Infrgy LLC is pioneering the automated use of Software-Defined Radio to enhance the efficiency and range of Wireless Power Transfer (WPT) technology at the University of Kashmir. This advancement employs beamforming, in conjunction with Artificial Intelligence (AI) and Software-Defined Radio (SDR), to direct wireless signals toward specific targets, thereby improving signal strength and reducing interference. These combined technologies promise to make wireless power transfer more precise, adaptable, and scalable than ever before. Infrgy co-founder Parvez Rishi expressed his enthusiasm for collaborating with Professor Rouf Ul Alam Bhat in advancing their Energy Harvesting and Wireless Power Transfer technologies.
He noted that while traditional RF wireless power transfer typically delivers power from microwatts to milliwatts, their innovations with AI-driven beamforming can transmit many watts over greater distances. Wireless power transfer conventionally relies on electromagnetic fields to transmit energy over distances; however, natural propagation losses can cause significant energy dissipation into the environment, diminishing efficiency. Beamforming, a technique initially developed for communication systems, directs electromagnetic waves towards a specific target by utilizing constructive interference from multiple antennas. By concentrating the energy stream, beamforming reduces losses and extends the effective transfer distance. Software-Defined Radio (SDR) is essential as it offers a flexible and reconfigurable platform for managing antennas and real-time transmission parameter adjustments.
Unlike fixed hardware systems, SDR can adjust dynamically to changing conditions. When integrated with AI, SDR-based beamforming gains intelligence, enabling it to learn user locations, anticipate energy requirements, and automatically optimize transmission strategies for peak efficiency. AI adds a layer of autonomous intelligence to the otherwise mechanical energy delivery process. The combination of AI and Software-Defined Radio with beamforming techniques marks a significant advancement in Wireless Power Transfer technology. By allowing systems to adapt, learn, and optimize in real-time, AI boosts efficiency, reliability, and scalability compared to traditional methods. Potential applications span consumer devices, electric vehicles, medical systems, and global renewable energy infrastructures.
Although obstacles such as safety standards, regulatory issues, and cost optimization persist, the integration of AI, SDR, and beamforming heralds a future where energy can be transmitted as seamlessly as data, fundamentally changing how humanity interacts with energy.
