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Recalibrates OCV/SOC curves in BMSs using only opportunistic measurement of single cell voltages at rest. Establishes prognosis on remaining useful life based on true degradation.
About
The technology allows recalibration of open circuit voltage vs. state of charge (OCV/SOC) curves in battery management systems using only opportunistic measurement of single cell voltages at rest. In addition, the algorithm uses the updated OCV/SOC curves to diagnose the degradation and establish a prognosis on the remaining useful life based on true degradation and not on extrapolation of the capacity loss. The technology has the potential to maintain the battery fuel gauge accuracy throughout the battery's life. It is not calculation intensive, is chemistry agnostic and works for any Lithium-ion or Sodium-ion battery chemistries if the electrode data vs. a reference electrode is provided.
Key Benefits
- Dynamically adjusts the OCV/SOC curve for earlier detection of battery failure - Enables more accurate prognosis of remaining useful life of battery - Cost effective, with no need for specific sensors or protocols - Eliminates down time required for existing methods - Requires minimal power consumption and can thus be easily integrated in a microcontroller and embedded in today's consumer electronics - Allows for early detection of battery failure, enabling preemptive maintenance to avoid safety concerns (e.g. car battery)
Applications
- Lithium-ion or Sodium-ion battery management systems - Electric vehicles - Residential/commercial/utility storage systems - Consumer electronics (e.g. cell phones, laptops, etc.)