Dynamic Evaluation Method of Running State of Charging Pile Based on Multi-Source Data of Fault Operation and Maintenance

Dynamic Evaluation Method of Running State of Charging Pile Based on Multi-Source Data of Fault Operation and Maintenance | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Dynamic Evaluation Method of Running State of Charging Pile Based on Multi-Source Data of Fault Operation and Maintenance Taoyong Li, Peng Gao, Yuanying Zhang, Biyu Wang, Xu Yang, Panpan Tang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7225707/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper proposes a dynamic health status assessment method for charging station faults and operation based on multi-source data, aiming to achieve real-time monitoring and health assessment of charging station operation status through subjective and objective weight optimization and dynamic health scoring. Firstly, by collecting real-time data on the operation status of charging stations, multi-modal abnormal data is filtered using the 3-method and interquartile range method; secondly, missing data is filled using regression analysis, and data is normalized using the minimum-maximum value normalization method; thirdly, a charging station health status assessment system is constructed, combining the entropy weight method and health index as the comprehensive health weight of the analytic hierarchy process to determine the corresponding health level; finally, an engineering example verification is conducted based on the actual charging order data of a power company in Shandong Province in 2024. The practice proves that the proposed method reduces subjective bias through weight fusion and achieves an assessment accuracy of 95%. The entropy weight method compensates for the deficiency of the analytic hierarchy process in being insensitive to data variation, addressing the subjective limitations; the health index introduces the time variable t, enabling the weights to adaptively adjust with equipment aging, which is superior to the static weight model. This method significantly improves the fault diagnosis ability of charging stations and the refinement level of operation and maintenance management. Physical sciences/Energy science and technology Physical sciences/Engineering Physical sciences/Mathematics and computing Charging pile Entropy weight method Health index Comprehensive evaluation Analytic hierarchy process Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7225707","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":496958458,"identity":"0097bb79-0700-4f5d-89ff-d2f06761bc31","order_by":0,"name":"Taoyong Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIiWNgGAWjYBACNvnzzz//qLCRsz/efPBBQkUNYS18EjxszAxn0owZzhxLNnhw5hhhLXIgLYxthxIbbuSYST5sYSbCYdK9xx4XnDnA2NhzwKwisYGNgb+9OwG/Fplz6cYzKu4wM7M3pN1I3CHDIHHm7Ab8WhgSDCR4zjxjY+M5cOxG4hk2BgOJXCK08LYd5uGRSGwrSGxjJkKLRI6ZNFCLhIREMhsDcVp4jiUbzjiTZmDAc4xZIuHMMR6CfpFvB8bghwqb+g3s/R8//qiokeNv78WvBQPwkKZ8FIyCUTAKRgFWAABMyU4x3ODMNwAAAABJRU5ErkJggg==","orcid":"","institution":"Electric Power Research Institute","correspondingAuthor":true,"prefix":"","firstName":"Taoyong","middleName":"","lastName":"Li","suffix":""},{"id":496958459,"identity":"a773c3d0-bde0-4c89-b302-33fb8688755d","order_by":1,"name":"Peng Gao","email":"","orcid":"","institution":"Electric Power Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Peng","middleName":"","lastName":"Gao","suffix":""},{"id":496958460,"identity":"5f1976e5-eb7c-4e1c-b2f4-ba42902a46e8","order_by":2,"name":"Yuanying Zhang","email":"","orcid":"","institution":"Electric Power Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Yuanying","middleName":"","lastName":"Zhang","suffix":""},{"id":496958461,"identity":"6b69d1ae-7969-4e84-bcac-e8d5e52c3422","order_by":3,"name":"Biyu Wang","email":"","orcid":"","institution":"Electric Power Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Biyu","middleName":"","lastName":"Wang","suffix":""},{"id":496958462,"identity":"0c8747e1-09b4-4336-8998-343bae83082f","order_by":4,"name":"Xu Yang","email":"","orcid":"","institution":"Electric Power Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Xu","middleName":"","lastName":"Yang","suffix":""},{"id":496958463,"identity":"aa09fe9c-dd9e-4ff8-9efe-64aebacc54a5","order_by":5,"name":"Panpan Tang","email":"","orcid":"","institution":"Electric Power Research Institute","correspondingAuthor":false,"prefix":"","firstName":"Panpan","middleName":"","lastName":"Tang","suffix":""}],"badges":[],"createdAt":"2025-07-27 10:38:18","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7225707/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7225707/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92713590,"identity":"b6d25a74-ac57-48fb-81a8-9020aa961a81","added_by":"auto","created_at":"2025-10-03 11:47:06","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":665700,"visible":true,"origin":"","legend":"","description":"","filename":"c87fccdf05ff4b62bed12ce02c780aa9.v.1.1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7225707/v1_covered_cb4b16ea-303d-45b5-8431-b3eb027b3541.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Dynamic Evaluation Method of Running State of Charging Pile Based on Multi-Source Data of Fault Operation and Maintenance","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Charging pile, Entropy weight method, Health index, Comprehensive evaluation, Analytic hierarchy process","lastPublishedDoi":"10.21203/rs.3.rs-7225707/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7225707/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper proposes a dynamic health status assessment method for charging station faults and operation based on multi-source data, aiming to achieve real-time monitoring and health assessment of charging station operation status through subjective and objective weight optimization and dynamic health scoring. Firstly, by collecting real-time data on the operation status of charging stations, multi-modal abnormal data is filtered using the 3-method and interquartile range method; secondly, missing data is filled using regression analysis, and data is normalized using the minimum-maximum value normalization method; thirdly, a charging station health status assessment system is constructed, combining the entropy weight method and health index as the comprehensive health weight of the analytic hierarchy process to determine the corresponding health level; finally, an engineering example verification is conducted based on the actual charging order data of a power company in Shandong Province in 2024. The practice proves that the proposed method reduces subjective bias through weight fusion and achieves an assessment accuracy of 95%. The entropy weight method compensates for the deficiency of the analytic hierarchy process in being insensitive to data variation, addressing the subjective limitations; the health index introduces the time variable t, enabling the weights to adaptively adjust with equipment aging, which is superior to the static weight model. This method significantly improves the fault diagnosis ability of charging stations and the refinement level of operation and maintenance management.","manuscriptTitle":"Dynamic Evaluation Method of Running State of Charging Pile Based on Multi-Source Data of Fault Operation and Maintenance","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-12 05:56:49","doi":"10.21203/rs.3.rs-7225707/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"356aab5d-c42f-4817-b1fc-6dbfd3ea5f3b","owner":[],"postedDate":"August 12th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":52788840,"name":"Physical sciences/Energy science and technology"},{"id":52788841,"name":"Physical sciences/Engineering"},{"id":52788842,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2025-10-03T11:38:54+00:00","versionOfRecord":[],"versionCreatedAt":"2025-08-12 05:56:49","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7225707","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7225707","identity":"rs-7225707","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}