South Ural State University (SUSU) has developed a method to improve the efficiency of electric motors. The new approach reduces overall energy losses by at least 50%, according to the press service of the Ministry of Science and Higher Education of Russia.
This technology significantly reduces energy consumption and decreases negative impacts on power grids. It is important to understand that asynchronous motors are the foundation of modern industrial equipment, accounting for approximately 80% of all electric motors used worldwide.
The main idea behind the new technology is the adaptive control of the motor's magnetic field. Unlike standard methods that maintain a constant magnetic flux regardless of the load, the scientists proposed automatically adjusting the magnetic flux-reducing it at low loads and increasing it when more power is needed. Experiments have shown that this adaptation significantly improves the efficiency of the motors.
The new technology has great potential for application in various industries (industry, energy, and transport). It can significantly increase the economic efficiency of enterprises and save billions of rubles in electricity costs. One of the major oil-producing holdings has already ordered the installation of several dozen special controllers.
Earlier,www1.ru reported that the "Svirel" electric motoraccelerates drones by 30%.
Read more on the topic:
Investments in the Sky: 20 Billion Rubles Invested in Civilian Drones in Russia
Now on home
The service contains data on 45,000 fraudulent sites
The state has accelerated the introduction of unmanned solutions, integrating them into the real sector of the economy
Modernized engines may equip the Lada Azimut crossover
The price is 132 billion 265.8 million rubles
The manufacturer plans to strengthen its lineup of light commercial vehicles
The production of carbon fiber was organized in the shortest possible time
Electric vans will speed up the repair of urban transport infrastructure
Countries are working to synchronize regulations in the field of AI
The service's average daily audience is 55 million people
Stable Isomaterial Based on Metakaolin Has a Density Below 300 kg/m³
Re-identification quality improved twofold with new DynaMix method
Russians will be able to find out about debts online