ALSSA-PID control-based wheel-side motor control system for four-wheel-drive electric vehicles

ALSSA-PID control-based wheel-side motor control system for four-wheel-drive electric vehicles | 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 Research Article ALSSA-PID control-based wheel-side motor control system for four-wheel-drive electric vehicles Xiaoguang XU, Jiale DING, Ping XIAO, Miao WANG, Xiaoyu ZHANG This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4603020/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 29 Oct, 2024 Read the published version in Electrical Engineering → Version 1 posted 12 You are reading this latest preprint version Abstract To enhance the response speed and accuracy of the motor in a four-wheel side motor-driven electric vehicle for improved vehicle handling stability, this paper proposes a chaotic adaptive sparrow-optimized PID control algorithm. Firstly, the structural principles of the four-wheel side motor-driven electric vehicle are analyzed. A mathematical model and a simulation model of the electric vehicle are established, and the accuracy of the model is verified through simulation experiments. Subsequently, the traditional sparrow algorithm is improved using Logistic-Tent chaotic mapping, adaptive search parameters, and the Levy flight strategy. These modifications enable the algorithm to escape local optima and achieve better convergence speed and accuracy. Based on these improvements, the ALSSA-PID control algorithm is developed, and the motor model is simulated and tested. Finally, a physical control platform for the wheel-edge motor is constructed to test the control algorithm. The results indicate that the rise time of the ALSSA-PID control algorithm is reduced by an average of 40.59% and 5.66% compared to open-loop control and SSA-PID control at various control speeds, respectively, while the stabilization time is reduced by an average of 27.72% and 15.59%. These findings demonstrate that the proposed control algorithm significantly improves the control performance of the wheel-edge motor control system. Chaotic Adaptive Sparrow Algorithm Micro Electric Vehicle Wheel Side Motor PID Control Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 29 Oct, 2024 Read the published version in Electrical Engineering → Version 1 posted Editorial decision: Revision requested 01 Jul, 2024 Reviews received at journal 01 Jul, 2024 Reviewers agreed at journal 28 Jun, 2024 Reviews received at journal 27 Jun, 2024 Reviewers agreed at journal 25 Jun, 2024 Reviewers agreed at journal 23 Jun, 2024 Reviewers agreed at journal 23 Jun, 2024 Reviewers agreed at journal 23 Jun, 2024 Reviewers invited by journal 23 Jun, 2024 Editor assigned by journal 20 Jun, 2024 Submission checks completed at journal 20 Jun, 2024 First submitted to journal 19 Jun, 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-4603020","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":321456178,"identity":"a265977d-e376-42d2-acfd-68c2ea09c6f1","order_by":0,"name":"Xiaoguang XU","email":"","orcid":"","institution":"Anhui Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Xiaoguang","middleName":"","lastName":"XU","suffix":""},{"id":321456179,"identity":"920c2adb-e751-4d93-8b8e-f0b10812deb4","order_by":1,"name":"Jiale DING","email":"","orcid":"","institution":"Anhui Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Jiale","middleName":"","lastName":"DING","suffix":""},{"id":321456180,"identity":"9a31f6f9-fb2c-4809-bdfb-cffbe93b743e","order_by":2,"name":"Ping XIAO","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAz0lEQVRIiWNgGAWjYDACdiD++MeGwQDMYyNCBw8zAwPjzIY0ErUw8zYcJkGLPTOP2WPeHeflzaV7DBg+lB1m4J/dQMgWtnTDuWduG+6cc8aAcca5wwwSdw4Q0sJ8TOIN223GDTdyDJh524AulEggpIWxTYKH7Zw9WMtf4rQwH5PkbTuQCNbCSJSWw0C/zDiTnLzhzrGCgz3n0nkkbhDQwt7eY/bgQ4Wd7YbbzRsf/CizluOfQUALAzwuJBgYDoCsJageRcsoGAWjYBSMAqwAAEBMQNI2hEw9AAAAAElFTkSuQmCC","orcid":"","institution":"Anhui Polytechnic University","correspondingAuthor":true,"prefix":"","firstName":"Ping","middleName":"","lastName":"XIAO","suffix":""},{"id":321456181,"identity":"66cd19a7-3782-4ffb-92bb-b1ad5187e3fb","order_by":3,"name":"Miao WANG","email":"","orcid":"","institution":"Anhui Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Miao","middleName":"","lastName":"WANG","suffix":""},{"id":321456182,"identity":"14e7f392-dda3-4168-85f3-67b41393db24","order_by":4,"name":"Xiaoyu ZHANG","email":"","orcid":"","institution":"Anhui Polytechnic University","correspondingAuthor":false,"prefix":"","firstName":"Xiaoyu","middleName":"","lastName":"ZHANG","suffix":""}],"badges":[],"createdAt":"2024-06-19 04:08:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4603020/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4603020/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00202-024-02712-1","type":"published","date":"2024-10-29T16:20:12+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":68207222,"identity":"03f101b5-6864-4486-b55a-bd764e9cefe0","added_by":"auto","created_at":"2024-11-04 16:35:58","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1700120,"visible":true,"origin":"","legend":"","description":"","filename":"ALSSAPIDcontrolbasedwheelsidemotorcontrolsystemforfourwheeldriveelectricvehicles.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4603020/v1_covered_1bdd7980-e778-4009-a68a-a65cf450954b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"ALSSA-PID control-based wheel-side motor control system for four-wheel-drive electric vehicles","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":"electrical-engineering","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"elen","sideBox":"Learn more about [Electrical Engineering](http://link.springer.com/journal/202)","snPcode":"202","submissionUrl":"https://submission.nature.com/new-submission/202/3","title":"Electrical Engineering","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Chaotic Adaptive Sparrow Algorithm, Micro Electric Vehicle, Wheel Side Motor, PID Control","lastPublishedDoi":"10.21203/rs.3.rs-4603020/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4603020/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTo enhance the response speed and accuracy of the motor in a four-wheel side motor-driven electric vehicle for improved vehicle handling stability, this paper proposes a chaotic adaptive sparrow-optimized PID control algorithm. Firstly, the structural principles of the four-wheel side motor-driven electric vehicle are analyzed. A mathematical model and a simulation model of the electric vehicle are established, and the accuracy of the model is verified through simulation experiments. Subsequently, the traditional sparrow algorithm is improved using Logistic-Tent chaotic mapping, adaptive search parameters, and the Levy flight strategy. These modifications enable the algorithm to escape local optima and achieve better convergence speed and accuracy. Based on these improvements, the ALSSA-PID control algorithm is developed, and the motor model is simulated and tested. Finally, a physical control platform for the wheel-edge motor is constructed to test the control algorithm. 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