M.Sc. Abbas Mehraban

Projects:

• Reliable Electrical Energy Network Architectures Electrified Aircraft Propulsion Systems (Link) in Sustainable and Energy-Efficient Aviation Research Network (SE²A)

• Safe and Reliable Electrical and Thermal Networks for Hybrid Electric Propulsion Systems (ETHAN)

Publications:

Stator winding fault detection of induction motors using fast Fourier transform on rotor slot harmonics and least square analysis of the Park’s vectors
T. Ghanbari and A. Mehraban
IET Electr Power Appl, vol. 18, no. 3, pp. 356–366, Mar. 2024, doi: 10.1049/ELP2.12394.(Link)

AI-Based Control of Storage Capacity in High-Power-Density Energy Storage Systems, Used in Electric Vehicles
A. Mehraban, T. Ghanbari and E. Farjah
IEEE Transactions on Transportation Electrification, vol. 10, no. 1, pp. 2293-2301, March 2024, doi: 10.1109/TTE.2023.3287357.(Link)

Integrated Optimal Energy Management and Sizing of Hybrid Battery/Flywheel Energy Storage for Electric Vehicles
A. Mehraban, E. Farjah, T. Ghanbari and L. Garbuio
IEEE Transactions on Industrial Informatics, vol. 19, no. 11, pp. 10967-10976, Nov. 2023, doi: 10.1109/TII.2023.3242580.(Link)

Inter-turn fault detection of induction motors using a method based on spectrogram of motor currents
T. Ghanbari, A. Mehraban, and E. Farjah
Measurement, vol. 205, p. 112180, Dec. 2022, doi: 10.1016/J.MEASUREMENT.2022.112180. (Link)

Side Effects of Air-Core Reactors in Bus Ties, Tackled by Pre-Saturated Core Fault Current Limiters
T. Ghanbari, A. Mehraban and A. Aghaei
2022 International Conference on Protection and Automation of Power Systems (IPAPS), Zahedan, Iran, Islamic Republic of, 2022, pp. 1-8, doi: 10.1109/IPAPS55380.2022.9763161.(Link)

Data Threshold Setting Using a New Approach Based on Otsu's Image Thresholding
T. Ghanbari and A. Mehraban
Conference on Protection and Automation of Power Systems (IPAPS), Zahedan, Iran, Islamic Republic of, 2022, pp. 1-5, doi: 10.1109/IPAPS55380.2022.9763224. (Link)

Optimal sizing of a high-speed flywheel in an electric vehicle using the optimal control theory approach
A. Mehraban, E. Farjah, T. Ghanbari, and L. Garbuio
IET Electr Power Appl, vol. 16, no. 1, pp. 55–67, Jan. 2022, doi: 10.1049/ELP2.12134.(Link)