Batteries
Apply predictive maintenance development tools to battery systems that
range from individual cells to battery packs
Apply predictive maintenance development tools to lithium-ion battery cells and battery packs. Specialized features and algorithms use knowledge of charge, discharge profiles, and cycle-to-cycle and cell-to-cell variations to enable detection of anomalies and to identify remaining cycle life.
Functions
meanDifferenceModel | Identify most degraded cell in serially connected lithium-ion battery pack (Since R2022b) |
adjacentPairCorrelationModel | Identify worst cell relative to other cells in serially connected lithium-ion battery pack (Since R2023a) |