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| تعداد مشاهده مقاله | 5,513,221 |
| تعداد دریافت فایل اصل مقاله | 3,771,361 |
Designing an Energy Management Control System in Hybrid Vehicles Using an Optimized Fuzzy Method | ||
| Journal of Operation and Automation in Power Engineering | ||
| دوره 12، Special Issue (Open)، 2024 | ||
| نوع مقاله: Research paper | ||
| شناسه دیجیتال (DOI): 10.22098/joape.2024.17112.2334 | ||
| نویسندگان | ||
| Sherzod Khalilov* 1؛ Sitorabonu Abdiganiyeva2؛ Abdullah Abed Hussein3؛ Jamal K. Abbas4؛ Ali Ashoor Issa5؛ Hussam abdali abdulridui6؛ Hassan Khalid Abozibid7؛ Sadiq Naama Henedy8؛ Sardor Ganiyev2؛ Shoh-Jakhon Khamdamov9؛ Samadova Nargiza Rasulovna10 | ||
| 1Head of the Accounting Department, Associate professor of International School of Finance Technology and Science, Tashkent, Uzbekistan; | ||
| 2Associate professor of International School of Finance Technology and Science, Tashkent, Uzbekistan; | ||
| 3department of sciences/ Al-Manara College For Medical Sciences/ (Maysan)/Iraq | ||
| 4Al-Nisour University College, Nisour Seq. Karkh, Baghdad, Iraq | ||
| 5College of Technical Engineering, National University of Science and Technology, Dhi Qar, 64001, Iraq | ||
| 6Al-Hadi University College, Baghdad,10011, Iraq | ||
| 7Al-Zahrawi University College, Karbala, Iraq | ||
| 8Mazaya University College/ Iraq | ||
| 9PhD, Associate Professor, Mamun University, Khiva City, 220900, Uzbekistan | ||
| 10Tashkent State University of Economics 49, Islam Karimov str., 100066, Tashkent, Uzbekistan | ||
| چکیده | ||
| Improving fuel efficiency and enhancing the dynamic performance of hybrid electric vehicles are critical challenges in modern powertrain control design. This paper proposes a novel optimized fuzzy logic-based energy management strategy specifically developed for a Class B HEV. The main objective is to reduce fuel consumption and emissions while ensuring effective power distribution among key drivetrain components. The study introduces a two-stage methodology: first, an optimal sizing of the powertrain components—internal combustion engine, electric motor, and battery—is achieved using a genetic algorithm, ensuring the most efficient configuration for vehicle performance. Second, three different energy management strategies are implemented and compared: a conventional rule-based control, a standard fuzzy logic controller, and the proposed optimized fuzzy controller. Simulation results demonstrate that the optimized fuzzy strategy significantly improves fuel economy and emission performance compared to the other methods. Specifically, it achieves up to 20% better fuel efficiency than the rule-based controller while maintaining smooth power transitions. The study also highlights the impact of component sizing on control effectiveness, reinforcing the advantage of co-optimization of both sizing and control logic. The findings suggest that integrating intelligent optimization techniques such as GA with fuzzy control logic provides a superior approach to energy management in HEVs. This makes the proposed method a promising solution for next-generation hybrid vehicle applications aiming for both environmental sustainability and high performance. | ||
| کلیدواژهها | ||
| Hybrid electric vehicle؛ energy management strategy؛ fuzzy logic controller؛ genetic algorithm؛ power train optimization؛ fuel efficiency؛ emissions reduction | ||
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آمار تعداد مشاهده مقاله: 28 |
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