Battery diagnosis apparatus and battery diagnosis method based on current pulse method
A battery diagnosis apparatus and a battery diagnosis method for accurately diagnosing a secondary battery are proposed. A pulse current generator, a voltage measuring instrument that measures a voltage response to application of a current pulse, a first data processing device that obtains a chronopotentiogram (CP) indicating a change in the voltage response over time and normalizes the CP, a database that saves normalized data, and a second data processing device that uses a correlation between the saved data and a battery state expressing factor prepared in advance to make a battery diagnosis are used. Desirably, the current pulse is a current in the same direction at the time of data obtainment and at the time of a diagnosis. Further, a noise filter for an input signal of the CP and resampling means for reducing the number of pieces of data input to the first data processing device are provided.
1. A battery diagnosis apparatus based on a current pulse method, the battery diagnosis apparatus comprising:
a pulse current generator that applies a single current pulse to a secondary battery that is a measurement target;
a voltage measuring instrument that measures a voltage response made in response to application of the single current pulse;
a first data processing device that obtains a chronopotentiogram indicating a change in the voltage response over time and performs normalization of the chronopotentiogram; and
a second data processing device that receives data of the normalized chronopotentiogram, wherein
the second data processing device makes a battery diagnosis in which the second data processing device estimates, from normalized data regarding the secondary battery that is a measurement target, a battery state expressing factor including a life, a temperature, or a state of health and a state of charge of the secondary battery that is a measurement target, by using a correlation between normalized data regarding a secondary battery for extracting a battery state expressing factor, the normalized data being prepared in advance, and a battery state expressing factor,
the current pulse is a constant current pulse that is a constant current in a certain time period,
the secondary battery that is a measurement target and the secondary battery for extracting a battery state expressing factor are made of a component material of the same composition,
both the constant current used for the secondary battery that is a measurement target and the constant current used for the secondary battery for extracting a battery state expressing factor are in a charge direction or in a discharge direction, and
the normalization is normalization in which an apparent transient resistance change function calculated from current values and transient response values of a voltage before and after pulse application is used for a transient resistance curve, and the normalized data is data for which the normalization is performed
to implement a feature of suppressing an influence of a hysteresis phenomenon caused by a difference in a current pulse direction in a battery diagnosis.
2. A battery diagnosis apparatus based on a current pulse method, the battery diagnosis apparatus comprising:
a pulse current generator that applies a current pulse formed of a plurality of current pulses to a secondary battery that is a measurement target;
a voltage measuring instrument that measures a voltage response made in response to application of the current pulse;
a first data processing device that obtains a chronopotentiogram indicating a change in the voltage response over time and performs normalization of the chronopotentiogram; and
a second data processing device that receives data of the normalized chronopotentiogram, wherein
the second data processing device makes a battery diagnosis in which the second data processing device estimates, from normalized data regarding the secondary battery that is a measurement target, a battery state expressing factor including a life, a temperature, or a state of health and a state of charge of the secondary battery that is a measurement target, by using a correlation between normalized data regarding a secondary battery for extracting a battery state expressing factor, the normalized data being prepared in advance, and a battery state expressing factor,
the current pulse is a constant current pulse that is a constant current in a certain time period,
the secondary battery that is a measurement target and the secondary battery for extracting a battery state expressing factor are made of the same component material,
both the constant current used for the secondary battery that is a measurement target and the constant current used for the secondary battery for extracting a battery state expressing factor are in a charge direction or in a discharge direction, and
the normalization is normalization in which an apparent transient resistance change function calculated from current values and transient response values of a voltage before and after pulse application is used for a transient resistance curve, and the normalized data is data for which the normalization is performed
to implement a feature of suppressing an influence of a hysteresis phenomenon caused by a difference in a current pulse direction in a battery diagnosis.
3. The battery diagnosis apparatus based on a current pulse method according to claim 1 , wherein
the current pulse is
a current pulse that is in a charge direction of the secondary battery, has a current value that changes from a predetermined current value including zero to a predetermined constant current value, and is thereafter interrupted.
4. The battery diagnosis apparatus based on a current pulse method according to claim 2 , wherein
the current pulse is
a current pulse that is in a charge direction of the secondary battery, has a current value that changes from a predetermined current value including zero to a predetermined constant current value, and is thereafter interrupted.
5. The battery diagnosis apparatus based on a current pulse method according to claim 1 , wherein
the current pulse is
a current pulse that is in a discharge direction of the secondary battery, has a current value that changes from a predetermined current value including zero to a predetermined constant current value, and is thereafter interrupted.
6. The battery diagnosis apparatus based on a current pulse method according to claim 2 , wherein
the current pulse is
a current pulse that is in a discharge direction of the secondary battery, has a current value that changes from a predetermined current value including zero to a predetermined constant current value, and is thereafter interrupted.
7. The battery diagnosis apparatus based on a current pulse method according to claim 1 , further comprising: a noise filter that reduces noise in an input signal of the voltage measuring instrument; and data resampling means for reducing the number of pieces of data input to the first data processing device.
8. The battery diagnosis apparatus based on a current pulse method according to claim 1 , wherein in the second data processing device, a diagnostic algorithm is installed, the diagnostic algorithm being a diagnostic algorithm for a diagnosis, in which as the correlation regarding the battery state expressing factor including the temperature of the secondary battery that is a measurement target, a correlation extracted by machine learning is used, and the second data processing device diagnoses the temperature to implement, in addition to the feature, a feature of suppressing an influence of a temperature change of a secondary battery.
9. The battery diagnosis apparatus based on a current pulse method according to claim 7 , wherein in the second data processing device, a diagnostic algorithm is installed, the diagnostic algorithm being a diagnostic algorithm for a diagnosis, in which as the correlation regarding the battery state expressing factor including the temperature of the secondary battery that is a measurement target, a correlation extracted by machine learning is used, and the second data processing device diagnoses the temperature to implement, in addition to the above feature, a feature of suppressing an influence of a temperature change of a secondary battery.
10. A battery diagnosis method based on a current pulse method by using the battery diagnosis apparatus based on a current pulse method according to claim 8 , wherein
in extraction of the battery state expressing factor,
for an operation including
(A1) a step of measuring the battery state expressing factor, and
(A2) a step of applying a predetermined current pulse to a secondary battery for extracting the battery state expressing factor,
measuring a change in a response voltage over time obtained in response to the applying by using a voltage measuring instrument, and
normalizing a series of pieces of data of a chronopotentiogram that is a result of the measuring,
(A3) for a plurality of secondary batteries having different battery state expressing factors, correlations between the plurality of normalized pieces of data obtained by performing the operation including the step of A1 and the step of A2 and the plurality of battery state expressing factors are extracted by machine learning, and
in a battery diagnosis,
(B1) a current pulse is applied to a secondary battery that is a measurement target,
(B2) a chronopotentiogram that indicates a change in a voltage response over time made in response to application of the current pulse is obtained,
(B3) the chronopotentiogram is normalized, and
(B4) a diagnostic algorithm using the correlations is applied to data of the normalized chronopotentiogram to estimate a battery state expressing factor
to implement a feature of suppressing an influence of a hysteresis phenomenon caused by a difference in a current pulse direction in a battery diagnosis.
11. The battery diagnosis apparatus based on a current pulse method according to claim 2 , further comprising: a noise filter that reduces noise in an input signal of the voltage measuring instrument; and data resampling means for reducing the number of pieces of data input to the first data processing device.