Smart battery adaptive algorithms-system gain calibration elimination by use of adaptive learn cycle in integrated VFC measurement circuit

Abstract

Factory calibration is eliminated for system level voltage to charge conversion gain for available charge estimation systems used in rechargeable battery applications, by taking advantage of normalized capacity learning methods. These methods allow the use of state of charge modeling techniques to predict remaining time for portable electronics applications such as talk time on cellular phones or remaining use time on computers, and eliminates the need for absolute units such as amp-hours. One such algorithm is discussed showing how this calibration can be eliminated. Time-of-use estimates are compared and analyzed against laboratory data.