State and parameter estimator having integral and differential components for electrical energy accumulators

• US 8,099,180 B2
• Filed: 05/31/2005
• Issued: 01/17/2012
• Est. Priority Date: 07/23/2004
• Status: Active Grant

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Schoch, Eberhard
• Primary Examiner(s): Decady, Albert
• Assistant Examiner(s): LOPEZ ALVAREZ, OLVIN
• Application Number:
  US11/632,987
• Publication Number:
  US 20090048793A1
• Time in Patent Office: 2,422 Days
• Field of Search: 700 28- 31, 700/42, 700/44, 700/45, 320/100, 320/103, 320/132, 702/63
• US Class Current: 700/31
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/3842 combining voltage and current measurements

Abstract

A device is described for ascertaining state variables and/or parameters of a mathematical energy accumulator model, in particular a battery model, that describes the electrical properties of the energy accumulator on the basis of various state variables and parameters, the mathematical energy accumulator model having correction equations by which the state variables and/or the parameters are corrected and adjusted to the actual operating performance of the energy accumulator. A particularly rapid and accurate compensation of the energy accumulator model may be achieved if the error between a measured battery performance quantity and the battery performance quantity calculated by the energy accumulator model, a differentiated component of the error and an integrated component of the error are calculated, the individual components are each weighted using a weighting factor and the weighted error components are taken into account in correction of a state variable and/or a parameter.

Claims

1. A device for ascertaining at least one of state variables and parameters of a mathematical energy accumulator model, comprising:

a processor, including;

an arrangement for calculating an error between a measured battery performance quantity and a battery performance quantity calculated by the energy accumulator model, a differentiated component of the error and an integrated component of the error, wherein the mathematical energy accumulator model corresponds to a battery model that describes electrical properties of an energy accumulator based on the at least one of the state variables and parameters, and wherein the energy accumulator model has correction equations to adjust the at least one of the state variables and parameters according to an actual operating performance of the energy accumulator;

an arrangement for weighting a proportional component, the differentiated component, and the integrated component using respective weighting factors for each component calculated as functions of an operating point; and

an arrangement for feeding back the weighted components into the energy accumulator model for correction of the at least one of the state variables and the parameters, wherein only the differentiated component corrects an internal resistance state variable during battery charging, and wherein the proportional, differentiated, and integrated components correct the internal resistance state variable during battery discharging.

2. The device as recited in claim 1, wherein the energy accumulator model is implemented as a universal model that is valid for an entire operating range of the energy accumulator.

3. The device as recited in claim 1, wherein the weighting of the individual error components as a function of the operating point is implemented in such a way that the at least one of the state variables and parameters, which at the respective operating point has the greatest effect on a time characteristic, an integral characteristic or a differential characteristic of the performance quantity to be adjusted, is corrected to the greatest extent.

4. The device as recited in claim 1, wherein at least one of the proportional component, the integral component and the differential component of the error are weighted differently during charging of a battery than during discharging of the battery.

5. The method as recited in claim 1, wherein separate weighting factors are assigned to each of the state variables and parameters.

6. The method as recited in claim 5, wherein each of the separate weighting factors is ace determined from a pole according to a Luenberger observer.

7. The method as recited in claim 5, wherein each of the separate weighting factors is are determined from a minimal estimated error variance.

8. A method, implemented using a processor, for ascertaining at least one of state variables and parameters of a mathematical energy accumulator model, comprising:

calculating an error between a measured battery performance quantity and a battery performance quantity calculated by the energy accumulator model, wherein the energy accumulator model corresponds to a battery model that describes electrical properties of an energy accumulator based on the at least one of the state variables and parameters, and wherein the energy accumulator model has correction equations to adjust the at least one of the state variables and parameters according to an actual operating performance of the energy accumulator;

calculating a differentiated component of the error and an integrated component of the error;

weighting a proportional component, the differentiated component, and the integrated component with respective weighting factors for each component calculated as functions of an operating point; and

feeding back the weighted error components into the energy accumulator model for correction of the at least one of the state variables and parameters, wherein only the differentiated component corrects an internal resistance state variable during battery charging, and wherein the proportional, differentiated, and integrated components correct the internal resistance state variable during battery discharging.

9. The method as recited in claim 8, wherein the energy accumulator model is implemented as a single model for an entire operating range of the energy accumulator.

10. The method as recited in claim 8, wherein the weighting of the individual error components as functions of the operating point is implemented in such a way that at least one of the state variables and the parameters, which at the respective operating point has a greatest effect on a time characteristic, a integral characteristic or a differential characteristic of the performance quantity to be adjusted, is corrected to a greatest extent.