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Deep learning model tracks EV battery health with high precision

Summary by spacewar.com
Tokyo, Japan (SPX) Feb 16, 2026 With electric vehicles and grid storage expanding worldwide, engineers are looking for better ways to track how lithium ion batteries age under real driving and operating conditions. A new study supported by Jilin University and China FAW Group reports a deep learning based method that monitors battery state of health with errors below 1 percent even when current and voltage vary in complex pat
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spacewar.com broke the news in on Friday, February 27, 2026.
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