Automatic determination of baselines for battery testing

• US 8,738,310 B2
• Filed: 12/08/2010
• Issued: 05/27/2014
• Est. Priority Date: 12/08/2010
• Status: Expired due to Fees

• Current Assignee: Biourja Energy Systems, Llc
• Original Assignee: Paul Swanton
• Inventors: Swanton, Paul
• Primary Examiner(s): LE, TOAN M
• APPLICATION: US 20120150464A1
• Time in patent office: 1266 Days
• Field of Search: 702/63, 702 57- 60, 702 64- 68, 702 70- 73, 702/75, 702/81, 702 84- 85, 702/99, 702/117, 702/127, 702130-131, 702/136, 702/179, 702181-185, 702/189, 702/193, 320/116, 320/118, 320/120, 320124-125, 320/127, 320/130, 320/132, 320/134, 320/136, 320/166, 324 7611- 7613, 324 7665- 7667, 324426-427, 324429-434, 324600-603, 324/605, 324/650, 324/691, 340/635, 340/636.1, 34063611-63612, 34063615-63616, 34063618-63619, 340/636.21, 340657-658, 340660-663, 374/100, 374/102, 374/137
• US Class Current: 702/63
• CPC Class Codes: G01R 31/371 with remote indication, e.g. on external chargers
• 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

Baseline values for battery testing are automatically determined for individual batteries, battery cells, or networks of batteries. Impedance information is obtained from individual batteries and adjusted for operating conditions at a site of use (e.g., temperature, age, connection topology and user-entered information). Population-referenced baselines are automatically calculated from the group of individual-referenced baselines. All baselines can be continually updated and improved. SOC and SOH characteristics of batteries in the network can be automatically determined by comparison of measured impedance, and other, values to said baselines.

Claims

1. A method for automatically generating baselines for impedance-based battery testing, the method comprising:

obtaining individual impedance information for each battery unit in a network of batteries by measuring the response of the battery to a defined electrical excitation signal;

calculating an individual-referenced baseline for each battery unit from the individual impedance information;

adjusting the individual-referenced baselines to account for a temperature associated with each battery unit;

adjusting the individual-referenced baselines to account for a calendar age associated with each battery unit, using a microprocessor; and

calculating a first population-referenced baseline from the individual-referenced-baselines as adjusted, for a first point in time.

2. The method of claim 1, further comprising:

identifying a deviation from the population-referenced baseline that exceeds a pre-determined threshold and is correlated to a condition.

3. The method of claim 1, further comprising:

determining a condition for a battery in the network of batteries by comparing the individual-referenced baseline of the battery to the population-referenced baseline.

4. The method of claim 3, further comprising:

determining a distribution of the condition within the network of batteries by comparing the individual-referenced baselines of the batteries in the network to the population-referenced baseline.

5. The method of claim 4, further comprising:

determining a condition for the network of batteries as a whole by assessment of the distribution of the condition within the network of batteries.

6. The method of claim 1, further comprising:

calculating a second population-referenced baseline in the same manner as the first, from a second round of gathering individual impedance information at a second point in time occurring subsequent to the first point in time; and

updating the first population-referenced baseline to include data from the second population-referenced baseline.

7. The method of claim 1, further comprising:

receiving a user adjustment to either one of the individual-referenced baselines, or to the population-referenced baseline.

8. The method of claim 7, wherein receiving the user adjustment comprises receiving a reference baseline provided by a manufacturer.

9. The method of claim 1, further comprising:

receiving non-impedance information, and

performing an automated adjustment to either one of the individual-referenced baselines, or to the population-referenced baseline.

10. The method of claim 9, wherein the non-impedance information comprises one or more of a battery voltage, a differential in battery voltage due to a quantified movement of charge into or out of a battery, a battery temperature, a battery terminal temperature, a differential in temperature between battery terminals related to a movement of charge, whether quantified or non-quantified, into or out of a battery, a battery electrolyte specific gravity, a battery or battery network life fraction, a battery amp hour capacity, or a battery or network state of charge as determined by coulomb counting.

11. The method of claim 1, further comprising:

determining a condition for a battery in the network of batteries by comparing impedance information subsequently gathered from the battery to the population-referenced baseline.

12. The method of claim 11, further comprising:

determining a distribution of the condition within the network of batteries by comparing impedance information subsequently gathered from the batteries in the network to the population-referenced baseline.

13. The method of claim 12, further comprising:

determining a condition for the network of batteries as a whole by assessment of the distribution of the condition within the network of batteries.

