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Abstract

ABSTRAK


Kendaraan listrik memerlukan Energy Management System (EMS) yang mampu mengelola penggunaan energi secara efisien untuk menjaga performa kendaraan dan kondisi baterai. Penelitian ini bertujuan mengimplementasikan logika fuzzy Mamdani pada EMS kendaraan listrik untuk mengoptimalkan penggunaan energi, meningkatkan efisiensi konsumsi daya, dan menjaga kondisi baterai Lithium-Ion. Sistem dikembangkan menggunakan MATLAB dan Simulink dengan State of Charge (SoC) dan temperatur baterai sebagai masukan, sedangkan keluaran berupa faktor penyesuaian arus. Hasil simulasi menunjukkan bahwa penerapan logika fuzzy meningkatkan SoC akhir menjadi 55,890% dibandingkan 50,288% pada sistem tanpa fuzzy. Selain itu, daya optimal menurun dari 432,8502 W menjadi 187,4026 W, arus keluaran berkurang dari 0,7 A menjadi 0,2972 A, serta SoH akhir meningkat menjadi 99,9958%. Hasil tersebut menunjukkan bahwa logika fuzzy mampu meningkatkan efisiensi penggunaan energi sekaligus menjaga kondisi baterai lebih stabil dibandingkan sistem tanpa fuzzy.


Kata Kunci: Baterai Lithium-Ion, Efisiensi Konsumsi Daya, Energy Management System, Kendaraan Listrik, Logika Fuzzy.


ABSTRACT


Electric vehicles require an Energy Management System (EMS) capable of managing energy efficiently to maintain vehicle performance and battery condition. This study aims to implement the Mamdani fuzzy logic method in an electric vehicle EMS to optimize energy utilization, improve power consumption efficiency, and maintain the condition of Lithium-Ion batteries. The system was developed using MATLAB and Simulink, with State of Charge (SoC) and battery temperature as the input variables, while the output was a current adjustment factor used to regulate power distribution. The simulation results show that the proposed fuzzy logic system increased the final SoC to 55.890%, compared to 50.288% in the conventional system without fuzzy logic. In addition, the optimal power decreased from 432.8502 W to 187.4026 W, the output current was reduced from 0.7 A to 0.2972 A, and the final State of Health (SoH) increased to 99.9958%. These results indicate that the Mamdani fuzzy logic approach improves energy efficiency while maintaining a more stable battery condition than the system without fuzzy logic.


Keywords: Electric Vehicle, Energy Management System, Fuzzy Logic, Lithium-Ion Battery, Power Consumption Efficiency.

Keywords

Baterai energy management system Fuzzy logic kontrol kendaraan listrik

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Copyright (c) 2026 Irzha Irzha Aditya Gyanda, Bambang Suprianto, Amanda Elena Sapiro

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