Optimized model‐based diagnosis approach for hydrogen leakage in hydrogen supply system of fuel cell truck

International Journal of Energy ResearchVolume 46, Issue 12 p. 17720-17725 TECHNICAL NOTE Optimized model-based diagnosis approach for hydrogen leakage in hydrogen supply system of fuel cell truck Shu Liu, Shu Liu School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, ChinaSearch for more papers by this authorRen He, Corresponding Author Ren He heren@ujs.edu.cn orcid.org/0000-0001-7054-2006 School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China Correspondence Ren He, School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China. Email: heren@ujs.edu.cnSearch for more papers by this author Shu Liu, Shu Liu School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, ChinaSearch for more papers by this authorRen He, Corresponding Author Ren He heren@ujs.edu.cn orcid.org/0000-0001-7054-2006 School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China Correspondence Ren He, School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China. Email: heren@ujs.edu.cnSearch for more papers by this author First published: 11 July 2022 https://doi.org/10.1002/er.8368 Funding information: Graduate Research and Innovation Projects of Jiangsu Province, Grant/Award Number: KYCX21_3335 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Summary The hydrogen leakage in hydrogen supply system of fuel cell vehicles is a critical issue that leads to energy loss or even safety accidents. A quick and accurate diagnosis of hydrogen leakage is essential to suppress further leakage. Therefore, an optimized model-based diagnosis approach is proposed to diagnose the hydrogen leakage in hydrogen supply system of fuel cell truck. The simulation model of hydrogen leakage is established. Two novel leakage features are proposed and then trained and tested by applying support vector machines (SVMs) to classify different hydrogen leakage levels. Genetic algorithm (GA) is used to improve the performance of hydrogen leakage detection method in terms of accuracy. The results show that the proposed hydrogen leakage diagnosis method can effectively diagnose different hydrogen leakage levels. Especially for small hydrogen leakage, the proposed approach also shows enough effectiveness. Moreover, the proposed diagnosis method can detect hydrogen leakage both under parking state and continuously changing driving conditions. The proposed diagnosis method has good practicability and can guide the design of alarm system, which is important to save hydrogen energy and improve the reliability of the system. Volume46, Issue1210 October 2022Pages 17720-17725 RelatedInformation