Full Charge Sensing Apparatus And Full Charge Sensing Method

• US 20130154577A1
• Filed: 02/18/2013
• Published: 06/20/2013
• Est. Priority Date: 12/20/2010
• Status: Active Grant

• Current Assignee: Furukawa Automotive Systems Incorporated (Furukawa Electric Company Limited), Furukawa Electric Company Limited
• Original Assignee: Furukawa Automotive Systems Incorporated (Furukawa Electric Company Limited), Furukawa Electric Company Limited
• Inventors: IWANE, Noriyasu, MITSUYAMA, Taiji, NOMOTO, Shinichi, TSUYUKI, Mamichi, SATO, Etsuzo, MIHALFFY, Tamas, KOVATS, Antal
• Granted Patent: US 9,153,988 B2
• Time in Patent Office: Days
• US Class Current: 320/162
• 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
• CPC Class Codes: H01M 10/425 Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing printed circuits H05K1/00
• CPC Class Codes: H01M 10/48 Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569
• CPC Class Codes: H01M 2010/4271 Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
• CPC Class Codes: H02J 7/00 Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
• CPC Class Codes: H02J 7/0049 Detection of fully charged condition
• CPC Class Codes: H02J 7/00712 the cycle being controlled or terminated in response to electric parameters
• CPC Class Codes: H02J 7/00714 in response to battery charging or discharging current
• CPC Class Codes: H02J 7/04 Regulation of charging current or voltage
• CPC Class Codes: Y02E 60/10 Energy storage using batteries

Abstract

A full charge sensing apparatus for sensing a fully charged state of a secondary battery based on an equivalent circuit model of the secondary battery includes a measuring unit that measures a voltage and a current during charging of the secondary battery, a learning unit that performs a learning process on a plurality of parameters in the equivalent circuit model using a result of measurement of the measuring unit, and a determining unit that determines that the secondary battery is in a fully charged state in a case where, among the parameters on which the learning process has been performed by the learning unit, a parameter corresponding to a reaction resistance of the secondary battery is greater than a predetermined threshold.

Claims

1. A full charge sensing apparatus for sensing a fully charged state of a secondary battery based on an equivalent circuit model of the secondary battery, the apparatus comprising:

a measuring unit that measures a voltage and a current during charging of the secondary battery;

a learning unit that performs a learning process on a plurality of parameters in the equivalent circuit model using a result of measurement of the measuring unit; and

a determining unit that determines that the secondary battery is in a fully charged state in a case where, among the parameters on which the learning process has been performed by the learning unit, a parameter corresponding to a reaction resistance of the secondary battery is greater than a predetermined threshold.

2. The full charge sensing apparatus according to claim 1, wherein one of the learning unit and the detecting unit corrects one of a value of the reaction resistance and the threshold based on a value of the current.

3. The full charge sensing apparatus according to claim 1, wherein one of the learning unit and the detecting unit corrects one of a value of the reaction resistance and the threshold based on a temperature of the secondary battery.

4. The full charge sensing apparatus according to claim 1, wherein one of the learning unit and the detecting unit corrects one of a value of the reaction resistance and the threshold based on a state of degradation of the secondary battery.

5. The full charge sensing apparatus according to claim 1, wherein the learning unit optimizes the plurality of parameters by a Kalman filter operation in such a manner that errors between values of the voltage and the current measured by the measuring unit and a response of the equivalent circuit model are minimized.

6. The full charge sensing apparatus according to claim 1, wherein the learning unit optimizes the plurality of parameters by a least square operation in such a manner that errors between values of the voltage and the current measured by the measuring unit and a response of the equivalent circuit model are minimized.

7. The full charge sensing apparatus according to claim 1, wherein the learning unit optimizes the plurality of parameters by a neural network in such a manner that errors between values of the voltage and the current measured by the measuring unit and a response of the equivalent circuit model are minimized.

8. The full charge sensing apparatus according to claim 1, wherein the learning unit optimizes the plurality of parameters by a support vector machine in such a manner that errors between values of the voltage and the current measured by the measuring unit and a response of the equivalent circuit model are minimized.

9. A secondary battery power source system having the full charge sensing apparatus according to claim 1.

10. A full charge sensing method of sensing a fully charged state of a secondary battery based on an equivalent circuit model of the secondary battery, the method comprising:

measuring a voltage and a current during charging of the secondary battery;

performing a learning process on a plurality of parameter in the equivalent circuit model using a result of said measuring of a voltage and a current during charging of the secondary battery; and

performing a determination in which the secondary battery is determined to be in a fully charged state in a case where a parameter corresponding to a reaction resistance of the secondary battery is greater than a predetermined threshold, the parameter corresponding to the reaction resistance of the secondary battery being one of the parameters on which the learning process has been performed.

11. The method according to claim 10 wherein said learning process is performed by a processor in cooperation with a memory.

12. The method according to claim 10 wherein said determination is performed by a processor in cooperation with a memory.

13. The method according to claim 10 wherein said learning process and said determination are performed by a processor in cooperation with a memory.