Arif, Satria Fajar (2025) Simulasi Sistem Manajemen Energi Berbasis Determinasi Ruled Based pada Hybrid Electric Vehicle Seri Paralel Menggunakan MATLAB/SIMULINK dengan Variasi Driving Cycle dan SOC Awal Berkendara. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kendaraan hybrid seri-paralel (HEV) memiliki potensi efisiensi tinggi, namun tanpa sistem kontrol yang memadai seperti Energy Management System (EMS), kinerjanya tidak optimal karena distribusi daya yang tidak seimbang antara mesin dan baterai. EMS berperan sebagai unit pengendali untuk mengatur aliran daya secara dinamis, menjaga efisiensi dan kinerja kendaraan. Penelitian ini bertujuan menganalisis pengaruh strategi EMS berbasis aturan (ruled-based) terhadap efisiensi energi, konsumsi bahan bakar, dan biaya operasional HEV dibandingkan kendaraan konvensional. Analisis dilakukan dengan memvariasikan tiga siklus mengemudi (EUDC, US06, dan UDDS) dan tiga kondisi State of Charge (SOC) awal (0,8; 0,5; 0,3). Model kendaraan dikembangkan dengan pendekatan quasi-static di MATLAB/Simulink, mencakup mode EV, charging, paralel, dan seri-paralel. Hasil simulasi menunjukkan kinerja HEV dipengaruhi oleh SOC awal dan karakteristik siklus mengemudi. Pada siklus perkotaan (UDDS) dengan SOC 0,8, HEV mencapai efisiensi traksi hingga 93,54%, jauh lebih baik dibandingkan kendaraan konvensional (29%). Sebaliknya, pada siklus agresif (US06) dengan SOC 0,8, efisiensi HEV turun menjadi 75,9%, cukup jauh jika dibandingkan dengan UDDS karena ICE yang sering aktif pada siklus US06. Terlihat juga pada SOC 0,3 siklus EUDC tidak mengalami kerugian, karena cara berkendaranya yang relatif konstan di jalan tol, berbeda dengan US06 dan UDDS yang mengalami kerugian. Secara umum, strategi EMS mampu menjaga ICE beroperasi pada titik efisiensi optimal. Temuan ini menegaskan bahwa efektivitas HEV sangat bergantung pada manajemen SOC dan pola berkendara, serta membuka peluang pengembangan EMS adaptif lainnya.
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Series-parallel Hybrid Electric Vehicles (HEVs) offer high efficiency potential; however, without an adequate control system such as an Energy Management System (EMS), their performance becomes suboptimal due to an unbalanced power distribution between the engine and the battery. EMS functions as a central control unit that dynamically manages power flow to maintain vehicle efficiency and performance. This study aims to analyze the impact of a rule-based EMS strategy on energy efficiency, fuel consumption, and operational costs of HEVs compared to conventional vehicles. The analysis was conducted by varying three driving cycles (EUDC, US06, and UDDS) and three initial State of Charge (SOC) levels (0.8, 0.5, and 0.3). The vehicle model was developed using a quasi-static approach in MATLAB/Simulink, incorporating EV, charging, parallel, and series-parallel modes. Simulation results indicate that HEV performance is strongly influenced by the initial SOC and the characteristics of the driving cycle. In the urban driving cycle (UDDS) with SOC 0.8, HEV achieved a traction efficiency of up to 93.54%, significantly outperforming conventional vehicles (29%). Conversely, in the aggressive US06 cycle with SOC 0.8, HEV efficiency dropped to 75.9%, mainly due to frequent ICE activation under high-demand conditions. Interestingly, with SOC 0.3, the EUDC cycle did not result in a loss, as its relatively constant speed profile on highways mitigates energy imbalance, unlike US06 and UDDS, which exhibited operational losses. Overall, the rule-based EMS strategy successfully maintained ICE operation near its optimal efficiency point. These findings emphasize that HEV effectiveness largely depends on proper SOC management and driving patterns, highlighting opportunities for developing more adaptive EMS strategies
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Energi Manajemen Sistem, Kendaraan Hybrid Seri Paralel, SoC, Energy Management System, Paralel Series Hybrid Vehicle, SoC |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ217 Adaptive control systems T Technology > TJ Mechanical engineering and machinery > TJ700 Traction engines, etc. |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Mechanical Engineering > 21201-(S1) Undergraduate Thesis |
| Depositing User: | Satria Fajar Arif |
| Date Deposited: | 01 Aug 2025 02:54 |
| Last Modified: | 01 Aug 2025 02:54 |
| URI: | http://repository.its.ac.id/id/eprint/125290 |
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