Manajemen Energi Hybrid Solar Vehicle

Alfauzan, Yendra (2025) Manajemen Energi Hybrid Solar Vehicle. Doctoral thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perkembangan teknologi kendaraan hibrida dan surya semakin pesat seiring dengan meningkatnya tuntutan efisiensi energi dan penurunan emisi karbon. Hybrid Solar Vehicle (HSV) menjadi salah satu solusi inovatif dengan mengintegrasikan sumber energi terbarukan, seperti panel surya, serta memanfaatkan sistem regenerative braking untuk memaksimalkan efisiensi. Penelitian ini membahas manajemen energi pada HSV dengan menganalisis lima komponen utama konversi energi, yaitu motor listrik, motor bakar, baterai, generator, dan sel surya. Sistem ini mempertimbangkan kontribusi Photovoltaik (PV) dan regenerative braking untuk meningkatkan efisiensi. Metode manajemen energi menggunakan logika fuzzy berbasis rule base yang memproses dua masukan: State of Charge (SOC) baterai (tinggi, medium, rendah) dan daya berkendara (tinggi, medium, rendah). Keluaran sistem menghasilkan lima mode berkendara, yaitu Electric Vehicle Mode, ICE Hybrid Mode, Seri Hybrid Mode, Parallel Hybrid Mode, dan Seri-Parallel Hybrid Mode. Hasil penelitian menunjukkan bahwa SOC awal berpengaruh signifikan terhadap konsumsi bahan bakar, di mana SOC tinggi (0,9) mengurangi konsumsi hingga 0,269 liter, sedangkan SOC rendah (0,4) meningkatkannya menjadi 0,490 liter. Sumber energi terbarukan memberikan kontribusi penting, dengan panel surya menyumbang 15%-23% dari total daya berkendara dan regenerative braking menambah 15%-20% efisiensi. HSV terbukti lebih efisien dibandingkan kendaraan listrik (EV) dan konvensional, dengan pemanfaatan baterai 10%-38% lebih optimal dan penghematan bahan bakar 20%-42%. Fleksibilitas mode berkendara memungkinkan adaptasi optimal terhadap kondisi jalan dan SOC, sehingga meningkatkan efisiensi sistem secara keseluruhan.
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The advancement of hybrid and solar vehicle technology has accelerated in response to increasing demands for energy efficiency and carbon emission reduction. The Hybrid Solar Vehicle (HSV) emerges as an innovative solution by integrating renewable energy sources such as photovoltaic panels and utilizing regenerative braking systems to enhance efficiency. This study investigates energy management in HSVs by analyzing five key energy conversion components: electric motor, internal combustion engine (ICE), battery, generator, and solar cell. The system accounts for the contributions of both photovoltaic (PV) energy and regenerative braking to optimize overall energy efficiency. The energy management strategy is implemented using a rule-based fuzzy logic controller, which processes two input variables: battery State of Charge (SOC) (high, medium, low) and driving power demand (high, medium, low). The output determines five operational driving modes: Electric Vehicle Mode, ICE Hybrid Mode, Series Hybrid Mode, Parallel Hybrid Mode, and Series-Parallel Hybrid Mode. The results demonstrate that the initial SOC significantly influences fuel consumption. A high SOC (0.9) reduces fuel usage to 0.269 liters, while a low SOC (0.4) increases it to 0.490 liters. Renewable energy sources contribute substantially, with solar panels providing 15%–23% of total driving power, and regenerative braking enhancing efficiency by 15%–20%. Compared to conventional and electric vehicles, HSVs exhibit higher efficiency, with battery utilization improved by 10%–38% and fuel savings reaching 20%–42%. The flexibility of driving modes allows for adaptive operation based on road conditions and SOC levels, thereby enhancing overall system efficiency.

Item Type:	Thesis (Doctoral)
Uncontrolled Keywords:	Manajemen Energi, Hybrid Solar Vehicle, Fuel Consumption, SOC, fuzzy logic Energy Management, Hybrid Solar Vehicle, Fuel Consumption, SOC, fuzzy logic
Subjects:	T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Mechanical Engineering > 21001-(S3) PhD Thesis
Depositing User:	Alfauzan Yendra
Date Deposited:	05 Aug 2025 09:38
Last Modified:	05 Aug 2025 09:38
URI:	http://repository.its.ac.id/id/eprint/127336

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