Artificial intelligence applications for power electronics

Artificial intelligence (AI) has been one of the most prominent study fields over the last several decades and is now growing quickly. Artificial intelligence (AI) aims to provide systems with intelligence capable of human-like learning and reasoning. It has several benefits and has been effectively used in various industrial fields, such as image classification, voice recognition, autonomous vehicles, computer vision, etc. Power electronics stand to gain greatly from the advancement of AI. Applications range from the design optimization of power module heatsinks to intelligent multicolor LED controllers, maximum power point tracking (MPPT) control for wind energy conversion systems, anomaly detection for inverters, supercapacitor remaining useful life (RUL) forecasting, and many others. A broad range of data is provided for power electronic systems across all stages of their life cycle by the rapid growth of data science, which includes sensor technologies, the Internet of Things (IoT), edge computing, digital twin, and big data analytics. The growing amount of data sets a strong basis for AI in power electronics, opening up enormous prospects. Through global design optimization, intelligent control, estimating the health state of the system, and other methods, AI may use data to increase product competitiveness. As an outcome, data-driven research may be done in the field of power electronics, which is advantageous in particular for complicated applications.