Method and Device for Predicting a State of Health of an Energy Storage System
AssigneeRobert Bosch GmbH
InventorsChristian Simonis, Stefan Schindler
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AssigneeRobert Bosch GmbH
InventorsChristian Simonis, Stefan Schindler
Estimating the term…
The disclosure relates to a method for determining a predicted state-of-health curve of device batteries in battery-powered machines. The method comprises: (i) providing data points of a state-of-health curve/trajectory of a device battery, the data points indicating a state of health via an aging time point of the device battery, the state-of-health curve/trajectory indicating a progression of a state of health up to a current state of health; (ii) determining a database of a plurality of data points within a time period which ends at the current aging time point, the database being determined such that a residual between the model function and the data points is minimized by fitting the model function; (iii) extrapolating the plurality of data points of the database by parameterizing the model function; and (iv) determining a predicted state of health using the parameterized model function at a predetermined prediction time point.
A method, which is computer-implemented, for determining a predicted state-of-health curve of device batteries in battery-powered machines, the method comprising:
A device for determining a predicted state-of-health curve of device batteries in battery-powered machines, the device being configured to:
A non-transitory machine-readable storage medium storing instructions for determining a predicted state-of-health curve of device batteries in battery-powered machines, the instructions being configured to, when executed by a least one data processing device, cause the least one data processing device to:
Dependencies are inferred from the claim text.