14. The method of claim 1, further comprising:

determining a condition for an individual battery in the network of batteries by comparing impedance information subsequently gathered from the battery to the individual-referenced baseline for the battery.

15. The method of claim 14, further comprising:

determining the evolution over time of a condition for an individual battery in the network of batteries by comparing impedance information subsequently gathered from the battery on separate occasions over time to the individual-referenced baseline for the battery.

16. The method of claim 1, wherein the impedance information comprises a phase-sensitive vector parameter defined by a magnitude and a phase angle.

17. The method of claim 1, wherein the impedance information comprises a phase-insensitive scalar parameter defined by a single numerical value and unit.

18. The method of claim 1, wherein the impedance information comprises a representation or construct mathematically derived from a measured vector or scalar parameter value or values.

19. The method of claim 1, wherein the impedance information is collected while the network of batteries is at a known, nominally uniform, state of charge that is less than a full state of charge.

20. The method of claim 1, wherein the network of batteries is in active use powering a hybrid-electric or electric automobile, locomotive, or industrial crane.

21. The method of claim 1, wherein the information collected comprises a combination of impedance information and non-impedance information.

22. A method for automatically generating baselines for impedance-based battery testing, the method comprising:

obtaining individual impedance information for each battery unit in a network of batteries by measuring the response of the battery to a defined electrical excitation signal, wherein the impedance information comprises a representation of a dynamic response of an impedance parameter of one of the battery units to a known perturbation, the dynamic response being related to a condition of the battery unit, the perturbation being produced by the usage to which the battery network is subject;

calculating an individual-referenced baseline for each battery unit from the individual impedance information;

adjusting the individual-referenced baselines to account for a temperature associated with each battery unit;

adjusting the individual-referenced baselines to account for a calendar age associated with each battery unit, using a microprocessor; and

calculating a first population-referenced baseline from the individual-referenced-baselines as adjusted, for a first point in time.

23. The method of claim 22, wherein the perturbation consists of a quantified movement of charge into or out of the battery.

24. The method of claim 23, wherein the quantified movement of charge takes place at a known beginning or ending state of charge of the battery.

25. The method of claim 22, wherein the perturbation consists of a quantified change in temperature of the battery.

26. The method of claim 22, wherein the perturbation consists of a quantified change in a temperature differential between a positive and negative terminal pair of the battery.

27. The method of claim 22, further comprising:

identifying a deviation from the population-referenced baseline that exceeds a pre-determined threshold and is correlated to a condition.

28. The method of claim 22, further comprising:

determining a condition for a battery in the network of batteries by comparing the individual-referenced baseline of the battery to the population-referenced baseline.

29. The method of claim 28, further comprising:

determining a distribution of the condition within the network of batteries by comparing the individual-referenced baselines of the batteries in the network to the population-referenced baseline.

30. The method of claim 29, further comprising:

determining a condition for the network of batteries as a whole by assessment of the distribution of the condition within the network of batteries.

31. The method of claim 22, further comprising:

calculating a second population-referenced baseline in the same manner as the first, from a second round of gathering individual impedance information at a second point in time occurring subsequent to the first point in time; and

updating the first population-referenced baseline to include data from the second population-referenced baseline.

32. The method of claim 22, further comprising:

receiving a user adjustment to either one of the individual-referenced baselines, or to the population-referenced baseline.

33. The method of claim 32, wherein receiving the user adjustment comprises receiving a reference baseline provided by a manufacturer.

34. The method of claim 22, further comprising:

receiving non-impedance information, and

performing an automated adjustment to either one of the individual-referenced baselines, or to the population-referenced baseline.

35. The method of claim 34, wherein the non-impedance information comprises one or more of a battery voltage, a differential in battery voltage due to a quantified movement of charge into or out of a battery, a battery temperature, a battery terminal temperature, a differential in temperature between battery terminals related to a movement of charge, whether quantified or non-quantified, into or out of a battery, a battery electrolyte specific gravity, a battery or battery network life fraction, a battery amp hour capacity, or a battery or network state of charge as determined by coulomb counting.

36. The method of claim 22, further comprising:

determining a condition for a battery in the network of batteries by comparing impedance information subsequently gathered from the battery to the population-referenced baseline.

39. The method of claim 22, further comprising:

determining a condition for an individual battery in the network of batteries by comparing impedance information subsequently gathered from the battery to the individual-referenced baseline for the battery.

