Meaning
A mathematical diagnostic technique extracts distinct peak profiles from voltage and capacity data to monitor the health of an electrochemical cell. The dv dq derivative analysis plots the change in cell voltage against the change in incremental capacity during a slow charge or discharge. This process reveals phase transition points that cannot be identified from a standard voltage curve alone.
Signal Processing
High-resolution data acquisition is necessary to prevent noise from distorting the calculated derivative curve. In practice, dv dq derivative analysis utilizes filtering algorithms to smooth the raw voltage and current signals before executing the differentiation step. This preprocessing ensures that the resulting peaks reflect actual electrode chemistry rather than measurement artifacts from the cycler.
Electrode Degradation
Changes in the height and position of the peaks indicate specific wear mechanisms within each electrode. By tracking these features, dv dq derivative analysis isolates the loss of active material on the positive electrode from the loss of lithium inventory in the solid electrolyte interphase. This diagnosis allows engineers to pinpoint the causes of capacity fade without dismantling the cell.
Operational Use
Battery management systems use these curves to adjust charging protocols. Automated dv dq derivative analysis enables field assets to run diagnostics without external lab testing.