USB-C charger
AI -based wire loading technology promises to revolutionize not only smartphones, but also the electric vehicle industry. It’s been 5 to 10 years from now, says author of a new study.
Researchers in Japan have revealed an advance in wire -free energy transmission technology (WPT) that could accelerate the transition to a totally wireless society.
The team resorted to automatic learning To develop a system that has been able to maintain a stable tension regardless of the device to be loaded – a longtime challenge in Wireless transmission.
Wireless energy is already clear used on everyday devices, from smartphones and biomedical sensors to induction stoves. But conventional systems depend on load, which means that its efficiency and stability vary depending on the device on, explains the. This can cause voltage fluctuations that delay loading or even damage batteries, particularly on devices such as smartphones, whose battery resistance changes as it charges.
The new automatic learning -based approach introduces a WPT system independent of load (LI), capable of providing consistent energy on different devices and conditions.
For example, a smartphone battery can now receive energy to a stable voltage throughout the loading cycle, increasing safety and efficiency. The advance is especially promising for larger applications, such as electric vehicleswhere load conditions can vary dramatically.
According to the results in June in the magazine Ieee transactions on circuits and systems, WPT systems operate for resonance -The same principle used on radios or televisions that receive “over-the-air” signals. A transmitter emits electromagnetic waves to a specific frequency that resonate with a receiver tuned at the same frequency. In WPT systems, this resonance allows you to capture and store wireless energy.
The technique uses automatic learning to optimize these systems. Researchers first create a virtual model of the WPT system and simulate their operation. An artificial intelligence evaluates performance, monitoring energy losses, signal stability and other parameters.
Through an iterative process of attempt and error, the Would adjust the system to maximize efficiency, reducing voltage fluctuations to only 5%compared to 18% in traditional systems. Efficiency in energy transfer has also increased, reaching 86.7% compared to 65% of load -dependent systems.
Hiroo Sekiyamain author of the study and teacher at the Graduate School of Advanced Integration Science at the University of Chiba, provides for a daily use of technology over the next five to ten years.
