Method for determining at least one state of a plurality of battery cells, computer program, battery and motor vehicle

1. A method for determining at least one of a charge state and an aging state of a plurality of spatially combined battery cells connected to one another by circuitry, comprising:

observing a subset of battery cells from the plurality of spatially combined battery cells using at least one observer structure over an observation time period;

detecting a parameter of each of the battery cells of the subset during the observation time period;

determining a magnitude of a variation in the parameter across all of the battery cells of the subset;

determining a change in the parameter during the observation time period for each of the battery cells in the subset;

determining an average change in the parameter for the subset of battery cells, the average change being an average of the determined changes in the parameter over the observation time period for the respective battery cells of the subset, and

when the magnitude of the variation of the parameter across all of the battery cells in the subset does not exceed a pre-determined threshold value, using the average change in the parameter in determining at least one of the charge state and the aging state for all of the battery cells, respectively, in the plurality of spatially combined battery cells.

2. The method as claimed in claim 1 , wherein the at least one of the charge state and the aging state is determined using estimation.

3. The method as claimed in claim 1 , wherein the at least one of the charge state and the aging state is a state of charge or a state of health.

4. The method as claimed in claim 1 , wherein:

the plurality of the spatially combined battery cells are divided into groups,

one subset of battery cells being assigned to a group, and

the observation taking place groupwise in an alternating fashion.

5. The method as claimed in claim 1 , wherein a ratio of a duration of the observation of the battery cells (t B ) to the observation time period (t obs ) is in a range from approximately 1/(5*10 6 ) to approximately 1/(5*10 5 ).

6. The method as claimed in claim 1 , wherein the method is implemented using a cell model, the cell model including:

the at least one parameter for calculating the at least one of the charge state and the aging state of the battery cells.

7. A computer program embodied on a non-transitory computer-readable storage medium, the computer program including instructions for causing a processor to implement a method for determining at least one of a charge state and an aging state of a plurality of spatially combined battery cells, the method comprising:

observing a subset of battery cells from the plurality of spatially combined battery cells using at least one observer structure over an observation time period;

detecting a parameter of each of the battery cells of the subset during the observation time period;

determining a magnitude of a variation in the parameter across all of the battery cells of the subset;

determining a change in the parameter during the observation time period for each of the battery cells in the subset;

determining an average change in the parameter for the subset of battery cells, the average change being an average of the determined changes in the parameter over the observation time period for the respective battery cells of the subset, and

when the magnitude of the variation of the parameter across all of the battery cells in the subset does not exceed a pre-determined threshold value, using the average change in the parameter in determining at least one of the charge state and the aging state for all of the battery cells, respectively, in the plurality of spatially combined battery cells.

8. The computer program as claimed in claim 7 , wherein the at least one state is determined using estimation.

9. The computer program as claimed in claim 7 , the method further comprising:

determining the at least one of the charge state and the aging state both for the observed battery cells and also for the non-observed battery cells.

10. The computer program as claimed in claim 7 , wherein the at least one of the charge state and the aging state is a state of charge or a state of health.

11. The computer program as claimed in claim 7 , wherein:

the plurality of the spatially combined battery cells are divided into groups,

one subset of battery cells being assigned to a group, and

the observation taking place groupwise in an alternating fashion.

12. The computer program as claimed in claim 7 , wherein a ratio of a duration of the observation of the battery cells (t B ) to an observation time period (t obs ) is in a range from approximately 1/(5*10 6 ) to approximately 1/(5*10 5 ).

13. The computer program as claimed in claim 7 , wherein the method is implemented using a cell model, the cell model including:

the at least one parameter for calculating the at least one of the charge state and the aging state of the battery cells.

14. A battery, comprising:

a plurality of spatially combined battery cells which are connected to one another by circuitry; and

at least one battery management system,

wherein the battery cells are connectable to a drive system of a motor vehicle,

wherein the battery cells are a lithium on battery or a nickel metal hydride battery,

wherein the battery management system is configured to implement a method for determining at least one of a charge state and an aging state of a plurality of spatially combined battery cells, and wherein the method includes:

observing a subset of battery cells from the plurality of spatially combined battery cells using at least one observer structure over an observation time period;

detecting a parameter of each of the battery cells of the subset during the observation time period;

determining a magnitude of a variation in the parameter across all of the battery cells of the subset;

determining a change in the parameter during the observation time period for each of the battery cells in the subset;

determining an average change in the parameter for the subset of battery cells, the average change being an average of the determined changes in the parameter over the observation time period for the respective battery cells of the subset, and

when the magnitude of the variation of the parameter across all of the battery cells in the subset does not exceed a pre-determined threshold value, using the average change in the parameter in determining at least one of the charge state and the aging state for all of the battery cells, respectively, in the plurality of spatially combined battery cells.

15. The battery as claimed in claim 14 , wherein the at least one state is determined using estimation.

16. The battery as claimed in claim 14 , the method further comprising:

determining the at least one of the charge state and the aging state both for the observed battery cells and also for the non-observed battery cells.

17. The battery as claimed in claim 14 , wherein the at least one of the charge state and the aging state is a state of charge or a state of health.

18. The battery as claimed in claim 14 , wherein:

the plurality of the spatially combined battery cells are divided into groups,

one subset of battery cells being assigned to a group, and

the observation taking place groupwise in an alternating fashion.

19. A motor vehicle comprising:

at least one battery including (i) a plurality of spatially combined battery cells which are connected to one another by circuitry and (ii) at least one battery management system,

wherein the battery is connected to a drive system of the motor vehicle,

wherein the battery is a lithium on battery or a nickel metal hydride battery,

wherein the battery management system is configured to implement a method for determining at least one of a charge state and an aging state of the plurality of spatially combined battery cells, and wherein the method includes:

observing a subset of battery cells from the plurality of spatially combined battery cells using at least one observer structure over an observation time period;

detecting a parameter of each of the battery cells of the subset during the observation time period;

determining a magnitude of a variation in the parameter across all of the battery cells of the subset;

determining a change in the parameter during the observation time period for each of the battery cells in the subset;

determining an average change in the parameter for the subset of battery cells, the average change being an average of the determined changes in the parameter over the observation time period for the respective battery cells of the subset, and

when the magnitude of the variation of the parameter across all of the battery cells in the subset does not exceed a pre-determined threshold value, using the average change in the parameter in determining at least one of the charge state and the aging state for all of the battery cells, respectively, in the plurality of spatially combined battery cells.