ABNORMALITY PREDICTION SYSTEM FOR SECONDARY BATTERIES

• US 20110077881A1
• Filed: 09/28/2010
• Published: 03/31/2011
• Est. Priority Date: 09/29/2009
• Status: Active Grant

• Current Assignee: Mitsubishi Heavy Industries, Ltd.
• Original Assignee: Mitsubishi Heavy Industries, Ltd.
• Inventors: Kobayashi, Katsuaki, Matsumura, Hitoshi, Uchida, Masataka, Ohishi, Masazumi, Tajima, Hidehiko, Shigemizu, Tetsuro
• Granted Patent: US 8,463,564 B2
• Time in Patent Office: Days
• US Class Current: 702/63
• CPC Class Codes: G01R 31/396 Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
• CPC Class Codes: H01M 10/0525 Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodes; Lithium-ion batteries
• CPC Class Codes: H01M 10/4207 for several batteries or cells simultaneously or sequentially
• CPC Class Codes: H01M 10/4285 Testing apparatus
• CPC Class Codes: H01M 10/482 for several batteries or cells simultaneously or sequentially
• CPC Class Codes: H01M 10/486 for measuring temperature
• CPC Class Codes: Y02E 60/10 Energy storage using batteries

Abstract

An abnormality prediction system for secondary batteries according to the present invention includes: a parameter value detection portion that detects parameter values each corresponding to each of a plurality of secondary batteries to determine whether all the parameter values are normal or not; and a singular state determination portion that determines, if a difference between a reference value calculated by use of all the parameter values determined to be normal by the parameter value detection portion and at least one of the parameter values is not less than a threshold value, the secondary battery corresponding to the parameter value with the difference not less than the threshold value to be in a state different from those of the other secondary batteries out of the plurality of secondary batteries.

Claims

1. An abnormality prediction system for a plurality of secondary batteries, comprising:

a parameter value detection portion that detects parameter values respectively corresponding to each of the plurality of secondary batteries, and that determines whether all the parameter values are normal or not; and

a singular state determination portion that determines, if a difference between a reference value calculated by use of all the parameter values determined to be normal by the parameter value detection portion and at least one of the parameter values is not less than a threshold value, the secondary battery corresponding to the parameter value with the difference not less than the threshold value to be in a state different from those of other secondary batteries out of the plurality of secondary batteries.

2. The abnormality prediction system for secondary batteries according to claim 1, wherein the reference value is an average value of all the parameter values determined to be normal.

3. The abnormality prediction system for secondary batteries according to claim 1, wherein the reference value is a standard deviation of all the parameter values determined to be normal.

4. The abnormality prediction system for secondary batteries according to claim 1, wherein

in each of the plurality of secondary batteries, a positive electrode and a battery can are electrically connected to each other, and

the parameter value is a can potential.

5. The abnormality prediction system for secondary batteries according to claim 2, wherein

in each of the plurality of secondary batteries, a positive electrode and a battery can are electrically connected to each other, and

the parameter value is a can potential.

6. The abnormality prediction system for secondary batteries according to claim 3, wherein

in each of the plurality of secondary batteries, a positive electrode and a battery can are electrically connected to each other, and

the parameter value is a can potential.

7. The abnormality prediction system for secondary batteries according to claim 1, further comprising:

a display portion that displays, on receiving a determination by the singular state determination portion, a result of the determination; and

an electrical load that is driven by the secondary batteries.

8. An abnormality prediction system for a plurality of secondary batteries, comprising:

a parameter value detection portion that detects parameter values corresponding to each of the plurality of secondary batteries;

a parameter value obtaining portion that obtains the parameter values and determines whether the parameter values are in normal range or not; and

a singular state determination portion that determines, based on the parameter values which are determined to be in normal, whether one of the secondary batteries is in a singular state or not, the singular state being a state where the parameter value of the secondary battery is away from those of other secondary batteries during the time in which the parameter values are in the normal range.

9. The abnormality prediction system for a plurality of secondary batteries according to the claim 8, further comprising:

a voltmeter that detects a voltage value of each of the secondary batteries, as the parameter value,

wherein the parameter value detection portion specifies a secondary battery out of the secondary batteries by use of the voltage value, and wherein the parameter value detection portion outputs the voltage value with an ID of the specified secondary battery.

10. The abnormality prediction system for a plurality of secondary batteries according to the claim 8,

wherein the singular state determination portion determines whether one of the secondary batteries is in the singular state or not, in case that the parameter value of the secondary battery is away from those of other secondary batteries at a time.

11. The abnormality prediction system for a plurality of secondary batteries according to the claim 8,

wherein the singular state determination portion determines whether one of the secondary batteries is in the singular state or not, in case that the parameter value of the secondary battery is away from those of other secondary batteries over a period of time.

12. The abnormality prediction system for a plurality of secondary batteries according to the claim 8,

wherein the parameter value detection portion detects several kinds of the parameter values, and wherein the parameter value obtaining portion obtains the several kinds of the parameter values and determines whether the several kinds of the parameter values are in the normal range or not, and wherein the singular state determination portion determines, based on the several kinds of the parameter values, whether one of the secondary batteries is in the singular state or not.

13. The abnormality prediction system for a plurality of secondary batteries according to the claim 12,

wherein the singular state determination portion determines that one of the secondary batteries is in the singular state, in case that two or more parameter values of the secondary battery are away from those of other secondary batteries.

14. The abnormality prediction system for secondary batteries according to claims 9, further comprising:

a possible warning target output portion that outputs the ID of the secondary battery which is in the singular state; and

a display portion that displays an information as to the secondary battery which is in the singular state, based the ID of the secondary battery.

15. The abnormality prediction system for secondary batteries according to claim 9, further comprising;

a control apparatus that receives the ID of the secondary battery, and records the ID as a flag in a memory.

16. The abnormality prediction system for secondary batteries according to claim 8,

wherein the singular state is determined in case that a difference between a reference value and the parameter value of the secondary battery is not less than threshold value, and wherein the reference value is calculated by use of the parameter values which are determined to be in normal.