Software complex for independent state of health (SoH) assessment of laptop batteries without specialized hardware

Abstract

The paper presents the "BattDiag" software complex for independent State of Health (SoH) diagnostics of laptop batteries without the use of specialized hardware. Existing system utilities have an error margin of up to 10–15% as they merely relay data from the BMS controller. The proposed method is based on the mathematical analysis of real discharge curves using an improved Coulomb Counting algorithm with two-point drift correction. Experimental testing on real devices demonstrated that the developed complex provides a Mean Absolute Error (MAE) for SoH estimation of no more than 0.8%, which is 15 times more accurate than standard Windows tools, with a minimal background CPU load of 0.35%.