US teen scientist develops new way to predict health of aging EV batteries
SMRTR summary
Colin Chu, an 18-year-old from Palo Alto, created a model that predicts EV battery health with just 2.36% error by combining machine learning with physics-based circuit modeling. Tested on 22 artificially aged batteries, his research could improve EV safety, maintenance, and battery lifespan predictions.
SMRTR provides this summary for quick context. The original article belongs to Interesting Engineering.
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