CN112858943A - Battery health state assessment method and device and related products - Google Patents
Battery health state assessment method and device and related products Download PDFInfo
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- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- G—PHYSICS
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Abstract
The application discloses a battery health state assessment method and device and a related product. In the method, the first type battery cell and the second type battery cell are subjected to endurance tests respectively, so that the health state of the first type battery cell with poor endurance performance in a full life cycle is obtained, and the health state of the second type battery cell (namely, a typical battery cell) in the full life cycle is obtained. And evaluating the SOH of the battery according to the deviation of the health states of the two cells, wherein compared with the evaluation of the SOH of the battery only by a whole pack test in the prior art, the endurance performance span of the reference cell is larger, and the SOH deviation of the cell level is obtained. By utilizing the deviation, the evaluation result of the SOH of the whole battery pack can be more accurate, so that the worst performance of the battery system can be conveniently and accurately evaluated.
Description
Technical Field
The present disclosure relates to the field of battery technologies, and in particular, to a method and an apparatus for evaluating a state of health of a battery, and a related product.
Background
The increasingly serious problems of energy crisis, environmental pollution, greenhouse effect and the like put forward higher requirements on energy conservation and emission reduction for the automobile industry. The development of new energy automobiles has recently become a necessary trend for the revolution of the automobile industry. The power battery is a power source of the electric automobile. In order to ensure safe, stable and efficient operation of an electric vehicle, the battery needs to be managed and controlled as necessary. The State of Health (SOH) of a battery is an important index for evaluating the battery. The SOH of the battery in the whole life cycle can be accurately mastered, so that a basis can be provided for battery diagnosis, the aged battery cell can be timely replaced, and the overall service life of the battery pack is prolonged. Furthermore, the accurate mastering of the SOH of the battery is also of great significance for improving the power performance of the electric automobile.
The SOH of the full life cycle of the battery can be obtained by the evaluation method at present. However, the evaluation is usually performed in whole package, and the most severe condition of the battery in use is often ignored. The lower performance limit of the electric vehicle depends on the worst performance of the battery system, and the SOH estimated from the whole pack of batteries cannot accurately measure the worst performance of the battery system. Therefore, how to improve the accuracy of the SOH evaluation of the battery has become a problem to be solved in the current field.
Disclosure of Invention
Based on the above problems, the present application provides a method and an apparatus for evaluating a state of health of a battery, and a related product, so as to accurately evaluate the worst performance of a battery system.
The embodiment of the application discloses the following technical scheme:
a first aspect of the present application provides a battery state of health assessment method, including:
obtaining health correlation indexes of all battery cores in a battery core set of the battery;
determining a first type battery cell and a second type battery cell from the battery cell set according to the health correlation indexes of all the battery cells; the health correlation index of the second type of cell indicates that the second type of cell is a typical cell in the cell set; the health-related index for the first type of cell indicates that the endurance performance of the first type of cell is worse than the endurance performance of the second type of cell;
performing endurance tests on the first type of battery cell and the second type of battery cell to obtain a health state of the first type of battery cell in a full life cycle and obtain a health state of the second type of battery cell in the full life cycle;
obtaining a deviation between a health state of the first type of cell in a full life cycle and a health state of the second type of cell in the full life cycle;
and evaluating the health state of the battery according to the deviation.
Optionally, the obtaining the health related indexes of all the cells in the cell set of the battery includes:
obtaining the capacity and the direct current internal resistance of all the battery cells in the battery cell set;
determining a first type of battery cell and a second type of battery cell from the battery cell set according to the health correlation indexes of all the battery cells, including:
performing statistical analysis on the capacities of all the battery cells in the battery cell set to obtain a capacity mean value of all the battery cells in the battery cell set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set;
determining a cell, of the cell set, with a capacity lower than a first capacity threshold and a direct-current internal resistance higher than a first internal resistance threshold as the first type of cell; determining a cell, in the cell set, of which the absolute value of the difference between the capacity and the capacity mean value is smaller than a first capacity difference threshold value and the absolute value of the difference between the direct-current internal resistance and the direct-current internal resistance mean value is smaller than a first resistance difference threshold value, as a second type cell;
the first capacity threshold is lower than the capacity mean; the first internal resistance threshold value is higher than the mean value of the direct current internal resistances.
