Machine learning-based design enables more efficient wireless power transfer
4 Articles
4 Articles
Machine learning-based design enables more efficient wireless power transfer
Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the 1890s, when Nikola Tesla ...
Machine Learning-Based Design Enables More Efficient Wireless Power Transfer
Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads change. In this study, researchers developed a machine learning-based design method that uses numerical optimization to achieve load-independent operation. Their approach ensures stable output voltage (fluctuations under 5%) and high efficiency (86.7%) under varying loads. This breakthrough simplifies WPT design and could…
Machine learning boost for wireless power transfer
Researchers in Japan have used machine learning to develop a fully numerical technique to improve wireless power transfer (WPT) system design. WPT systems often struggle with voltage stability when loads change. The researchers at Chiba University used a machine learning-based design method that uses numerical optimization to achieve load-independent operation. This achieved a stable output […] The post Machine learning boost for wireless power …
Researchers use AI-based design methods to optimize the efficiency and stability of wireless power transfer systems (WPT). The novel approach promises a future with reliable, wireless power supply for a variety of devices. The article Machine learning revolutionizes wireless energy transmission first appeared on ingenieur.de - Job Market and news portal for engineers.
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