Incorporated vehicle lateral control strategy for stability and enhanced energy saving in distributed drive hybrid bus

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dc.authoridCoskun, Serdar/0000-0002-7080-0340
dc.contributor.authorLi, Lin
dc.contributor.authorCoskun, Serdar
dc.contributor.authorLangari, Reza
dc.contributor.authorXi, Junqiang
dc.date.accessioned2025-03-17T12:27:26Z
dc.date.available2025-03-17T12:27:26Z
dc.date.issued2021
dc.departmentTarsus Üniversitesi
dc.description.abstractVehicle stability and energy efficiency are important considerations in vehicle engineering. In this context, the current paper presents an energy saving strategy for hybrid electric vehicles that incorporates vehicle lateral dynamic control in conjunction with energy efficiency. To this end, we first model the nonlinear vehicle lateral dynamics of a hybrid electric bus via a Takagi-Sugeno approach and combine this model with an H-infinity state-feedback controller via parallel distributed compensation. The controller matrices are obtained using linear matrix inequalities through an optimal energy-to-energy performance norm of the nonlinear vehicle model. Second, we propose a reference side-slip angle generating method and a set of tire force distribution rules, which under the premise of ensuring vehicle stability, minimize the overall energy consumption of the vehicle. Finally, we put forward a new speed prediction method based on vehicle lateral dynamics for hybrid electric vehicle energy saving. Human-in-the-loop simulated driving experiments are conducted where the bus performs lane-changing maneuvers with enhanced control properties under various driving conditions, demonstrating the reliability of the proposed energy-saving performance measures. (C) 2021 Published by Elsevier B.V.
dc.description.sponsorshipMinistry of National Education of Turkey [1416]; Scientific and Technological Research Council of Turkey [121E260]; China Scholarship Council [201706030054]; Northeast Forestry University, China
dc.description.sponsorshipThis research work is supported in part by the Ministry of National Education of Turkey with the Law number 1416, under the grant name Graduate Studies Scholarship in the United States and the Scientific and Technological Research Council of Turkey with the project number 121E260, under the grant name CAREER, in part by the China Scholarship Council No.201706030054 and Northeast Forestry University, China.
dc.identifier.doi10.1016/j.asoc.2021.107617
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85109505014
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2021.107617
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2256
dc.identifier.volume111
dc.identifier.wosWOS:000729971800012
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofApplied Soft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectDistributed driving vehicles
dc.subjectHybrid electric vehicles
dc.subjectNonlinear bus model
dc.subjectFuzzy H-infinity control
dc.subjectSpeed prediction
dc.subjectTire force allocation
dc.titleIncorporated vehicle lateral control strategy for stability and enhanced energy saving in distributed drive hybrid bus
dc.typeArticle

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