Novel strategies to reduce engine emissions and improve energy efficiency in hybrid vehicles

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dc.contributor.authorSher, Farooq
dc.contributor.authorChen, Sihong
dc.contributor.authorRaza, Ali
dc.contributor.authorRasheed, Tahir
dc.contributor.authorRazmkhah, Omid
dc.contributor.authorRashid, Tazien
dc.contributor.authorRafi-ul-Shan, Piyya M.
dc.contributor.authorErten, Begüm
dc.date.accessioned2024-06-13T20:17:55Z
dc.date.available2024-06-13T20:17:55Z
dc.date.issued2021
dc.departmentMeslek Yüksekokulu, Gedik Meslek Yüksekokulu, İş Sağlığı ve Güvenliği Programı
dc.description.abstractHybrid electric vehicles (HEV) can provide a same power as gasoline and diesel-powered vehicles while also reducing fuel consumption by 40-50%. However, due to a complex system of HEV, the power control strategies are used to improve the work efficiency, fuel economy and to reduce exhaust emissions. In the present work, four parameters are studied with the main focus on the optimization of power system of a parallel hybrid vehicle. These parameters are the influence of fuzzy logic algorithm on hybrid electric vehicle power train that is acceleration performance, climbing performance, engine efficiency and exhaust gas emissions. First, the vehicle's power train is optimized using the Advanced Vehicle Simulator (ADVISOR). Secondly, by ensuring acceleration and climbing performance, the vehicle manufacturing cost is reduced by reducing the weight of the vehicle. Thirdly, two driving road test conditions, Extra-Urban Driving Cycle (EUDC) and Urban Dynamometer Driving Schedule (UDDS) are used to enhance the fuel consumption efficiency of the vehicle. Using a fuzzy logic algorithm for random operations, the operating range of an internal combustion engine is controlled as much as possible in the most efficient range. Through the control of 121 different algorithms, the operating efficiency of the powertrain is optimized to reduce exhaust emissions and improve fuel efficiency. The results showed that the proposed strategy can reduce fuel consumption by 5%, CO by 50% and improved the operating efficiency of engine by 15%. Not only this control strategy optimizes the efficiency of powertrain, but also the efficiency of the internal combustion engine. Moreover, the motor and battery pack itself can be optimized. These hybrid vehicles can minimize the fuel demand and are the best substitute for the classic internal combustion engines.
dc.identifier.doi10.1016/j.clet.2021.100074
dc.identifier.issn2666-7908
dc.identifier.scopus2-s2.0-85115654630
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.clet.2021.100074
dc.identifier.urihttps://hdl.handle.net/11501/1148
dc.identifier.volume2
dc.identifier.wosWOS:000980915800029
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorErten, Begüm
dc.institutionauthorid0000-0002-7148-6402
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofCleaner Engineering and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectClean Energy
dc.subjectParallel Hybrid Electric Vehicles
dc.subjectEnergy Management
dc.subjectFuzzy Logic Algorithm
dc.subjectOptimization and CO Emissions
dc.titleNovel strategies to reduce engine emissions and improve energy efficiency in hybrid vehicles
dc.typeArticle

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