Optionally, the obtaining the health related indexes of all the cells in the cell set of the battery includes:
obtaining the capacity and the direct current internal resistance of all the battery cells in the battery cell set;
determining a first type of battery cell and a second type of battery cell from the battery cell set according to the health correlation indexes of all the battery cells, including:
performing statistical analysis on the capacities of all the battery cells in the battery cell set to obtain a capacity mean value of all the battery cells in the battery cell set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set;
determining the cell with the lowest capacity and the highest direct-current internal resistance in the cell set as the first type cell; and determining the battery cell with the capacity matched with the average capacity value and the direct current internal resistance matched with the average direct current internal resistance value in the battery cell set as a second type battery cell.
Optionally, said evaluating the state of health of the battery according to the deviation comprises:
obtaining a whole pack of health state results of the battery in a full life cycle;
and correcting the whole pack of health state results of the battery in the whole life cycle by using the deviation.
Optionally, before obtaining the health related indexes of all cells in the cell set of the battery, the method further includes:
controlling all the battery cells in the battery cell set to be consistent in the production and manufacturing links;
the health related index of the battery cell is specifically a health related index measured in a state that the battery cell is not used after leaving a factory.
A second aspect of the present application provides a battery state of health evaluation device, including:
the index acquisition module is used for acquiring health related indexes of all the battery cores in the battery core set of the battery;
the battery cell selection module is used for determining a first type battery cell and a second type battery cell from the battery cell set according to the health correlation indexes of all the battery cells; the health correlation index of the second type of cell indicates that the second type of cell is a typical cell in the cell set; the health-related index for the first type of cell indicates that the endurance performance of the first type of cell is worse than the endurance performance of the second type of cell;
the test module is used for carrying out endurance test on the first type battery cell and the second type battery cell to obtain the health state of the first type battery cell in the full life cycle and obtain the health state of the second type battery cell in the full life cycle;
the deviation acquiring module is used for acquiring the deviation of the health state of the first type battery cell in the full life cycle and the health state of the second type battery cell in the full life cycle;
and the evaluation module is used for evaluating the health state of the battery according to the deviation.
Optionally, the index obtaining module is configured to obtain capacities and dc internal resistances of all the battery cells in the battery cell set;
the module is selected to electric core includes:
the statistical unit is used for performing statistical analysis on the capacities of all the electric cores in the electric core set to obtain a capacity average value of all the electric cores in the electric core set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set;
the screening and determining unit is used for determining the electric core with the lowest capacity and the highest direct-current internal resistance in the electric core set as the first type electric core; and determining the battery cell with the capacity matched with the average capacity value and the direct current internal resistance matched with the average direct current internal resistance value in the battery cell set as a second type battery cell.
Optionally, the evaluation module comprises:
the acquiring unit is used for acquiring the whole pack of health state results of the battery in the whole life cycle;
and the correcting unit is used for correcting the whole pack of health state results of the battery in the whole life cycle by using the deviation.
A third aspect of the present application provides a battery state of health assessment apparatus, comprising a processor and a memory; the memory is used for storing a computer program; the processor is configured to execute the battery state of health assessment method provided in the first aspect according to the computer program.
A fourth aspect of the present application provides a computer-readable storage medium for storing a computer program which, when executed by a processor, performs the battery state of health assessment method as provided in the first aspect.
Compared with the prior art, the method has the following beneficial effects:
in the method, the first type battery cell and the second type battery cell are subjected to endurance tests respectively, so that the health state of the first type battery cell with poor endurance performance in a full life cycle is obtained, and the health state of the second type battery cell (namely a typical battery cell) in the full life cycle is obtained. And evaluating the SOH of the battery according to the deviation of the health states of the two cells, wherein compared with the evaluation of the SOH of the battery only by a whole pack test in the prior art, the endurance performance span of the reference cell is larger, and the SOH deviation of the cell level is obtained. By utilizing the deviation, the evaluation result of the SOH of the whole battery pack can be more accurate, so that the worst performance of the battery system can be conveniently and accurately evaluated.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart of a battery state of health assessment method according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a battery state of health evaluation apparatus according to an embodiment of the present disclosure.
