Yu Jiang , Lei Huang , Sidi Dong , Wenli Deng , Xuexia Zhang
{"title":"模拟质子交换膜燃料电池堆电压不一致的演变:温度和氧气过剩比的依赖关系","authors":"Yu Jiang , Lei Huang , Sidi Dong , Wenli Deng , Xuexia Zhang","doi":"10.1016/j.fuel.2025.136416","DOIUrl":null,"url":null,"abstract":"<div><div>Cell-to-cell inconsistency has emerged as a predominant performance factor in commercial proton exchange membrane fuel cell (PEMFC) stacks. However, prevailing operation management studies emphasize aggregate stack output performance, while neglecting systematic analysis of inter-cell inconsistency. To address this research gap, an in-depth investigation of the voltage inconsistency evolution is conducted by modeling the variation of coefficients <em>α</em> and <em>β</em> in voltage inconsistency<em>-</em>voltage (<em>C<sub>V</sub>-V</em>) model with respect to operating conditions. Regarding the evolution model, both coefficients <em>α</em> and <em>β</em> have been found to exhibit the quadratic polynomial relationships with temperature, while demonstrating exponential function relationships with the oxygen excess ratio (OER), respectively. Experimental data from two commercial stacks are employed to confirm model effectiveness. Verification results indicate that the temperature-dependent <em>C<sub>V</sub></em>(<em>T</em>) model achieves superior performance (RMSE = 0.031) in predicting voltage inconsistency under dynamic temperature variations, representing a 61.73 % improvement over <em>C<sub>V</sub></em>(50) expression (RMSE = 0.081). Furthermore, the OER-evolutionary model <em>C<sub>V</sub></em>(OER) yields an RMSE of only 0.0077 in estimating voltage inconsistency under dynamic OER conditions, corresponding a 51.88 % of error reduction compare to the <em>C<sub>V</sub></em>(2.0) expression (RMSE = 0.016). These findings offer critical insights on estimating voltage inconsistency for the real-world PEMFC systems.</div></div>","PeriodicalId":325,"journal":{"name":"Fuel","volume":"404 ","pages":"Article 136416"},"PeriodicalIF":7.5000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling the evolution of voltage inconsistency in proton exchange membrane fuel cell stacks: Temperature and oxygen excess ratio dependencies\",\"authors\":\"Yu Jiang , Lei Huang , Sidi Dong , Wenli Deng , Xuexia Zhang\",\"doi\":\"10.1016/j.fuel.2025.136416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cell-to-cell inconsistency has emerged as a predominant performance factor in commercial proton exchange membrane fuel cell (PEMFC) stacks. However, prevailing operation management studies emphasize aggregate stack output performance, while neglecting systematic analysis of inter-cell inconsistency. To address this research gap, an in-depth investigation of the voltage inconsistency evolution is conducted by modeling the variation of coefficients <em>α</em> and <em>β</em> in voltage inconsistency<em>-</em>voltage (<em>C<sub>V</sub>-V</em>) model with respect to operating conditions. Regarding the evolution model, both coefficients <em>α</em> and <em>β</em> have been found to exhibit the quadratic polynomial relationships with temperature, while demonstrating exponential function relationships with the oxygen excess ratio (OER), respectively. Experimental data from two commercial stacks are employed to confirm model effectiveness. Verification results indicate that the temperature-dependent <em>C<sub>V</sub></em>(<em>T</em>) model achieves superior performance (RMSE = 0.031) in predicting voltage inconsistency under dynamic temperature variations, representing a 61.73 % improvement over <em>C<sub>V</sub></em>(50) expression (RMSE = 0.081). Furthermore, the OER-evolutionary model <em>C<sub>V</sub></em>(OER) yields an RMSE of only 0.0077 in estimating voltage inconsistency under dynamic OER conditions, corresponding a 51.88 % of error reduction compare to the <em>C<sub>V</sub></em>(2.0) expression (RMSE = 0.016). These findings offer critical insights on estimating voltage inconsistency for the real-world PEMFC systems.</div></div>\",\"PeriodicalId\":325,\"journal\":{\"name\":\"Fuel\",\"volume\":\"404 \",\"pages\":\"Article 136416\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2025-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fuel\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0016236125021416\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuel","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016236125021416","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Modelling the evolution of voltage inconsistency in proton exchange membrane fuel cell stacks: Temperature and oxygen excess ratio dependencies
Cell-to-cell inconsistency has emerged as a predominant performance factor in commercial proton exchange membrane fuel cell (PEMFC) stacks. However, prevailing operation management studies emphasize aggregate stack output performance, while neglecting systematic analysis of inter-cell inconsistency. To address this research gap, an in-depth investigation of the voltage inconsistency evolution is conducted by modeling the variation of coefficients α and β in voltage inconsistency-voltage (CV-V) model with respect to operating conditions. Regarding the evolution model, both coefficients α and β have been found to exhibit the quadratic polynomial relationships with temperature, while demonstrating exponential function relationships with the oxygen excess ratio (OER), respectively. Experimental data from two commercial stacks are employed to confirm model effectiveness. Verification results indicate that the temperature-dependent CV(T) model achieves superior performance (RMSE = 0.031) in predicting voltage inconsistency under dynamic temperature variations, representing a 61.73 % improvement over CV(50) expression (RMSE = 0.081). Furthermore, the OER-evolutionary model CV(OER) yields an RMSE of only 0.0077 in estimating voltage inconsistency under dynamic OER conditions, corresponding a 51.88 % of error reduction compare to the CV(2.0) expression (RMSE = 0.016). These findings offer critical insights on estimating voltage inconsistency for the real-world PEMFC systems.
期刊介绍:
The exploration of energy sources remains a critical matter of study. For the past nine decades, fuel has consistently held the forefront in primary research efforts within the field of energy science. This area of investigation encompasses a wide range of subjects, with a particular emphasis on emerging concerns like environmental factors and pollution.