Method for predicting the power capacity of electrical energy stores

• US 20090306915A1
• Filed: 10/19/2006
• Published: 12/10/2009
• Est. Priority Date: 10/21/2005
• Status: Abandoned Application

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Schoch, Eberhard
• Application Number:
  US11/989,063
• Publication Number:
  US 20090306915A1
• Time in Patent Office: Days
• US Class Current: 702/63
• CPC Class Codes: G01R 31/3647 for determining the ability of a battery to perform a critical function, e.g. cranking
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables

Abstract

A method and a corresponding device are described for predicting the power capacity of an electrical energy store, such as a battery in a vehicle, in which, with the aid of a mathematical model for the energy store, its state variables and parameters are continuously adjusted, and thereby a charge and discharge power capability is estimated and predicted.

Claims

1-11. -11. (canceled)

12. A method for predicting the power capacity of an electrical energy store, comprising:

forming a mathematical model of the energy store;

continuously adjusting state variables and parameters of the model; and

predicting a maximum charge and a discharge power using the model.

13. The method as recited in claim 12, wherein relevant influential variables including at least one of temperature, charge state, Ohmic internal resistance, polarizations, acid stratification, age, and icing, are taken into consideration in the model.

14. The method as recited in claim 12, wherein a state estimator and parameter estimator is used for power prediction which continuously estimates currently required state variables.

15. The method as recited in claim 14, wherein the state estimator and parameter estimator is a Kalman filter.

16. The method as recited in claim 12, wherein at least one of a maximum admissible charge voltage and a minimum vehicle electrical system voltage, are taken into consideration in the model.

17. The method as recited in claim 16, wherein additional definitions for the at least one of an admissible maximum charge, a discharge current, a minimum, and a maximum charge state, are taken into consideration.

18. The method as recited in claim 12, wherein at least one of a currently available charge, and a discharge power are determined using the model.

19. The method as recited in claim 16, wherein at least one of a charge power and a discharge power to be expected at any at least one of specifiable temperatures, and charge states are determined using the model.

20. The method as recited in claim 12, wherein at least one of a charge power and a discharge power ascertained with reference to a fixed specified temperature are used as a measure for an aging of the energy store.

21. The method as recited in claim 12, wherein the energy store is a battery for a vehicle.

22. A device for predicting a power capacity of an electrical energy store, comprising:

a control device adapted to form a mathematical model of the energy store, continuously adjust state variables and parameters of the model, and predict a maximum charge and a discharge power using the model.

23. The device as recited in claim 22, wherein the control device includes a control unit, or is a component of an intelligent battery sensor or a body computer or a component of a software module for an electrical battery management.