Co-optimization on ecological adaptive cruise control and energy management of automated hybrid electric vehicles

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dc.contributor.authorZhang, Fengqi
dc.contributor.authorQi, Zhicheng
dc.contributor.authorXiao, Lehua
dc.contributor.authorCoskun, Serdar
dc.contributor.authorXie, Shaobo
dc.contributor.authorLiu, Yongtao
dc.contributor.authorLi, Jiacheng
dc.date.accessioned2025-03-17T12:27:18Z
dc.date.available2025-03-17T12:27:18Z
dc.date.issued2025
dc.departmentTarsus Üniversitesi
dc.description.abstractElectrified drive systems and eco-driving technologies play a crucial role in promoting energy conservation. Ecodriving for hybrid electric vehicles(HEVs) is an intricate problem involving intertwined speed planning and energy management. In this context, an ecological adaptive cruise control (eco-ACC) and powertrain energy management strategy considering Signal Phase Timing Message (SPaT) can enhance both performance and realtime implementation. Specifically, this study develops a novel co-optimization method based on Pontryagin's minimum principle (PMP) that combines car-following control rules with the SPaT for a parallel HEV. The methodology involves the following steps: firstly, the parallel HEV model is established; secondly, the safe following distance model is constructed and the car-following control rules are devised to ensure safe driving. Subsequently, the co-optimization method based on PMP is then presented to simultaneously optimize the ecodriving problem of an ego-vehicle by converting the inter-vehicle distance constraint of the lead-vehicle into the limitation of the speed of the ego-vehicle. Finally, simulations are conducted under different scenarios for both fused SPaT and non-fused SPaT strategy. The simulation results demonstrate a reduction in fuel consumption by 6.27% and 5.69 % in two different scenarios, respectively, and a shorter driving time for the fused SPaT strategy compared to the non-fused SPaT strategy.
dc.description.sponsorshipNational Natural Science Foundation of China [52472398]; Fundamental Research Funds for the Central Universities, CHD [300102224101]
dc.description.sponsorshipThis work was partially supported by the National Natural Science Foundation of China (Grant No. 52472398) and the Fundamental Research Funds for the Central Universities, CHD (Grant. No 300102224101) .
dc.identifier.doi10.1016/j.energy.2024.133542
dc.identifier.issn0360-5442
dc.identifier.issn1873-6785
dc.identifier.scopus2-s2.0-85214080800
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.energy.2024.133542
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2183
dc.identifier.volume314
dc.identifier.wosWOS:001399263100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEnergy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectHybrid electric vehicles
dc.subjectEco-driving strategy
dc.subjectCo-optimization
dc.subjectMulti-signalized intersections
dc.subjectEco-ACC
dc.titleCo-optimization on ecological adaptive cruise control and energy management of automated hybrid electric vehicles
dc.typeArticle

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