Integrating machine-learning (ML) models responsible for predicting the evolution of those directly collected or implicitly derived parameters enhances the smartness of industrial systems even further. In this article, data already residing in most modern electric drives has been used to establish a data-driven thermal model of power electronics modules. The developed method … [Read more...] about Machine-Learning-Based Condition Monitoring of Power Electronics Modules in Modern Electric Drives
Multichip modules
Charging Electric Vehicle Batteries: Wired and Wireless Power Transfer
Due to the environmental concerns about CO2-caused global warming, policymakers are pushing electrified vehicles (EVs) to reduce these emissions. For passenger vehicles only, the electrified fleet is forecasted to reach 80 million in the U.S. and 500 million globally by 2040. Key enablers for such rapid EV adoption include the improvement of battery energy density, lifespan and … [Read more...] about Charging Electric Vehicle Batteries: Wired and Wireless Power Transfer
