Method for determining a state of a rechargeable battery device in real time

• US 9,091,735 B2
• Filed: 10/26/2010
• Issued: 07/28/2015
• Est. Priority Date: 10/26/2010
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Wang, Shuoqin, Verbrugge, Mark W., Wang, John S., Liu, Ping
• Primary Examiner(s): Trammell, James
• Assistant Examiner(s): Stroud, James E
• Application Number:
  US12/912,407
• Publication Number:
  US 20120101674A1
• Time in Patent Office: 1,736 Days
• Field of Search: 701/22, 702/7, 702/31, 702/47, 702/57, 702/60, 702/61, 702/104, 320/100, 320/102
• US Class Current: 1/1
• 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 method of determining and predicting a state of a rechargeable battery device in real time involves measuring a current and a voltage of the rechargeable battery in real time, inputting the measured current and voltage into an algorithm, and applying the algorithm to determine the state of the rechargeable battery. The algorithm includes a first mathematical model based on a direct solution of at least one differential equation characterizing an equivalent RC circuit of the battery as a function of time. The first model generates a plurality of parameters that are usable to determine the state of the battery. The algorithm further includes a second mathematical model configured to regress the parameters over time, and a third mathematical model configured to estimate the state of the battery.

Claims

1. A method of determining and predicting a state of a rechargeable battery device in real time, comprising:

via respective measuring devices, measuring a current and a voltage of the rechargeable battery in real time;

via a processor executing computer readable instructions and operatively coupled to a memory and to a non-transitory, tangible computer-readable medium, the processor performing steps including;

determining that the battery is charging based on the current being positive, or that the battery is discharging based on the current being negative;

determining a time derivative of the current and a time derivative of the voltage;

estimating, based on results of an execution of a weighted recursive least squares regression of a linear solution of an equivalent circuit for the battery, for time intervals over a time duration, parameters including the voltage of the rechargeable battery, an open circuit voltage of the rechargeable battery, and a high-frequency resistance of the rechargeable battery;

estimating, based on the results of the execution of the weighted recursive least squares regression of the linear solution of the equivalent circuit for the battery, for the time intervals over the time duration, if the battery is charging, the parameters further including a charge-transfer resistance, current and capacitance of the rechargeable battery for a charging state and excluding a charge-transfer resistance, current and capacitance of the rechargeable battery for a discharging state;

estimating, based on the results of the execution of the weighted recursive least squares regression of the linear solution of the equivalent circuit for the battery, for the time intervals over the time duration, if the battery is discharging, the parameters further including the charge-transfer resistance, current and capacitance of the rechargeable battery for the discharging state; and

excluding the charge-transfer resistance, current and capacitance of the rechargeable battery for the charging state; and

estimating the state of the rechargeable battery for the time intervals over the time duration based on the parameters.

2. The method as defined in claim 1 wherein the state of the rechargeable battery is a state of charge determined by the processor by summing a product of a weighting factor and a state of charge during a charging state of the rechargeable battery and an other product of the state of charge with respect to the open circuit voltage of the rechargeable battery and a difference of the weighting factor from unity.

3. The method as defined in claim 2 wherein the state of charge during the charging state of the rechargeable battery is determined by comparing a time integration of the current to a nominal battery capacity.

4. The method as defined in claim 1 wherein the state of the rechargeable battery is a state of power (SOP) determined by estimating the current as a function of time based on the parameters and estimating a charging power capability of the rechargeable battery based on the estimated current as a function of time and a maximum voltage.

5. The method as defined in claim 1 wherein the state of the rechargeable battery is a state of power (SOP) determined by estimating the current as a function of time based on the parameters and estimating a discharging power capability of the rechargeable battery based on the estimated current as a function of time and a minimum voltage.

10. The method as defined in claim 1 wherein the determining the charging state of the rechargeable battery includes assuming that a discharging state of the rechargeable battery is zero.

11. The method as defined in claim 1 wherein the determining the discharging state of the rechargeable battery includes assuming that a charging state of the rechargeable battery is zero.

