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Title: | Optimising EV Efficiency with Hybrid Energy Storage and Advanced Control Strategies |
Authors: | Farrag, M Lai, CS Darwish, M |
Keywords: | electric vehicle;hybrid energy storage system;battery;supercapacitor;performance;simulation |
Issue Date: | 2-Sep-2024 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Farrag, M., Lai, C.S. and Darwish, M. (2024) 'Optimising EV Efficiency with Hybrid Energy Storage and Advanced Control Strategies', 2024 59th International Universities Power Engineering Conference, UPEC 2024, Cardiff, UK, 2-6 September, pp. 1 - 6. doi: 10.1109/UPEC61344.2024.10892583. |
Abstract: | This study examines a hybrid energy storage system (HESS) that integrates Lithium-Ion Batteries (LIB) with Supercapacitors (SCs). The HESS is built with a completely active topology that guarantees precise regulation of energy flow. Comparison of Proportional-Integral (PI) and Online Radial Basis Function (RBF) controllers is conducted via simulations are performed utilising representative driving cycles. The Online RBF controller surpasses the PI controller by reducing power losses and ensuring stable State of Charge (SoC) profiles. The results emphasise how HESS can improve Electric Vehicle (EV) performance and emphasise the vital role of control methods in attaining optimal energy management. |
URI: | https://bura.brunel.ac.uk/handle/2438/31085 |
DOI: | https://doi.org/10.1109/UPEC61344.2024.10892583 |
ISBN: | 979-8-3503-7973-0 (ebk) 979-8-3503-7974-7 (PoD) |
Other Identifiers: | ORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438 ORCiD: Mohamed Darwish https://orcid.org/0000-0002-9495-861X |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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