A comparative study of energy management systems under connected driving: cooperative car-following case

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dc.contributor.authorYazar, Ozan
dc.contributor.authorCoskun, Serdar
dc.contributor.authorZhang, Fengqi
dc.contributor.authorLi, Lin
dc.date.accessioned2025-03-17T12:22:53Z
dc.date.available2025-03-17T12:22:53Z
dc.date.issued2022
dc.departmentTarsus Üniversitesi
dc.description.abstractIn this work, we propose connected energy management systems for a cooperative hybrid electric vehicle (HEV) platoon. To this end, cooperative driving scenarios are established under different car-following behavior models using connected and automated vehicles technology, leading to a cooperative cruise control system (CACC) that explores the energy-saving potentials of HEVs. As a real-time energy management control, an equivalent consumption minimization strategy (ECMS) is utilized, wherein global energy-saving is achieved to promote environment-friendly mobility. The HEVs cooperatively communicate and exchange state information and control decisions with each other by sixth-generation vehicle-to-everything (6G-V2X) communications. In this study, three different car-following behavior models are used: intelligent driver model (IDM), Gazis–Herman–Rothery (GHR) model, and optimal velocity model (OVM). Adopting cooperative driving of six Toyota Prius HEV platoon scenarios, simulations under New European Driving Cycle (NEDC), Worldwide Harmonized Light Vehicle Test Procedure (WLTP), and Highway Fuel Economy Test (HWFET), as well as human-in-the-loop (HIL) experiments, are carried out via MATLAB/Simulink/dSPACE for cooperative HEV platooning control via different car-following-linked-vehicle scenarios. The CACC-ECMS scheme is assessed for HEV energy management via 6G-V2X broadcasting, and it is found that the proposed strategy exhibits improvements in vehicular driving performance. The IDM-based CACC-ECMS is an energy-efficient strategy for the platoon that saves: (i) 8.29% fuel compared to the GHR-based CACC-ECMS and 10.47% fuel compared to the OVMbased CACC-ECMS under NEDC; (ii) 7.47% fuel compared to the GHR-based CACC-ECMS and 11% fuel compared to the OVM-based CACC-ECMS under WLTP; (iii) 3.62% fuel compared to the GHR-based CACC-ECMS and 4.22% fuel compared to the OVM-based CACC-ECMS under HWFET; and (iv) 11.05% fuel compared to the GHR-based CACC-ECMS and 18.26% fuel compared to the OVM-based CACC-ECMS under HIL. © The Author(s) 2022.
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (121E260)
dc.identifier.doi10.20517/ces.2022.06
dc.identifier.issn2770-6249
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85139977951
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.20517/ces.2022.06
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1447
dc.identifier.volume2
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherOAE Publishing Inc.
dc.relation.ispartofComplex Engineering Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20250316
dc.subjectcar-following models
dc.subjectconnected and automated vehicles
dc.subjectenergy management
dc.subjectequivalent consumption minimization strategy
dc.subjectHybrid electric vehicles
dc.titleA comparative study of energy management systems under connected driving: cooperative car-following case
dc.typeArticle

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