40. The method of claim 39, further comprising:

determining the evolution over time of a condition for an individual battery in the network of batteries by comparing impedance information subsequently gathered from the battery on separate occasions over time to the individual-referenced baseline for the battery.

41. The method of claim 22, wherein the impedance information comprises a phase-sensitive vector parameter defined by a magnitude and a phase angle.

42. The method of claim 22, wherein the impedance information comprises a phase-insensitive scalar parameter defined by a single numerical value and unit.

43. The method of claim 22, wherein the impedance information comprises a representation or construct mathematically derived from a measured vector or scalar parameter value or values.

44. The method of claim 22, wherein the impedance information is collected while the network of batteries is at a known, nominally uniform, state of charge that is less than a full state of charge.

45. The method of claim 22, wherein the network of batteries is in active use powering a hybrid-electric or electric automobile, locomotive, or industrial crane.

46. The method of claim 22, wherein the known perturbation is a time dependent voltage.

37. The method of 36, further comprising:

determining a distribution of the condition within the network of batteries by comparing impedance information subsequently gathered from the batteries in the network to the population-referenced baseline.

38. The method of 37, further comprising:

determining a condition for the network of batteries as a whole by assessment of the distribution of the condition within the network of batteries.

47. A computer program product comprising

program code stored on a non-transitory computer-readable medium for automatically generating baselines for impedance-based battery testing, the computer product comprising program code for:

obtaining individual impedance information for each battery unit in a network or other population of batteries by utilizing the response of the battery to a defined electrical excitation signal;

calculating an individual-referenced baseline for each battery unit from the individual impedance information;

adjusting the individual-referenced baselines to account for a temperature associated with each battery unit;

adjusting the individual-referenced baselines to account for a calendar age or life fraction associated with each battery unit; and

calculating a first population-referenced baseline from the individual-referenced-baselines as adjusted, for a first point in time.

48. The computer program product of claim 47, further comprising the program code for automatically:

calculating a second population-referenced baseline in the same manner as the first, from a second round of gathering individual impedance information at a second point in time occurring subsequent to the first point in time; and

updating the first population-referenced baseline to include data from the second population-referenced baseline.

49. The computer program product of claim 47, further comprising the computer code for:

receiving a user adjustment to either one of the individual-referenced baselines, or to the population-referenced baseline.

50. The computer program product of claim 49, further comprising the computer code for:

receiving non-impedance information, and

performing an automated adjustment to either one of the individual-referenced baselines, or to the population-referenced baseline.

51. The computer program product of claim 50, wherein the non-impedance information comprises one or more of battery voltage, a differential in battery voltage due to a quantified movement of charge into or out of the battery, battery temperature, battery terminal temperature, a differential in temperature between battery terminals related to a movement of charge, whether quantified or non-quantified, into or out of the battery, electrolyte specific gravity, battery amp hour capacity or battery state of charge as determined by coulomb counting.

52. A system for automatically generating baselines for impedance-based battery testing, system comprising:

means for obtaining individual impedance information for each battery unit in a network or other population of batteries by utilizing the response of the battery to a defined electrical excitation signal;

means for calculating an individual-referenced baseline for each battery unit from the individual impedance information;

means for adjusting the individual-referenced baselines to account for a temperature associated with each battery unit;

means for adjusting the individual-referenced baselines to account for a calendar age or life fraction associated with each battery unit; and

means for calculating a first population-referenced baseline from the individual-referenced-baselines as adjusted, for a first point in time.

53. The system of claim 52, further comprising:

means for calculating a second population-referenced baseline in the same manner as the first, from a second round of gathering individual impedance information at a second point in time occurring subsequent to the first point in time; and

means for updating the first population-referenced baseline to include data from the second population-referenced baseline.

54. The system of claim 52, further comprising:

means for receiving a user adjustment to either one of the individual-referenced baselines, or to the population-referenced baseline.

55. The system of claim 54, further comprising:

means for receiving non-impedance information, and

means for performing an automated adjustment to either one of the individual-referenced baselines, or to the population-referenced baseline.

56. The system of claim 55, wherein the non-impedance information comprises one or more of battery voltage, a differential in battery voltage due to a quantified movement of charge into or out of the battery, battery temperature, battery terminal temperature, a differential in temperature between battery terminals related to a movement of charge, whether quantified or non-quantified, into or out of the battery, electrolyte specific gravity, battery amp hour capacity or battery state of charge as determined by coulomb counting.