A Fuzzy Logic-Based Energy Management Approach for Fuel Cell and Photovoltaic Powered Electric Vehicle Charging Station in DC Microgrid Operations
| dc.authorid | 0000-0002-5136-0829 | |
| dc.authorid | 0000-0001-9665-6650 | |
| dc.contributor.author | Cakmak, Recep | |
| dc.contributor.author | Bayrak, Gokay | |
| dc.contributor.author | Koc, Mehmet | |
| dc.date.accessioned | 2026-02-08T15:15:41Z | |
| dc.date.available | 2026-02-08T15:15:41Z | |
| dc.date.issued | 2025 | |
| dc.department | Bursa Teknik Üniversitesi | |
| dc.description.abstract | Hydrogen and electric vehicles (EVs) stand out as two promising technologies with the potential to revolutionize the future of transportation. The adoption of hydrogen and EVs indicates a noteworthy shift in the transportation paradigm, offering the prospect of reshaping this sector. This paper introduces an energy management approach based on fuzzy logic for a charging station that combines fuel cell (FC) and photovoltaic (PV) to power electric vehicles (EVs). The study emphasizes developing and simulating a fuzzy logic-based energy management system tailored for DC microgrid operations, including on-grid and islanded microgrid schemes. The system is designed and simulated in a digital simulation environment. The findings indicate that the fuzzy logic approach significantly enhances the performance of PV and FC-based EV charging stations. This research contributes to developing sustainable and efficient solutions for integrating electric vehicles and hydrogen-powered supply systems. | |
| dc.identifier.doi | 10.1109/ACCESS.2025.3552253 | |
| dc.identifier.endpage | 49921 | |
| dc.identifier.issn | 2169-3536 | |
| dc.identifier.scopus | 2-s2.0-105001543053 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 49905 | |
| dc.identifier.uri | https://doi.org/10.1109/ACCESS.2025.3552253 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12885/5896 | |
| dc.identifier.volume | 13 | |
| dc.identifier.wos | WOS:001453644600006 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Ieee-Inst Electrical Electronics Engineers Inc | |
| dc.relation.ispartof | Ieee Access | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | WOS_KA_20260207 | |
| dc.subject | Electric vehicle charging | |
| dc.subject | energy management | |
| dc.subject | fuel cell | |
| dc.subject | fuzzy logic | |
| dc.subject | photovoltaic power systems | |
| dc.subject | energy management | |
| dc.subject | fuel cell | |
| dc.subject | fuzzy logic | |
| dc.subject | photovoltaic power systems | |
| dc.title | A Fuzzy Logic-Based Energy Management Approach for Fuel Cell and Photovoltaic Powered Electric Vehicle Charging Station in DC Microgrid Operations | |
| dc.type | Article |












