Economic-social-oriented energy management of plug-in hybrid electric vehicles including social cost of carbon

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dc.authoridCoskun, Serdar/0000-0002-7080-0340
dc.contributor.authorZhang, Tao
dc.contributor.authorPeng, Guozhi
dc.contributor.authorZhang, Yanwei
dc.contributor.authorXie, Shaobo
dc.contributor.authorZhang, Fengqi
dc.contributor.authorSerdar, Coskun
dc.date.accessioned2025-03-17T12:27:17Z
dc.date.available2025-03-17T12:27:17Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractFor plug-in hybrid electric vehicles (PHEVs), conventional energy management strategies (EMSs) incorporate the output of the battery and power sources for energy-saving studies. The source of the battery charge and the social cost of carbon (SCC) associated with carbon emissions result in the economic-social cost of climate and environmental damage, particularly when the battery charge comes from thermal power. Consequently, conventional EMSs cannot improve the efficiency of PHEVs with respect to the SCC from an environment-friendly perspective. Also, overuse of battery charge can provide low-cost vehicular propulsion, but lead to battery aging, implying an associated cost. In this context, the battery discharge and aging are conflicted in the design of EMSs for PHEVs. This paper develops a novel EMS by explicitly considering the social cost of carbon emissions using model predictive control (MPC). The strategy devises the trade -off between the energy consumption cost, battery life loss cost, and social cost of carbon emissions by minimizing their total cost over a specific driving range. The driving cycle is developed based on real -world data in Xi ' an City, and the MPC is employed to assess the performance of EMS in a PHEV bus. Meanwhile, the widely used EMSs are compared in the simulation analysis, including the rule-based strategy, dynamic programming, and Pontryagin ' s minimum principle. Moreover, two sources of thermal power and wind power for the battery charge are conducted and compared. The results demonstrate that the proposed MPC-based EMS can generate the minimum total cost compared to the EMSs only considering the energy consumption and battery aging costs. Compared to thermal power as the source of battery charge, wind power can remarkably lower the total cost using the MPC, achieving a 19.2 % improvement. In addition, the results also demonstrate that the total cost in the case of wind power can be lowered by 24.6 %, 25.7 %, and 27.5 % compared to thermal power for battery charge under the methods of rule-based strategy, Pontryagin ' s minimum principle and dynamic programming, respectively.
dc.description.sponsorshipNational Natural Science Foundation of China [52072047]; Fundamental Research Funds for the Central Universities, CHD [300102221202]
dc.description.sponsorshipThis work was in part supported by the National Natural Science Foundation of China (Grant No. 52072047) , and Fundamental Research Funds for the Central Universities, CHD (Grant No. 300102221202) .
dc.identifier.doi10.1016/j.est.2024.111767
dc.identifier.issn2352-152X
dc.identifier.issn2352-1538
dc.identifier.scopus2-s2.0-85193441462
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.est.2024.111767
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2176
dc.identifier.volume90
dc.identifier.wosWOS:001243570800001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Energy Storage
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250316
dc.subjectPlug-in hybrid electric vehicle
dc.subjectEnergy management
dc.subjectEconomy
dc.subjectSocial cost of carbon
dc.subjectModel predictive control
dc.titleEconomic-social-oriented energy management of plug-in hybrid electric vehicles including social cost of carbon
dc.typeArticle

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