Simple optimal estimator for PbA state of charge

• US 6,927,554 B2
• Filed: 08/28/2003
• Issued: 08/09/2005
• Est. Priority Date: 08/28/2003
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: General Motors Corporation (Motors Liquidation Co. GUC Trust)
• Inventors: Verbrugge, Mark W., Tate, Edward D. Jr.
• Primary Examiner(s): TIBBITS, PIA FLORENCE
• Application Number:
  US10/650,933
• Publication Number:
  US 20050046388A1
• Time in Patent Office: 712 Days
• Field of Search: 320/132, 320/149, 320/104, 702/64, 702/63, 324/427, 324/430, 324/433, 290/40.C, 290/1.B, 363/37, 340/870.05, 340/439, 704/64
• US Class Current: 320/132
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables

Abstract

A state of charge estimator for a battery includes a meter that generates a terminal voltage signal of the battery and a terminal current signal of the battery. A controller employs a linearized model of the battery and a time-varying state estimator. The controller process a synthesized input based on the terminal current and the terminal voltage to estimate the battery state of charge.

Claims

1. A method of estimating a state of charge of a battery, comprising:

modeling battery measured variables of said battery with a linear equation;

measuring a terminal current of said battery;

measuring a terminal voltage of said battery; and

processing said linear equation through a time-varying state estimator based on said terminal current and said terminal voltage to determine said state of charge.

2. The method of claim 1 wherein said linear equation is a process model that models changes in said state of charge based on current.

3. The method of claim 1 further comprising determining a compensated input wherein said processing is further based on said compensated input.

4. The method of claim 1 wherein said step of processing said linear equation comprises:

predicting a current state of charge based on a prior state of charge;

predicting a current state of charge error based on a prior state of charge error;

determining a current gain based on said current state of charge error; and

updating said current state of charge based on said prior state of charge to provide said state of charge of said battery.

5. The method of claim 4 wherein said state of charge error is continuously updated.

6. The method of claim 1 wherein said battery is a lead-acid battery.

7. A method of estimating a state of charge of a battery, comprising:

modeling battery measured variables of said battery based o a linear process equation;

determining a compensated input based on a terminal current of said battery and a terminal voltage of said battery; and

processing a time-varying filter based on said process equation and said compensated input.

8. The method of claim 7 wherein said step of processing a time-varying filter comprises:

predicting a current state of charge based on a prior state of charge;

predict a current state of charge error based on a prior state of charge error;

determining a current gain based on said current state of charge error; and

updating said current state of charge based on said prior state of charge to provide said state of charge of said battery.

9. The method of claim 8 further comprising determining an initial value of said state of charge wherein said initial value is used as said prior state of charge to initially predict said current state of charge.

10. The method of claim 7 wherein said compensated input compensates for gassing and self-discharging of said battery.

11. The method of claim 7 wherein said compensated input compensates for dynamic impedances and non-linear characteristics of said battery.

12. The method of claim 7 further comprising modeling non-linear dynamic voltage characteristics of said battery wherein said step of processing is further based on said dynamic voltage characteristics.

13. The method of claim 7 wherein said battery is a lead-acid battery.