Pouyan Pourhadi Abkenar received his M.S. degree in Power Engineering from the University of Tehran, Tehran, Iran, in 2019. Since then, he has been a Research Assistant at the University of Tehran. His research interests encompass the design, modeling, and control of resonant converters, DC/DC converters, and renewable energy systems. In May 2022, Pouyan joined the MEAS lab at RPTU as a Ph.D. student. His primary research focus is on reconfigurable battery systems.

• Development of an Optimum Battery–Fuel-cell Hybrid System for a Long-Range Electric Coach Bus
• Optimizing PV-Battery Hybrid Systems: A Reconfigurable Approach with Module-Level Maximum Power Point Tracking and Load Sharing
• Reconfigurable Battery System for Enhanced Efficiency and Voltage Balancing

• Research assistant and lab instructor at University of Tehran, Iran (2016-2022)
  • Low-Cost, Single-Switch, High-Step-Up Resonant DC–DC Converter
  • High-Voltage, High-Frequency Power Supply for Ozone Generation

• Design, Modeling, and Control of Resonant Converters
• Renewable Energy Systems
• Reconfigurable Battery Systems

• Lecturer in electrical machines and electrical circuits laboratories.

• Modular Reconfigurable Mixed Battery System with Heterogeneous Modules, in IEEE Transactions on Transportation Electrification, (2024) doi: 10.1109/TTE.2024.3362849.
• A Highly Reliable Low-Cost Single-Switch Resonant DC–DC Converter With High Gain and Low Component Count, in IEEE Transactions on Industrial Electronics, vol. 70, no. 3, pp. 2556-2565, March 2023, doi: 10.1109/TIE.2022.3165246.
• Design and Implementation of Ozone Production Power Supply for the Application of Microbial Purification of Water, in IEEE Transactions on Power Electronics, vol. 35, no. 8, pp. 8215-8223, Aug. 2020, doi: 10.1109/TPEL.2019.2962972.

• A Reconfigurable Photovoltaic and Battery System with Maximum-Power-Point Tracking and Load Sharing, 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON), SC, USA, 2023, pp. 1-6, doi: 10.1109/ONCON60463.2023.10431182.
• Parameter Estimation of Battery Modules in a Modular Reconfigurable Battery Using Deep Neural Network, 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 2023, pp. 1-6, doi: 10.1109/eGrid58358.2023.10380916.
• Development of a Modular Reconfigurable Battery System with Asymmetric Module Voltages, 2023 8th IEEE Workshop on the Electronic Grid (eGRID), Karlsruhe, Germany, 2023, pp. 1-6, doi: 10.1109/eGrid58358.2023.10380934.
• Bidirectional Energy Transfer for Heterogeneous Modular Batteries in Electric Vehicle Applications, 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe), Aalborg, Denmark, 2023, pp. 1-9, doi: 10.23919/EPE23ECCEEurope58414.2023.10264264.
• Fault-Tolerant Electric Vehicle Drivetrain with Reconfigurable Battery and Multiphase Machine, 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON), SC, USA, 2023, pp. 1-6, doi: 10.1109/ONCON60463.2023.10430930.

MATLAB, Altium Designer, LabView, PSCAD, DIgSILENT

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Interested in joint research projects in electric vehicles specially reconfigurable battery systems.