Grey Wolf Optimization Algorithm-Based Hybrid Energy Storage System Controller Design for Electric Vehicles

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dc.contributor.authorBoya, Aydın
dc.contributor.authorKabalcı, Yasin
dc.contributor.authorKabalcı, Ersan
dc.date.accessioned2024-11-07T13:16:56Z
dc.date.available2024-11-07T13:16:56Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractElectric vehicles (EVs) present several benefits over conventional internal combustion engine vehicles. They emit zero tailpipe emissions, thereby aiding in the reduction of air pollution and the mitigation of climate change. In addition, EVs tend to have lower operating expenses due to cheaper electricity compared to gasoline or diesel. They also provide a smoother and quieter driving experience. Furthermore, EVs help promote energy independence by decreasing dependence on fossil fuels. Overall, they represent a cleaner, more sustainable transportation option for the future. However, EVs encounter some important constraints such as inefficiency of energy consumption management, charging time, and battery range problems. To address these challenges, hybrid energy storage systems (HESSs) offer a solution by combining different energy storage technologies. These systems can improve energy efficiency, reduce charging times, and extend the driving range of EVs, making them more practical and appealing to consumers. In this study, a new controller design is realized using the grey wolf optimization (GWO) algorithm, and the energy consumption demands of EV HESS are optimized with the designed system. The performance results of the proposed system are compared with other energy management systems in the literature, and it is concluded from this study that the proposed system is much superior to previous methods and typically reduces energy consumption by 12.88%.
dc.identifier.doi10.29109/gujsc.1475819
dc.identifier.endpage439
dc.identifier.issn2147-9526
dc.identifier.issue3
dc.identifier.startpage428
dc.identifier.trdizinid1268182
dc.identifier.urihttps://doi.org/10.29109/gujsc.1475819
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1268182
dc.identifier.urihttps://hdl.handle.net/11480/12677
dc.identifier.volume12
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofGazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241107
dc.subjectElectric vehicles
dc.subjectgrey wolf optimization
dc.subjectmetaheuristic algorithm
dc.subjecthybrid energy storage systems
dc.titleGrey Wolf Optimization Algorithm-Based Hybrid Energy Storage System Controller Design for Electric Vehicles
dc.typeArticle

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