: ensuring safety;Chalamala;IEEE Electrification Mag.,2021

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing battery pack safety against cone impact using machine learning techniques and Gaussian noise;Process Safety and Environmental Protection;2024-11

2. A probabilistic uncertain linguistic approach for FMEA‐based risk assessment;Quality and Reliability Engineering International;2024-09-10

3. Assuring the safety of rechargeable energy storage systems in electric vehicles;Journal of Systems Architecture;2024-09

4. Research on power grid outage risk assessment and early warning model based on intelligent decision algorithm;International Journal of System Assurance Engineering and Management;2024-08-14

5. Machine learning-based prediction of battery heat generation management in standard driving cycles to avoid thermal runaway and increasing safety;Process Safety and Environmental Protection;2024-08