Battery Full Charge Capacity Estimation from Sparse Cycle Data

The patent changes the parameter of data selection criteria by introducing specific conditions (current value below threshold, continuous duration above threshold) to identify valid measurement points. This allows accurate capacity estimation using data from frequent charge-discharge cycles without requiring extended resting periods, thus maintaining both productivity and measurement precision.

The patent segments the continuous charge-discharge operation into discrete valid measurement periods based on current thresholds. By dividing the operation into valid and invalid segments, the system can selectively use only the reliable data portions for capacity calculation, improving accuracy without reducing overall charging frequency.

The patent simplifies data processing by changing the selection parameter to a simple current threshold comparison rather than complex analysis. This allows multiple data points to be efficiently filtered and selected based on straightforward criteria, improving accuracy while minimizing computational complexity.

The patent applies partial action by selecting only the necessary portion of data (valid periods when current is below threshold) rather than processing all available data. This selective approach achieves accurate estimation without the computational burden of analyzing excessive data points.