Detailed Description
As previously described, it is common to test the evaluation of battery SOH in whole packages. The performance of the entire battery system is closely related to the performance of the worst cell during use. Therefore, the current scheme causes the accuracy of the estimated SOH of the battery to be insufficient, and influences the application value of the estimation result of the SOH of the battery.
In order to solve the above problems, the inventors have studied and provided a battery health status evaluation method, device and related product. And obtaining the deviation of the full life cycle health states of the two types of battery cells by combining the full life cycle health states of the first type battery cell and the second type battery cell which are obtained through the endurance test respectively. Thereafter, the state of health of the battery is evaluated based on the deviation. The SOH of the whole battery pack is evaluated in an auxiliary mode by screening the battery cells and obtaining the SOH deviation of the battery cell level, and compared with the mode of only being limited to a whole pack test, the SOH evaluation result of the whole pack is more accurate, and therefore the worst performance of a battery system can be evaluated accurately.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Method embodiment
Referring to fig. 1, a flowchart of a battery state of health assessment method according to an embodiment of the present disclosure is shown. As shown in fig. 1, a method for evaluating a state of health of a battery according to an embodiment of the present application includes:
step 101: and obtaining health correlation indexes of all the battery cores in the battery core set of the battery.
Here, the cell set may refer to a set of all cells including the target battery. This set of cells is not a physical concept, but rather is a set that defines the scope of all the cells of the battery. The health-related index of the battery cell refers to an index related to the life of the battery cell, and may include capacity and direct current internal resistance, for example. The smaller the capacity of the battery cell, the higher the direct current internal resistance, the shorter the battery life, and the worse the durability. In this step, as a possible implementation: and obtaining the capacity and the direct current internal resistance of all the battery cells in the battery cell set.
Before obtaining the health related indexes of all the cells in the cell set of the battery, the method may further include: and controlling all the cells in the cell set to be consistent in the production and manufacturing links. So can guarantee that the voltage of electric core in the electric core set, internal resistance isoparametric do not have very big difference, also can guarantee to assemble the stability of the battery package work behind the battery package. The health related index of the battery cell obtained in step 101 is specifically a health related index measured in a state where the battery cell is not used after leaving a factory.
The purpose of obtaining the health related indexes of all the battery cells in the battery set in this step is to determine two types of battery cells in the battery set. And the health correlation index of the second type of battery cell indicates that the second type of battery cell is a typical battery cell in the battery cell set. The health-related indicator for the first type of cell indicates that the endurance performance of the first type of cell is worse than the endurance performance of the second type of cell. As an example, the first type of cell may be the least durable cell in the battery set.
Step 102: and determining a first type battery cell and a second type battery cell from the battery cell set according to the health correlation indexes of all the battery cells.
On the basis of the foregoing example, as a first possible implementation manner, step 102 may specifically include the following operations:
carrying out statistical analysis on the capacities of all the battery cells in the battery cell set to obtain a capacity mean value of all the battery cells in the battery cell set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set; determining the cell with the lowest capacity and the highest direct-current internal resistance in the cell set as a first type cell; and determining the battery cell with the capacity matched with the average capacity value and the direct current internal resistance matched with the average direct current internal resistance value in the battery cell set as a second type battery cell.
Here, the matching of the capacity and the capacity mean may specifically mean that the capacity and the capacity mean are identical, or that the difference between the capacity and the capacity mean is very small, and the two may be considered to be approximately identical. Similarly, the matching of the direct-current internal resistance and the average value of the direct-current internal resistance may specifically mean that the direct-current internal resistance of the battery cell is consistent with the average value of the direct-current internal resistance, or that the difference between the direct-current internal resistance of the battery cell and the average value of the direct-current internal resistance is very small, and the direct-current internal resistance and the average value of the direct-current internal resistance may be approximately considered. And determining the cell with the lowest capacity and the highest direct-current internal resistance as a first type cell, namely indicating that the determined first type cell is the worst cell in the cell set.
