Multi-Objective Optimization of Design Parameters for Tractor Hydro-Mechanical Continuously Variable Transmissions

Multi-Objective Optimization of Design Parameters for Tractor Hydro-Mechanical Continuously Variable Transmissions | 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 Multi-Objective Optimization of Design Parameters for Tractor Hydro-Mechanical Continuously Variable Transmissions Zhen Zhu, Rui Hou, Hongwei Zhang, Dehai Wang, Long Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4903506/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 17 Apr, 2025 Read the published version in Scientific Reports → Version 1 posted 16 You are reading this latest preprint version Abstract The design parameters of the transmission directly affect the vehicle's dynamics and fuel economy, due to the complexity of the tractor's working conditions and operating modes, the optimization of the transmission design parameters is more difficult. In this paper, an independently designed hydro-mechanical CVT transmission is taken as the research object, and the transmission design parameters are optimized based on the tractor's whole life-cycle speed usage rate, and the multi-objective genetic algorithm is used for optimization and solution. In this paper, the fuel consumption rate and hill climbing degree are taken as the optimization objective function, the parameters that have a greater influence on the optimization objectives are selected as the design variables, and the constraints are determined. A multi-objective genetic algorithm based on the Pareto optimality principle combined with experimental design is used to establish a multi-objective optimization model of the transmission device based on modeFrontier, and a global search for optimality is carried out, and a Pareto optimal solution is finally obtained. The results of the study find the optimal solution under the constraints, reflecting the conflicting characteristics between power and fuel economy. The design variables of the Pareto optimal solution obtained through optimization iterations based on the whole life cycle speed usage rate satisfy the matching requirements of the transmission well. Physical sciences/Engineering/Mechanical engineering Physical sciences/Engineering Hydro-mechanical continuously variable transmission (HMCVT) powertrain Pareto optimal solution modeFrontier optimization Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 17 Apr, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 09 Sep, 2024 Reviews received at journal 07 Sep, 2024 Reviews received at journal 04 Sep, 2024 Reviews received at journal 26 Aug, 2024 Reviewers agreed at journal 23 Aug, 2024 Reviewers agreed at journal 23 Aug, 2024 Reviews received at journal 23 Aug, 2024 Reviewers agreed at journal 23 Aug, 2024 Reviewers agreed at journal 22 Aug, 2024 Reviewers agreed at journal 22 Aug, 2024 Reviewers agreed at journal 22 Aug, 2024 Reviewers invited by journal 22 Aug, 2024 Editor assigned by journal 22 Aug, 2024 Editor invited by journal 20 Aug, 2024 Submission checks completed at journal 18 Aug, 2024 First submitted to journal 12 Aug, 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. 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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-4903506","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":351495372,"identity":"87dd8c6d-ce38-49da-85b8-e6e4fef8fe54","order_by":0,"name":"Zhen Zhu","email":"","orcid":"","institution":"Jiangsu University","correspondingAuthor":false,"prefix":"","firstName":"Zhen","middleName":"","lastName":"Zhu","suffix":""},{"id":351495373,"identity":"4dc933dd-123f-4bd7-b629-ea81b47c259d","order_by":1,"name":"Rui Hou","email":"","orcid":"","institution":"Jiangsu 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In this paper, an independently designed hydro-mechanical CVT transmission is taken as the research object, and the transmission design parameters are optimized based on the tractor's whole life-cycle speed usage rate, and the multi-objective genetic algorithm is used for optimization and solution. In this paper, the fuel consumption rate and hill climbing degree are taken as the optimization objective function, the parameters that have a greater influence on the optimization objectives are selected as the design variables, and the constraints are determined. A multi-objective genetic algorithm based on the Pareto optimality principle combined with experimental design is used to establish a multi-objective optimization model of the transmission device based on modeFrontier, and a global search for optimality is carried out, and a Pareto optimal solution is finally obtained. The results of the study find the optimal solution under the constraints, reflecting the conflicting characteristics between power and fuel economy. 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