METHOD FOR DETERMINING THE STATE OF HEALTH OF A BATTERY

• US 20100244846A1
• Filed: 03/23/2010
• Published: 09/30/2010
• Est. Priority Date: 03/24/2009
• Status: Active Grant

• Current Assignee: SAFT Groupe SA (Totalenergies Se)
• Original Assignee: SAFT Groupe SA (Totalenergies Se)
• Inventors: LAFLAQUIERE, Philippe, DESPREZ, Philippe
• Granted Patent: US 8,269,502 B2
• Time in Patent Office: Days
• US Class Current: 324/427
• CPC Class Codes: G01R 31/389 Measuring internal impedance, internal conductance or related variables
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health

Abstract

A method for determining the state of health (SOH) of a battery is provided in which cell impedance is determined continuously, and including determining one or more confidence coefficients that depend on one or several variables selected from cell current, temperature or state of charge or their derivatives or integrals with respect to time, and continuously determining the state of health of the battery at a given point in time, using the state of health of the battery at a preceding point in time corrected as a function of cell impedance determined at the given point in time and weighted by the confidence coefficient or coefficients. The method provides a reliable way of determining the state of health of the battery with greater stability and robustness than existing methods.

Claims

1. A method for determining the state of health (SOH) of a battery comprising at least one rechargeable cell, the method including the steps of:

determining a state of charge (SOC) for at least one cell;

determining in real time an impedance of at least one cell (R_mes,n);

determining at least one confidence coefficient accounting on reliability of the impedance as a function of at least one variable selected from current, temperature or state of charge of the at least one rechargeable cell, or the derivatives or integrals thereof with respect to time;

determining in real time the state of health of the battery at a given point in time (SOH_n), using the state of health of the battery at a preceding point in time (SOH_n-1) corrected as a function of said impedance at the given point in time (R_mes,n) and weighted by the at least one confidence coefficient.

2. The method according to claim 1 further including filtering in the time domain the value of the state of health of the battery determined at said given point in time (SOH_n), using a filter time constant (x) selected such that a ratio of filter time constant to time step of the determination (x/(t_n−

t_n-1)) is greater than or equal to 10⁴.

3. The method according to claim 1, further including filtering in the time domain the value of the impedance determined at the given point in time (R_mes,n) using a filter time constant (r) selected such that a ratio of filter time constant to time step of the determination (r/(t_n−

t_n-1)) is greater than or equal to 1000.

4. The method according to claim 1, further including calculating an intermediate state of health at said given point in time (SOH_int,n) as a ratio of impedance at the given point in time (R_mes,n) to impedance of the cell in its new condition (R_new) under the same conditions of temperature, wherein determination of state of health of the battery at the given point in time (SOH_n) is a function of the state of health of the battery at the preceding point in time (SOH_n-1) and the calculated intermediate state of health (SOH_int,n).

5. The method according to claim 4, in which the state of health of the battery at the given point in time (SOH_n) is determined using the following relation:

SOH_n=SOH_n-1+(G·

H·

I)·

SOH_int,n

6. The method of claim 5, further including the steps of:

filtering in the time domain the value of the state of health of the battery determined at said given point in time (SOH_n), using a filter time constant (x) selected such that a ratio of filter time constant to time step of the determination (x/(t_n−

t_n-1)) is greater than or equal to 10⁴;

calculating an index of confidence (IndConf_SOH_n) for the value of the state of health of the battery determined at the given point in time (SOH_n), said index of confidence being calculated as follows;

IndConf_SOH_n=[x*IndConf_SOH_n-1+(G*H*I)]/(x+1),

with IndConf_SOH_n-1 being the index of confidence at the preceding point in time, x being the filter time constant and G, H and I being the confidence coefficients function of current, temperature and state of charge respectively.