6. A control system for a vehicle, comprising:

a module including a rechargeable battery;

a first device for measuring a magnitude and direction of current flowing through the rechargeable battery;

a second device for measuring a voltage of the battery; and

a controller operatively associated with the module, the controller including a processor operatively coupled to a memory and to a computer-readable medium encoded with computer-readable instructions to utilize measured current and voltage obtained from the first and second devices, respectively, to predict a state of the rechargeable battery, the computer-readable instructions to;

determine that the battery is charging based on the current being positive, or that the battery is discharging based on the current being negative;

determine a time derivative of the current and a time derivative of the voltage;

estimate, based on results of an execution of a weighted recursive least squares regression of a linear solution of an equivalent circuit for the battery, for time intervals over a time duration, parameters including the voltage of the rechargeable battery, an open circuit voltage of the rechargeable battery, and a high-frequency resistance of the rechargeable battery;

estimate, based on the results of the execution of the weighted recursive least squares regression of the linear solution of the equivalent circuit for the battery, for the time intervals over the time duration, if the battery is charging, the parameters further including a charge-transfer resistance, current and capacitance of the rechargeable battery for a charging state and excluding a charge-transfer resistance, current and capacitance of the rechargeable battery for a discharging state;

estimate, based on the results of the execution of the weighted recursive least squares regression of the linear solution of the equivalent circuit for the battery, for the time intervals over the time duration, if the battery is discharging, the parameters further including the charge-transfer resistance, current and capacitance of the rechargeable battery for the discharging state and excluding the charge-transfer resistance, current and capacitance of the rechargeable battery for the charging state; and

estimate the state of the rechargeable battery for the time intervals over the time duration based on the parameters.

7. The control system as defined in claim 6 wherein the state of the rechargeable battery is a state of charge (SOC) determined by the processor by summing a product of a weighting factor and a state of charge during a charging state of the rechargeable battery and an other product of the state of charge with respect to the open circuit voltage of the rechargeable battery and a difference of the weighting factor from unity.

8. The control system as defined in claim 7 wherein the state of charge during the charging state of the rechargeable battery is determined by comparing a time integration of the current to a nominal battery capacity.

9. The control system as defined in claim 6 wherein:

i) the state of the rechargeable battery is a state of power (SOP) determined by estimating the current as a function of time based on the parameters and estimating a charging power capability of the rechargeable battery based on the estimated current as a function of time and a maximum voltage; and

ii) the state of the rechargeable battery is a state of discharging power determined by estimating the current as a function of time based on the parameters and estimating a discharging power capability of the rechargeable battery based on the estimated current as a function of time and a minimum voltage.

12. A computer-readable non-transitory, tangible medium encoded with a computer program that includes computer-readable code for determining a state of a rechargeable battery device in real time, the computer-readable instructions to:

determine that the battery is charging based on the current being positive, or that the battery is discharging based on the current being negative;

determine a time derivative of the current and a time derivative of the voltage;

estimate, based on results of an execution of a weighted recursive least squares regression of a linear solution of an equivalent circuit for the battery, for time intervals over a time duration, parameters including the voltage of the rechargeable battery, an open circuit voltage of the rechargeable battery, a high-frequency resistance of the rechargeable battery;

estimate, based on the results of the execution of the weighted recursive least squares regression of the linear solution of the equivalent circuit for the battery, for the time intervals over the time duration, if the battery is charging, the parameters further including a charge-transfer resistance, current and capacitance of the rechargeable battery for a charging state and excluding a charge-transfer resistance, current and capacitance of the rechargeable battery for a discharging state;

estimate, based on the results of the execution of the weighted recursive least squares regression of the linear solution of the equivalent circuit for the battery, for the time intervals over the time duration, if the battery is discharging, the parameters further including the charge-transfer resistance, current and capacitance of the rechargeable battery for the discharging state and excluding the charge-transfer resistance, current and capacitance of the rechargeable battery for the charging state; and

estimate the state of the rechargeable battery for the time intervals over the time duration based on the parameters.