Powering the Future: Infineon's Latest Current Sensing Innovations for AI Data Centers, Robotics, Drones & Energy Systems

Your power designs keep getting denser, faster and more efficient. The shunt resistor that served you at low power now costs you efficiency, board space and extra isolation effort. In this 60-minute on-demand webinar, Srivats Rajasekaran, Senior Product Marketing Manager at Infineon, shows when magnetic current sensors beat shunts and how to choose the right one. You'll see results from Infineon reference designs, including a 12 kW AI server power supply demonstrator. You'll also learn a simple selection method based on accuracy, bandwidth, current range and isolation. 

Whether you design for AI data centers, robotics, drones or energy systems, you'll know when to use Hall, TMR or hybrid Hall-plus-coil sensing. 

What you will learn: 

  • Select the right current sensor using four parameters: accuracy, bandwidth, current range and isolation.
  • Compare Hall-based, TMR and hybrid Hall-plus-coil technologies. Hall delivers high accuracy, TMR delivers high speed at lower cost, and Hall-plus-coil combines both with up to 9 MHz bandwidth.
  • Size your bandwidth correctly. Your sensor needs roughly 10 times the switching frequency to avoid signal attenuation and phase shift.
  • Choose the current rail. Integrated current rails suit currents up to about 100 A. External rails on a PCB trace or busbar reach the kiloampere range.
  • Replace shunts with TMR current sensors to measure motor phase current directly, without power loss or harmonic artifacts from low-side reconstruction.
  • Calibrate external-rail designs. See how end-of-line calibration brought an Infineon evaluation board within ±3% from −20 °C to 105 °C.
  • Protect your system faster. In an Infineon reference design, a TMR sensor detected an overcurrent event within 100 ns and shut down the circuit within 400 ns.
Webinar Slides
Documents

Speaker

Srivats Rajasekaran
Srivats Rajasekaran

Senior Product Marketing Manager, Current Sensors, Infineon Technologies

Srivats drives product strategy and go-to-market for Infineon's XENSIV™ current sensors. A materials scientist with a PhD from Stanford University, he previously worked in physics research and as a strategy consultant.

Magnetic current sensors for AI data centers and robotics
Register now to watch the recording and get the datasheets for all featured XENSIV™ magnetic current sensors.
Online | Webinars | On-demand

Additional Resources:

Infineon's Current Sensors