AI Battery Life Prediction System BatteryMind Launches: Precise EV Battery Health State Prediction
CATL launches AI battery life prediction system BatteryMind, precisely predicting battery remaining life and capacity degradation curves through charge-discharge data and electrochemical impedance spectroscopy analysis, with error below 3%.
CATL launched AI battery life prediction system BatteryMind on January 23. The system precisely predicts battery remaining lifespan and capacity degradation curves by analyzing charge-discharge curves, electrochemical impedance spectroscopy and temperature history data.
BatteryMind's core is an electrochemical-data fusion model that embeds electrochemical principles into the AI model, achieving 97% accuracy with just 100 charge-discharge cycles of data. CATL's technology director said BatteryMind has significant value for EV used car transactions and battery second-life applications.
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