Magnetic Maze Domains Decoded to Boost EV Efficiency
Electric motors lose energy through magnetic hysteresis. This is called iron loss. Heat makes the problem worse. It weakens magnetization inside the motor core. As a result, electric vehicles become less efficient. Scientists needed a better way to study this.
The Maze Domain Mystery
Soft magnetic materials form zig‑zag patterns. These are known as maze domains. The patterns change with temperature. However, traditional models cannot explain these changes well. Therefore, a team from Tokyo University of Science developed a new approach.
A Smarter Model
The researchers created the eX‑GL framework. It combines physics with artificial intelligence. First, they captured microscopic images of maze domains at different temperatures. Then they used persistent homology to detect hidden patterns. Machine learning highlighted the most important features. This built a digital energy landscape.
Four Key Energy Barriers
The model identified a key component called PC1. It represents the magnetization reversal process. In addition, the team found four major energy barriers. These barriers control how magnetization changes. Longer domain walls create more complex maze patterns. Entropy and exchange forces drive this effect.
Benefits for Electric Vehicles
“Our approach automates the interpretation of complex magnetization,” says Professor Masato Kotsugi. The model reveals hidden mechanisms. Free energy is a universal metric. Therefore, this method can apply to other physical systems. Understanding maze domains helps engineers reduce energy loss. As a result, future EVs will run more efficiently.
