Sukatio, Naca Kusuma Wijaya (2025) Simulasi Sistem Manajemen Energi Berbasis Determinasi Ruled-Based pada Kendaraan Listrik Hybrid Seri menggunakan MATLAB/Simulink dengan Variasi Driving Cycle dan SOC Awal Berkendara. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kendaraan listrik hybrid seri (SHEV) memiliki potensi efisiensi tinggi, namun tanpa sistem kontrol cerdas, kinerjanya menjadi tidak optimal. Tanpa Energy Management System (EMS), kendaraan akan kesulitan menyeimbangkan penggunaan energi dari baterai dan mesin, yang berakibat pada pemborosan bahan bakar dan performa yang tidak konsisten. EMS berfungsi sebagai unit kontrol pusat yang mengatur aliran daya secara dinamis untuk memaksimalkan efisiensi. Penelitian ini bertujuan untuk menganalisis secara kuantitatif pengaruh strategi EMS berbasis aturan (rule-based) terhadap efisiensi dan performa SHEV dibandingkan kendaraan konvensional. Analisis dilakukan dengan memvariasikan tiga siklus mengemudi (UDDS, EUDC, US06) dan tiga kondisi State of Charge (SOC) awal (90%, 60%, 30%). Model kendaraan dikembangkan menggunakan MATLAB/Simulink dengan pendekatan quasi-static, yang mengintegrasikan mode operasi Battery, Bypass, Combined, dan Peak. Hasil simulasi menunjukkan bahwa kinerja SHEV sangat bergantung pada kondisi operasional. Pada siklus urban (UDDS) dengan SOC awal 90%, SHEV mencapai efisiensi traksi 90% dengan konsumsi bahan bakar 0 L, jauh melampaui efisiensi kendaraan konvensional (23%). Sebaliknya, pada siklus agresif (US06) dengan SOC awal 30%, efisiensi SHEV turun drastis menjadi 30%, hampir setara dengan konvensional (29%), dan biaya operasionalnya menjadi lebih mahal. Di sebagian besar skenario, strategi EMS terbukti berhasil menjaga kesehatan baterai dan mengoperasikan ICE pada titik efisiensi puncaknya. Penelitian ini menyimpulkan bahwa efektivitas dan keuntungan ekonomis SHEV sangat ditentukan oleh kondisi SOC awal dan agresivitas siklus berkendara, serta memberikan data penting untuk pengembangan EMS yang adaptif. Kinerja superior pada SOC awal yang tinggi mengindikasikan bahwa arsitektur ini sangat cocok untuk aplikasi Plug-in Hybrid.
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Series hybrid electric vehicles (SHEVs) possess high-efficiency potential, but their performance is suboptimal without an intelligent control system. Without an Energy Management System (EMS), the vehicle would struggle to balance energy usage between the battery and the engine, leading to fuel waste and inconsistent performance. The EMS serves as the central control unit that dynamically manages power flow to maximize efficiency. This study aims to quantitatively analyze the impact of a rule-based Energy Management System (EMS) strategy on the efficiency and performance of an SHEV compared to a conventional vehicle. The analysis was conducted by varying three driving cycles (UDDS, EUDC, US06) and three initial State of Charge (SOC) conditions (90%, 60%, and 30%). The vehicle model was developed using MATLAB/Simulink with a quasi-static approach, integrating Battery, Bypass, Combined, and Peak operating modes. Simulation results indicate that SHEV performance is highly dependent on operational conditions. In the urban cycle (UDDS) with a 90% initial SOC, the SHEV achieved a traction efficiency of 90% with 0 L fuel consumption, far surpassing the conventional vehicle's efficiency (23%). Conversely, in the aggressive cycle (US06) with a 30% initial SOC, the SHEV's efficiency dropped drastically to 30%, nearly equivalent to the conventional vehicle (29%), and its operational cost became more expensive. In most scenarios, the EMS strategy proved successful in maintaining battery health and operating the ICE at its peak efficiency point. This study concludes that the effectiveness and economic advantages of an SHEV are strongly determined by the initial SOC and the aggressiveness of the driving cycle, providing crucial data for the development of adaptive EMS. The superior performance at high initial SOC indicates that this architecture is highly suitable for Plug-in Hybrid applications.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | kendaraan Listrik hybrid seri, MATLAB/Simulink, EMS, driving cycle, SOC, series hybrid electric vehicle, MATLAB/Simulink, EMS, driving cycle, SOC |
| Subjects: | T Technology > T Technology (General) > T57.62 Simulation T Technology > TJ Mechanical engineering and machinery > TJ223.P76 Programmable controllers T Technology > TJ Mechanical engineering and machinery > TJ785 Internal combustion engines. Spark ignition T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL221.5 Hybrid Vehicles. Hybrid cars |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Mechanical Engineering > 21201-(S1) Undergraduate Thesis |
| Depositing User: | Naca Kusuma Wijaya Sukatio |
| Date Deposited: | 01 Aug 2025 01:53 |
| Last Modified: | 01 Aug 2025 01:53 |
| URI: | http://repository.its.ac.id/id/eprint/124803 |
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