储能科学与技术2025，Vol.14Issue(6)：2524-2531,8.DOI:10.19799/j.cnki.2095-4239.2024.1209
钒电池核心部件可靠性模型参数估计分析
Parameter-estimation analyses of reliability models for the core components of a vanadium-redox-flow battery
摘要
Abstract
Reliability design is an important aspect of the development of vanadium-battery stacks,and it plays a decisive role in the safety and economy of energy-storage systems.Taking the liquid-flow frame and bipolar plate as the research objects,this study establishes reliability models for the core components of vanadium batteries based on the lognormal distribution and on two-parameter and three-parameter Weibull-distribution models.Parameter-estimation in this study is based on the maximum-likelihood estimation method and the GM(1,1)method.The K-S test and the root-mean-square error(RMSE)were adopted as evaluation indicators for exploring the influence of the distribution model and the parameter-estimation method on the reliability of the predictions.The results show that the minimum goodness-of-fit for the liquid-flow-frame reliability model is 0.89,indicating that the reliability models obtained using the two-parameter-estimation methods all pass the goodness-of-fit test.Further,the minimum RMSE of the reliability model is 0.22,which indicates that the two-parameter distribution model based on the GM(1,1)method is the most suitable reliability model for the liquid-flow frame.The minimum goodness-of-fit of the bipolar plate reliability model is 0.03,which indicates that the maximum-likelihood estimation method is not suitable for estimating the parameters of the three-parameter Weibull-distribution.Further,the minimum RMSE of the reliability model is 0.16,which indicates that the two-parameter distribution model based on the GM(1,1)method is the most accurate reliability model for the bipolar plate.These research results have theoretical guiding significance for the reliability design and optimization of vanadium-battery core components and systems.关键词
钒电池/可靠性/概率分布模型/K-S检验/均方根误差Key words
vanadium battery/reliability/probability distribution model/K-S test/RMSE分类
通用工业技术引用本文复制引用
徐航,史小虎,余龙海,孙彦招,王友..钒电池核心部件可靠性模型参数估计分析[J].储能科学与技术,2025,14(6):2524-2531,8.基金项目
湖北省自然科学基金联合基金项目(2023AFD036). （2023AFD036）