On the basis of the foregoing example, as a second possible implementation manner, step 102 may specifically include the following operations:
carrying out statistical analysis on the capacities of all the battery cells in the battery cell set to obtain a capacity mean value of all the battery cells in the battery cell set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set; determining cells, of which the capacity is lower than a first capacity threshold and the direct-current internal resistance is higher than a first internal resistance threshold, in the cell set as first type cells; and determining the cell in the cell set, wherein the absolute value of the difference between the capacity and the capacity mean value is smaller than a first capacity difference threshold, and the absolute value of the difference between the direct current internal resistance and the direct current internal resistance mean value is smaller than a first resistance difference threshold, as a second type cell.
Since the first capacity threshold is lower than the capacity mean, the capacity of the first type of cell must be lower than the capacity mean. Similarly, since the first internal resistance threshold is higher than the average value of the direct-current internal resistances, the direct-current internal resistance of the first type cell must be higher than the average value of the direct-current internal resistances. It can be seen that the first type of cell has a less durable performance than the typical cell and a shorter lifetime than the typical cell. The absolute value of the difference between the capacity of the second type of battery cell and the average value of the capacity is smaller than the first capacity difference threshold value, which indicates that the difference between the capacity of the second type of battery cell and the average value of the capacity is very small. Similarly, the absolute value of the difference between the direct-current internal resistance of the second type battery cell and the direct-current internal resistance mean value is smaller than the first resistance difference threshold, which indicates that the difference between the direct-current internal resistance of the second type battery cell and the direct-current internal resistance mean value is very small. Thus, the second type of cells may be regarded as typical cells.
It should be noted that, the steps 101-102 are performed before the endurance test is performed. When the endurance test is performed, the first type battery cell and the second type battery cell are both in an unused state after leaving the factory.
Step 103: and carrying out endurance test on the first type battery cell and the second type battery cell to obtain the health state of the first type battery cell in the whole life cycle and obtain the health state of the second type battery cell in the whole life cycle.
Current means of endurance testing include a variety of. Such as testing to perform cycling experiments or storage experiments. The endurance test can be performed by manually setting a test flow and performing an experiment by using a charging and discharging device and a temperature box. The endurance test is continued until the first type cell and the second type cell reach an End of Life (EOL).
During the endurance test, the power and the internal resistance of the battery cell may change continuously as the battery cell is used. In one possible implementation, the SOH of the full life cycle (also referred to as the full life cycle) of the first type of cell may be obtained by monitoring the change in capacity or the change in internal resistance of the first type of cell during the endurance test. Similarly, the full life cycle SOH of the second type of cell may be obtained by monitoring the change in capacity or the change in internal resistance of the second type of cell during the endurance test. The SOH of the full life cycle can be represented by a scatter plot or a curve.
Step 104: and obtaining the deviation of the health state of the first type battery cell in the full life cycle and the health state of the second type battery cell in the full life cycle.
Assuming that the health states of the first type cell and the second type cell in the full life cycle are respectively represented by curves, the SOH of the first type cell in the full life cycle is represented as a first SOH curve, and the SOH of the second type cell in the full life cycle is represented as a second SOH curve. As a possible implementation manner, the difference between the second SOH curve and the ordinate of the first SOH curve is obtained. The deviation can also be represented by a curve.
Step 105: and evaluating the health state of the battery according to the deviation.
The deviation obtained in step 104 may specifically be used to correct the evaluation of the SOH of the battery in whole packs only. Step 105 may be executed to first obtain the health status result of the whole pack of the battery in the full life cycle, and then correct the health status result of the whole pack of the battery in the full life cycle by using the deviation.
The health status result of the whole battery pack in the whole life cycle may be obtained by performing an endurance test on the whole battery pack according to the existing technology. Obtaining the health status result of the whole pack does not involve screening the battery cells. The whole package health state result can also be represented by a curve, which is referred to as a third SOH curve in the embodiments of the present application. Since the use performance of the battery cell with poor durability is not considered in the whole pack health state result, the third SOH curve can be regarded as the result measured under the condition that all the battery cells are typical cells.
