Ultraprecise battery scan maps nanoscale electrode thickness variations to improve EV fire safety

Дата публикации: 23-07-2026 19:00:05

A KAIST research team has developed a method capable of detecting minute variations in battery electrode thickness that can contribute to thermal runaway with a precision equivalent to approximately one ten-thousandth of the diameter of a human hair, all without disassembling or damaging the battery. The technology is expected to improve battery safety and quality by identifying invisible defects during the manufacturing process.

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