Michael Klamkin (16) from Staten Island Technical High School used Dual Extended Kalman Filtering to create a new approach to monitoring the state of charge of lithium-ion polymer batteries. Using an algorithm that combines an electrical circuit model, MATLAB and Dual Extended Kalman Filtering measures phone battery life more efficiently than the battery life monitor built into a phone.

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