Al-haq, Muhammad Zulfi Huda (2025) Perancangan Sistem Pendingin Kontroler Motor pada Mobil Listrik dengan Metode Logika Fuzzy. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dalam perkembangan teknologi otomotif mobil listrik, kontroler motor menjadi salah satu komponen utama yang berfungsi mengatur daya menuju motor penggerak, sehingga banyak mengkonsumsi energi dan menghasilkan panas. Untuk menjaga suhu tetap stabil, diperlukan sistem pendingin yang efisien. Sistem pendingin konvensional memiliki kelemahan dalam konsumsi energi yang tinggi dan kurang optimal dalam mengatur kecepatan pompa pendingin. Penelitian ini bertujuan untuk merancang sistem pendingin berbasis pengendali logika fuzzy untuk menigkatkan efisiensi energi sekaligus menjaga suhu kontroler motor tetap ideal. Sistem fuzzy yang dirancang berhasil menjawab tujuan penelitian dengan menyesuaikan kecepatan pompa ecara otomatis berdasarkan suhu yang terdeteksi, sehingga mampu menghemat konsumsi daya tanpa mengorbankan performa pendinginan. Hasil pengujian menunjukkan bahwa sistem fuzzy mampu menjaga suhu kontroler motor stabil pada kisaran 44–45 °C dengan konsumsi daya rata-rata hanya 9,15 W, lebih hemat hingga 25% dibandingkan sistem konvensional yaitu sebesar 12,25 W. Evaluasi performa menggunakan nilai Overall Cooling Performance Index (OCPI) rata-rata menunjukkan bahwa sistem konvesional memiliki OCPI sebesar 0,85, sistem ON-OFF sebesar 0,60, dan sistem fuzzy logic mencapai nilai tertinggi sebesar 0,87. Hal ini menunjukkan bahwa sistem fuzzy tidak hanya lebih hemat energi, tetapi juga mampu memberikan performa pendinginan yang optimal.
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In the development of electric vehicle technology, the motor controller is a key component that regulates power delivery to the drive motor, resulting in high energy consumption and heat generation. To maintain temperature stability, an efficient cooling system is essential. Conventional cooling systems are often energy-intensive and lack optimal control over pump speed. This study aims to design a cooling system based on fuzzy logic control to improve energy efficiency while maintaining an ideal motor controller temperature. The proposed fuzzy system achieves this goal by automatically adjusting the pump speed according to the detected temperature, thereby reducing power consumption without compromising cooling performance. Experimental results show that the fuzzy system maintains the motor controller temperature within 44–45 °C with an average power consumption of only 9.15 W—approximately 25% more efficient than the conventional system, which consumes 12.25 W. Performance evaluation using the Overall Cooling Performance Index (OCPI) indicates that the conventional system achieves an average OCPI of 0.85, the ON-OFF system scores 0.60, and the fuzzy logic system attains the highest score of 0.87. These results demonstrate that the fuzzy-based cooling system not only saves energy but also provides optimal cooling performance.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Kontroler Motor, Sistem Pendingin, Logika Fuzzy, Efisiensi Energi |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic |
| Divisions: | Faculty of Vocational > 36304-Automation Electronic Engineering |
| Depositing User: | Muhammad Zulfi Huda Al-haq |
| Date Deposited: | 07 Aug 2025 02:13 |
| Last Modified: | 07 Aug 2025 02:13 |
| URI: | http://repository.its.ac.id/id/eprint/127821 |
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