7. The method according to claim 1, in which the state of health of the battery at the given point in time (SOH_n) is determined using a Boolean method according to the following relations:

If (R_mes,n)>

aa*R_n+bb,

then SOH_n=SOH_n-1+a*(G*H*I)

otherwise SOH_n=SOH_n-1−

b*(G*H*I)

with R_n=SOH_n-1*R_new, where R_new is the value of the impedance of the cell in its new state and aa, bb decimal determining coefficients of the Boolean relation,

G, H and I being the confidence coefficients function of current, temperature and state of charge respectively and

a and b being decimal coefficients for correcting the value of the state of health of the battery at the given point in time.

8. The method according to claim 1, in which the state of health of the battery at the given point in time (SOH_n) is determined using a Boolean method according to the following relations:

If (R_mes,n)>

aa*R_n+bb,

then SOH_n=SOH_n-1+a*(G*H*I)

otherwise if (R_mes,n)<

(2−

aa)*R_n−

bb

then SOH_n=SOH_n-1−

a*(G*H*I)

otherwise SOH_n=SOH_n-1

with R_n=SOH_n-1*R_new, where R_new is the value of the impedance of the cell in its new state and aa, bb decimal determining coefficients of the Boolean relation,

G, H and I being the confidence coefficients function of current, temperature and state of charge respectively and a being a decimal coefficient for correcting the value of the state of health of the battery at the given point in time.

9. The method of claim 7, further including a step of calculating an index of confidence (IndConf_SOH_n) for the value of the state of health of the battery determined at the given point in time (SOH_n), said index of confidence being calculated as follows:

IndConf_SOH_n=[IndConf_SOH_n-1+a*(G*H*I)]/(1+a).

with IndConf_SOH_n-1 being the index of confidence at the preceding point in time, a being the decimal coefficient for correcting the value of the state of health of the battery at the given point in time and G, H and I being the confidence coefficients function of current, temperature and state of charge respectively,

10. The method according to claim 1, in which a time step (t_n−

t_n-1) for the real time determination is chosen between 10 ms and 1 s.

11. The method according to claim 6, in which a time step (t_n−

t_n-1) for the real time determination is chosen between 10 ms and 1 s.

12. The method according to claim 9, in which a time step (t_n−

t_n-1) for the real time determination is chosen between 10 ms and 1 s.

13. The method according to claim 1, in which determination of the impedance of at least one cell at the given point in time (R_mes,n) is performed by measuring cell current and voltage.

14. The method according to claim 1, in which determination of the impedance of at least one cell at the given point in time (R_mes,n), is performed using a Kalman algorithm.

15. An electronic system for managing state of health (SOH) of a battery comprising at least one rechargeable cell, the system including:

means for measuring in real time an impedance (R_mes,n) of at least one cell;

electronic means adapted to—

determine a state of charge (SOC) for at least one cell;

determine at least one confidence coefficient accounting on reliability of the impedance as a function of at least one variable selected from current, temperature or state of charge of the at least one rechargeable cell, or the derivatives or integrals thereof with respect to time;

determine in real time the state of health of the battery at a given point in time (SOH_n), using the state of health of the battery at a preceding point in time (SOH_n-1) corrected as a function of said impedance at the given point in time (R_mes,n) and weighted by the at least one confidence coefficient.

16. The electronic system according to claim 15, further including means for measuring in real time temperature of at least one cell.

17. The electronic system according to claim 15, further including means for controlling battery charging and/or discharge as a function of the state of health (SOH) determined.

18. A battery comprising:

at least one electrochemical cell;

an electronic system including;

means for measuring in real time an impedance (R_mes,n) of at least one cell;

means for measuring in real time temperature of at least one cell;

electronic means adapted to

determine a state of charge (SOC) for at least one cell;

determine at least one confidence coefficient accounting on reliability of the impedance as a function of at least one variable selected from current, temperature or state of charge of the at least one rechargeable cell, or the derivatives or integrals thereof with respect to time;

determine in real time the state of health of the battery at a given point in time (SOH_n), using the state of health of the battery at a preceding point in time (SOH_n-1) corrected as a function of said impedance at the given point in time (R_mes,n) and weighted by the at least one confidence coefficient.