Maghfiroh, Hari and Wahyunggoro, Oyas and Cahyadi, A.I. (2023) Energy Management of Dual-Sources Electric Vehicles Using Adaptive Low-Pass Filter. In: 2023 International Conference on Technology and Policy in Energy and Electric Power (ICT-PEP), 02-03 October 2023, Jakarta.
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Abstract
The electric vehicle (EV) is typically regarded as the most practical solution to environmental issues. However, this green vehicle has several significant issues, including autonomy, size, battery expense, and a short battery lifetime. Supercapacitors (SC) offer energy performance that makes it possible to go around the constraints of batteries. It can be utilized to create a Hybrid Energy Storage System (HESS). The Energy Management Strategy (EMS) has a significant role in HESS to make sure that the energy is distributed optimally. In this study, the Adaptive low-pass filter (ALPF) is proposed to improve the performance of the fixed cut-off LPF method. The simulation test shows that compared to the battery-only EV, the HESS with ALPF can reduce the peak current by up to 24.00%. Whereas ALPF can use SC power more effectively compared to LPF with lower peak current.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Library Dosen |
Uncontrolled Keywords: | electric vehicle, hybrid energy source, filter, adaptive |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering > Electrical and Information Technology Department |
Depositing User: | Rita Yulianti Yulianti |
Date Deposited: | 14 Aug 2024 04:41 |
Last Modified: | 14 Aug 2024 04:41 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/87 |