Real Autonomy. Real Impact.
Autonomous operations create real value: lower operating costs, higher productivity and minimized risk.
Five levels of autonomy, at the pace your site needs
Every case starts with Lv.1 data connection and moves up one level at a time to fit the site.
Autonomy at work on real sites
Rapid battery SOH diagnosis
Cuts battery diagnosis from 5 to 6 hours down to about 30 minutes.
01. The Challenge
Company P, which remanufactures used EV batteries, needed to diagnose each battery's state of health (SOH) accurately to decide whether it could be reused. Its existing method measured actual capacity by fully charging and discharging each battery.
The method was accurate, but each battery took about 5 to 6 hours to diagnose, limiting how many batteries could be tested. The customer needed a system that could raise testing efficiency while keeping diagnoses reliable, choosing between precise and rapid diagnosis depending on the battery's condition and the purpose of the assessment.
02. Our Solution
Modapl analyzed battery charge and discharge data to develop an AI model that estimates SOH from short, partial charge-discharge data alone. Diagnoses that used to take about 5 to 6 hours can now be performed with about 30 minutes of data, estimating SOH with an average error of around 2%.
Data from the diagnostic equipment was also integrated into one platform, with a web-based system for checking and managing each battery's test progress and AI diagnosis results. This lets the customer choose between the conventional full charge-discharge method and AI-based rapid diagnosis according to each battery's condition and the purpose of the assessment.
03. The Outcome
Where every battery once had to go through a long full charge-discharge test, the customer can now choose rapid or precise diagnosis depending on the purpose, improving test time and operational efficiency.
What level is your site at today?
We'll assess your site's current level of autonomy with you and propose the most effective next step.