Electric vehicle path optimization research based on charging and switching methods under V2G

Electric vehicle path optimization research based on charging and switching methods under V2G | 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 Electric vehicle path optimization research based on charging and switching methods under V2G Haoran Liu, Aobei Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4767971/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract This paper presents a novel approach to advancing sustainable urban logistics and distribution, focusing on fast charging and power exchange modes as the core research objects. Our key contribution lies in the development of an electric vehicle path optimization model, wherein the primary objective is total cost minimization. Additionally, we leverage V2G technology to enable slow charging and discharging management of electric vehicles upon their return to the distribution center. Furthermore, we introduce a robust calculation method for estimating battery loss costs, taking into account ambient temperature and discharge depth. The logistics distribution model is effectively solved using a genetic algorithm, incorporating both charging modes under the V2G framework. The simulation results demonstrate that our V2G model significantly enhances the operational flexibility of electric vehicle logistics distribution, leading to a substantial reduction in distribution costs. Moreover, it effectively balances peak and valley loads within the distribution system. In this study, we conduct an in-depth analysis of the charging and swapping mode model through experimental comparisons, offering valuable insights to aid decision-making in the logistics sector regarding charging and swapping strategies. Additionally, we investigate the impact of slow charging and discharging management on the distribution system. Furthermore, we perform a comprehensive sensitivity analysis to explore factors influencing battery loss in electric vehicles. Notably, we find a direct correlation between higher temperatures and deeper discharge depths with increased battery loss. Our research introduces a cutting-edge solution to optimize urban logistics, significantly contributing to sustainable development. The proposed model provides critical implications for the logistics industry, driving efficient and eco-friendly practices in electric vehicle distribution. Physical sciences/Engineering/Electrical and electronic engineering Biological sciences/Computational biology and bioinformatics Physical sciences/Energy science and technology Physical sciences/Mathematics and computing Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 28 Dec, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 03 Sep, 2024 Reviews received at journal 25 Aug, 2024 Reviews received at journal 23 Aug, 2024 Reviewers agreed at journal 15 Aug, 2024 Reviewers agreed at journal 15 Aug, 2024 Reviewers invited by journal 15 Aug, 2024 Editor assigned by journal 15 Aug, 2024 Editor invited by journal 26 Jul, 2024 Submission checks completed at journal 25 Jul, 2024 First submitted to journal 19 Jul, 2024 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. 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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-4767971","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":341179280,"identity":"b0787bd0-a91e-409b-82a1-1d2e7a92e920","order_by":0,"name":"Haoran Liu","email":"","orcid":"","institution":"Shenyang University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Haoran","middleName":"","lastName":"Liu","suffix":""},{"id":341179281,"identity":"7db9e72a-9068-4c37-8c53-352d5ae55f96","order_by":1,"name":"Aobei Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2ElEQVRIiWNgGAWjYFACHsYHIJIPymVsIEILswGIZAOxDxCphU0CRBGvRb797LHKnzl2MmwM7M+kPzDYyG44wPzsAT4tjD15abd5tyUDHcZjJnGAIc14wwE2cwN8WpgZcsxuM25jBmlhA2o5nLjhANSpuAAb/xuzwp/b6nlADgNq+U9YC49EjhkD77bDoBADOewAYS0SEu+SpXm3HedhY+YxtjhjkGw88zCbGV4t8v25Bz/+3FZtz8/e/vBGRYWdbN/x5md4tSAAM4gwgDFGwSgYBaNgFFAEAAvRPSpgsUViAAAAAElFTkSuQmCC","orcid":"","institution":"Shenyang University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Aobei","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2024-07-19 12:59:28","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4767971/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4767971/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-024-81449-0","type":"published","date":"2024-12-28T15:57:46+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":72640837,"identity":"49ff42b4-5822-422b-a5eb-2e0c5d4ab4bd","added_by":"auto","created_at":"2024-12-30 16:10:17","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":453570,"visible":true,"origin":"","legend":"","description":"","filename":"ElectricvehiclepathoptimizationresearchbasedonchargingandswitchingmethodsunderV2G.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4767971/v1_covered_6062f115-37fb-4fb9-b8c1-e1037b8b945f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Electric vehicle path optimization research based on charging and switching methods under V2G","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4767971/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4767971/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper presents a novel approach to advancing sustainable urban logistics and distribution, focusing on fast charging and power exchange modes as the core research objects. 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