SYSTEM, METHOD, AND ARTICLE OF MANUFACTURE FOR DETERMINING AN ESTIMATED BATTERY CELL MODULE STATE

• US 20090189613A1
• Filed: 01/30/2008
• Published: 07/30/2009
• Est. Priority Date: 01/30/2008
• Status: Active Grant

• Current Assignee: LG Energy Solution Limited (LG Corporation)
• Original Assignee: LG Chem Limited (LG Corporation)
• Inventors: Plett, Gregory L.
• Granted Patent: US 7,994,755 B2
• Time in Patent Office: Days
• US Class Current: 324/426
• 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
• CPC Class Codes: G01R 31/389 Measuring internal impedance, internal conductance or related variables

Abstract

A system, a method, and an article of manufacture for determining an estimated battery cell module state indicative of a state of a battery cell module of a battery pack are provided. The method includes measuring at least one of a battery cell module voltage, a battery cell module current, and a battery cell module temperature. The method further includes determining the estimated battery cell module state of the battery cell module at a predetermined time based on an estimated battery pack state and at least one of the battery cell module voltage, the battery cell module current, and the battery cell module temperature. The method further includes storing a vector corresponding to the estimated battery cell module state in a memory.

Claims

1. A method for determining an estimated battery cell module state indicative of a state of a battery cell module of a battery pack, comprising:

measuring at least one of a battery cell module voltage, a battery cell module current, and a battery cell module temperature;

determining the estimated battery cell module state of the battery cell module at a predetermined time based on an estimated battery pack state and at least one of the battery cell module voltage, the battery cell module current, and the battery cell module temperature; and

storing a vector corresponding to the estimated battery cell module state in a memory.

2. The method of claim 1, wherein determining the estimated battery cell module state, comprises:

determining a difference between the estimated battery cell module state and the estimated battery pack state; and

determining the estimated battery cell module state by adding the estimated battery pack state to the difference between the battery cell module state and the estimated battery pack state.

3. The method of claim 2, where determining the difference between the estimated battery cell module state and the estimated battery pack state is performed using one of a linear Kalman filter and a nonlinear Kalman filter.

4. The method of claim 2, wherein determining the difference between the battery cell module state and the estimated battery pack state is performed less frequently than determining the estimated battery pack state.

5. The method of claim 1, wherein the estimated battery pack state is determined using one of a linear Kalman filter and a nonlinear Kalman filter.

6. The method of claim 1, where the battery cell module comprises a single electrochemical cell.

7. The method of claim 1, wherein the battery cell module comprises a plurality of electrochemical cells.

8. A system for determining an estimated battery cell module state indicative of a state of a battery cell module of a battery pack, comprising:

a voltage sensor electrically coupled to the battery cell module, the voltage sensor configured to generate a first signal indicative of a battery cell module voltage;

a current sensor electrically coupled to the battery cell module, the current sensor configured to generate a second signal indicative of a battery cell module current;

a temperature sensor disposed proximate the battery cell module, the temperature sensor configured to generate a third signal indicative of battery cell module temperature; and

a computer configured to receive the first, second, and third signals, the computer is further configured to determine the estimated battery cell module state at the predetermined time based on an estimated battery pack state and at least one of the first, second, and third signals, the computer further configured to store a vector corresponding to the estimated battery cell module state in a memory.

9. The system of claim 8, wherein the computer is further configured to determine a difference between the estimated battery cell module state and the estimated battery pack state, the computer further configured to determine the estimated battery cell module state by adding the estimated battery pack state to the difference between the battery cell module state and the estimated battery pack state.

10. The system of claim 9, wherein the computer is configured to determine the difference between the estimated battery cell module state and the estimated battery pack state using one of a linear Kalman filter and a nonlinear Kalman filter.

11. The system of claim 9, wherein the computer is configured to determine the difference between the battery cell module state and the estimated battery pack state less frequently than determining the estimated battery pack state.

12. The system of claim 9, wherein the computer is configured to determine the estimated battery pack state using one of a linear Kalman filter and a nonlinear Kalman filter.

13. The system of claim 9, where the battery cell module comprises a single electrochemical cell.

14. The system of claim 9, wherein the battery cell module comprises a plurality of electrochemical cells.

15. A computer readable medium having computer-executable instructions for performing a method for determining an estimated battery cell module state indicative of a state of a battery cell module of a battery pack, the method comprising:

determining the estimated battery cell module state of the battery cell module at a predetermined time based on an estimated battery pack state and at least one of a battery cell module voltage, a battery cell module current, and a battery cell module temperature; and

storing a vector corresponding to the estimated battery cell module state in a memory.