Samuel Estenlund

Samuel Estenlund is a Postdoctoral Fellow at the Division of Industrial Electrical Engineering and Automation within Lund University's Faculty of Engineering (LTH), and a member of the LTH Profile Area: The Energy Transition. His work centers on advancing electric machine technologies for high-performance applications, particularly in sustainable energy systems.

He earned his MSc in Electrical Engineering from Lund University in 2013 and completed his PhD in Industrial Electrical Engineering in June 2024. His doctoral research focused on direct air-cooled hollow windings for electrically excited machines.

Estenlund's research specializes in electric machine design with emphasis on thermal management and direct air cooling systems. Key investigation areas include rotor optimization for traction applications, synchronous machine performance enhancement, and additive manufacturing techniques for windings. His work addresses critical challenges in achieving high current density while maintaining thermal stability in electric motors, particularly for electric vehicle propulsion systems.

His publication record reveals a concentrated research trajectory toward innovative cooling solutions for electric machines, with recent work demonstrating experimental validation of hollow rotor windings and exploration of additive manufacturing for winding production. These efforts consistently target performance improvements in traction machines while eliminating dependence on permanent magnets.

As Principal Investigator for the TRUPER project (2014-2019), he led research on permanent magnet-free traction machines. No formal advisees are documented in available materials, though he contributes to academic instruction in power systems and power electronics.

Estenlund operates within Lund University's industrial electrical engineering division, collaborating extensively on energy transition initiatives and contributing to the development of next-generation electric machine technologies through both experimental and computational approaches.