The article Magnetics for Future Transportation: From Memory to Motors has been published in IEEE Magnetics Letters.
Based on research presented at the 2025 Joint MMM-Intermag symposium, this paper reviews the current landscape of magnetic innovation in the transportation sector, focusing on five key technological pillars:
Automotive-ready memory solutions.
Multiphysics approaches to motor design.
Adaptive hybrid magnetic sensing for electric vehicles (EVs).
Soft magnetic materials for efficient inductive charging.
General magnetic material considerations for transportation efficiency.
As system demands for EV current measurement increase, selecting a single sensing technology often results in a compromise between sensitivity and dynamic range. To address this, we proposed a hybrid architecture that integrates TMR and Hall sensors on a single chip. By utilizing an embedded, TinyAI-compatible weighting function, the system dynamically adjusts sensor outputs in real-time. This configuration effectively offloads data processing from the MCU, improving responsiveness while reducing overall power consumption. We are currently in the prototyping phase to validate the performance of this heterogeneous integration.
Fig.1 (a) Hybrid architecture utilizing weighting functions for signal processing. (b) Simulation result of the hybrid sensing with adaptive weighting circuits. (W: adaptive weighting circuits, ATMR: TMR sensor output, AHALL: Hall sensor output, and AOUT: weighted combined output).
Fig.2 Single-chip design integrating both TMR and Hall sensors with an embedded weighting function ASIC compatible with Tiny-AI capabilities.
The full article can be accessed via the link below: