US 12,263,755 B2
Method and apparatus for predicting a state of health of a device battery in a battery-operated device
Christian Simonis, Leonberg (DE); and Stefan Schindler, Bietigheim-Bissingen (DE)
Assigned to Robert Bosch GmbH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Nov. 30, 2021, as Appl. No. 17/537,825.
Claims priority of application No. 10 2020 215 204.7 (DE), filed on Dec. 2, 2020.
Prior Publication US 2022/0169148 A1, Jun. 2, 2022
Int. Cl. B60L 58/16 (2019.01); H01M 10/42 (2006.01)
CPC B60L 58/16 (2019.02) [H01M 10/42 (2013.01); H01M 2220/20 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method, which is computer-implemented, for determining a predicted state of health of a device battery in a battery-operated machine, comprising:
providing a state of health characteristic model including a plurality of initial characteristic functions, wherein
each of the plurality of initial characteristic functions models respective states of health over respective time periods of ageing,
each of the plurality of initial characteristic functions is linked to at least one of the other plurality of initial characteristic functions, and
each of the plurality of initial characteristic functions is defined by a respective plurality of initial parameters;
capturing a data point that indicates (i) a state of health of the device battery, and (ii) a first ageing time that is assigned to the state of health;
associating the captured data point with a first of the plurality of initial characteristic functions based upon the assigned first ageing time;
adapting the first of the plurality of initial characteristic functions based on the associated data point to generate a modified first characteristic function defined by a modified first plurality of parameters;
adapting at least one parameter of a second characteristic function of the plurality of initial characteristic functions based on the modified first characteristic function to generate a modified second characteristic function linked to the modified first characteristic function;
providing a modified state of health characteristic model based on the modified first characteristic function and the modified second characteristic function; and
determining the predicted state of health of the device battery using the provided modified state of health characteristic model.