Wireless Charging Design for Wearable Electronics: A Case Study
Technology Category
- Analytics & Modeling - Digital Twin / Simulation
- Networks & Connectivity - WiFi
Applicable Industries
- Electronics
- Telecommunications
Applicable Functions
- Product Research & Development
Use Cases
- Virtual Prototyping & Product Testing
- Virtual Reality
About The Customer
RF2ANTENNA is a company that focuses on developing innovative and easy-to-integrate products for specific applications in wireless communications and wireless charging. Their primary goal is to enhance the efficiency of IoT devices with affordable solutions. Their core competency lies in providing solutions to radiation problems in mobile products. With a combined experience of over 30 years in mobile communications design, RF2ANTENNA is committed to delivering cutting-edge solutions in the wireless technology space.
The Challenge
RF2ANTENNA, a company specializing in wireless communications and charging, faced a challenge in designing a customized wireless charging system for wearable electronics. The traditional approach of experimental design was deemed time-consuming and costly as it required building different size coils and creating a measurement setup. The specific needs of wearable devices necessitated a custom design, which called for engineering simulations for a reasonably short, cost-effective design cycle. The challenge was to find a simulation software that could integrate a circuit solver with the electromagnetic solvers, to optimize the coil design process.
The Solution
RF2ANTENNA engineers utilized ANSYS’ electromagnetic solver combined with the circuit simulator to optimize the coil design process. This involved using ANSYS Maxwell 3D to extract the circuit values for the wireless coupling mechanism. Subsequently, ANSYS Nexxim was used to optimize the circuit and the coils for charging efficiency by altering the values of the tuning capacitors (CS and CL). Given the wearable application, the engineers also employed ANSYS HFSS to plot the electric field strength on the human body (due to the charging current) using the human model provided by ANSYS. This comprehensive approach allowed for a highly accurate, optimized solution, which would have been nearly impossible using traditional trial and error methods.
Operational Impact
Quantitative Benefit
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