RAPID & ACCURATE
BATTERY DIAGNOSIS
powered by AI

Several factors lead the battery to catch fires, but electrical factors are believed to be the majority, such as short-circuit. It is one of the primary reasons consumers are holding back from choosing EVs for their daily commute. The market desperately needs a solution to prevent or measurably reduce battery-related risks for a safer and more secure environment and widespread EV adoption. Here we are to address the concern.

Mona Inc. provides a complete battery diagnosis system, a combination of hardware and software, that quickly and accurately examines cells/modules/packs and detects defects and abnormalities in the batteries.
We implemented artificial intelligence into equipment that measures EIS (Electrochemical Impedance Spectroscopy) and battery capacity through charge discharge. With the extensive data collected by the equipment and artificial intelligence, we believe that battery-related accidents such as thermal runaways could be significantly reduced and, therefore, safer and more secure EV experiences.
We suggest automakers and manufacturers of battery cells/modules/packs implement our integrated solution for a full inspection to precisely diagnose their products between the manufacturing processes and ensure their quality. Our solution makes it easy with a rapid and accurate examination to spot battery defects and provide charge-discharge assessment concurrently.