Traction Inverter, GaN Technology, Chips Act and Neural Network for Power Electronics
Maurizio Di Paolo Emilio
Content Editor & Technical Writer | Ph.D | Power Electronics, Renewable Energy, Embedded Systems, Quantum Computing
Over the past few years, the number of electric vehicles (EVs) on our roads has significantly increased, imposing demanding challenges on designers, such as maximizing the EV efficiency, optimizing the charging infrastructure, and reducing the charging time.
In any electric vehicle, the traction inverter plays an essential role, performing the conversion of DC current from the EV battery to the AC current used by the motor to drive the vehicle’s propulsion system.
Improving the performance of the traction inverter has several benefits, including:
In this article, we will analyze different types of traction inverter architectures based on IGBT, SiC, and GaN devices, showing how gallium nitride can contribute to increasing the solution’s efficiency while reducing both costs and weight. #electricvehicles
Neural Network Application in Core Power Electronics and Motor Drives
By Saumitra Jagdale
A wide range of applications based on power electronic devices are possible because of the ability to convert electrical energy into useful forms like heat, light, motion, and sound with utmost efficiency. Motor drives are a prime example, with application in almost every industry. More than 70% of industrial loads are motor loads, with induction motors forming a major part of it. Hence, precise control of these motors is important for industries, as it can save them a ton of money and resources. All of these high-frequency switching devices require precise control to operate properly. With continuously changing external conditions, controlling power electronic devices such that they always operate at best efficiency point (BEP) cannot be achieved by conventional control methods. This is where artificial-intelligence techniques come into the picture. #artificialintelligence #ai
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