Ekamjot Singh Tahim

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About

Ekamjot Singh Tahim is a researcher specializing in electric machine modeling and motor-drive transient simulations, with a particular focus on interior-permanent magnet synchronous machines (IPMSMs) for high-performance applications. His most-cited work, "High-Fidelity Memory-Compact Dynamic Model of Interior-Permanent Magnet Synchronous Machines for Motor-Drive Transient Simulations" (2024), addresses a critical challenge in electric vehicle, aerospace, and industrial automation systems: accurately capturing flux linkage variations under diverse operating conditions while maintaining computational efficiency. Tahim’s model achieves a balance between high fidelity and memory compactness, enabling more reliable transient simulations essential for advanced motor control design. With 5 citations since its publication, this contribution is gaining traction among researchers seeking practical, simulation-ready models for IPMSM-driven systems. His work supports the growing demand for precise, efficient electric drivetrains in emerging technologies. Tahim’s research is particularly valuable for students and engineers working on electric vehicle powertrains, robotics, and renewable energy systems, offering a robust framework for understanding and optimizing IPMSM performance in real-world transient scenarios.