In step 105, the third SOH curve and the ordinate value of the deviation curve may be subtracted from each other, and a curve formed by the data obtained after the subtraction may be used as the SOH of the full life cycle of the battery. In this way, correction of the battery level SOH evaluation result is achieved.
The above is the battery health state evaluation method provided by the embodiment of the application. In the method, a first type battery cell and a second type battery cell are selected, and endurance tests are respectively carried out on the first type battery cell and the second type battery cell, so that the health state of the first type battery cell with poor endurance performance in a full life cycle and the health state of the second type battery cell in the full life cycle are obtained. And obtaining the SOH deviation of the battery core level by using the health states of the two battery cores, and finally evaluating the SOH of the whole battery pack in the whole life cycle by using the deviation. Compared with the prior art in which the SOH of the battery is evaluated only by a whole package test, in the technical scheme of the application, the most severe service condition of the battery cell is considered, and the SOH deviation of the corresponding battery cell level is obtained. The deviation is used for evaluating the SOH of the whole pack, so that the evaluation result of the SOH of the whole pack of batteries can be more accurate, and the worst performance of the battery system can be conveniently and accurately evaluated.
On the basis of the battery state of health evaluation method provided by the foregoing embodiment, the present application also provides a battery state of health evaluation device accordingly. The implementation of the device is described below with reference to the embodiments and the drawings.
Device embodiment
Referring to fig. 2, the diagram is a schematic structural diagram of a battery state of health evaluation device according to an embodiment of the present disclosure. As shown in fig. 2, the battery state of health evaluation device 200 includes:
an index obtaining module 201, configured to obtain health related indexes of all battery cells in a battery cell set of a battery;
the battery cell selection module 202 is configured to determine a first type battery cell and a second type battery cell from the battery cell set according to the health correlation indexes of all battery cells; the health correlation index of the second type of cell indicates that the second type of cell is a typical cell in the cell set; the health-related index for the first type of cell indicates that the endurance performance of the first type of cell is worse than the endurance performance of the second type of cell;
a testing module 203, configured to perform endurance testing on the first type of battery cell and the second type of battery cell, to obtain a health state of the first type of battery cell in a full life cycle and obtain a health state of the second type of battery cell in the full life cycle;
a deviation obtaining module 204, configured to obtain a deviation between a health state of the first type of battery cell in a full life cycle and a health state of the second type of battery cell in the full life cycle;
an evaluation module 205 for evaluating the state of health of the battery based on the deviation.
The battery health state evaluation apparatus 200 obtains the health state of the first type battery cell with poor durability in the full life cycle and obtains the health state of the second type battery cell in the full life cycle by selecting the first type battery cell and the second type battery cell and performing endurance tests on the first type battery cell and the second type battery cell respectively. And obtaining the SOH deviation of the battery core level by using the health states of the two battery cores, and finally evaluating the SOH of the whole battery pack in the whole life cycle by using the deviation. Compared with the prior art in which the SOH of the battery is evaluated only by a whole package test, in the technical scheme of the application, the most severe service condition of the battery cell is considered, and the SOH deviation of the corresponding battery cell level is obtained. The deviation is used for evaluating the SOH of the whole pack, so that the evaluation result of the SOH of the whole pack of batteries can be more accurate, and the worst performance of the battery system can be conveniently and accurately evaluated.
In an optional implementation manner, the index obtaining module 201 is configured to obtain capacities and dc internal resistances of all the battery cells in the battery cell set;
the cell selection module 202 includes:
the statistical unit is used for performing statistical analysis on the capacities of all the electric cores in the electric core set to obtain a capacity average value of all the electric cores in the electric core set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set;
the screening and determining unit is used for determining the electric core with the lowest capacity and the highest direct-current internal resistance in the electric core set as the first type electric core; and determining the battery cell with the capacity matched with the average capacity value and the direct current internal resistance matched with the average direct current internal resistance value in the battery cell set as a second type battery cell.
In another optional implementation manner, the screening and determining unit is configured to determine, as the first type of cell, a cell in the cell set, where a capacity is lower than a first capacity threshold and a direct current internal resistance is higher than a first internal resistance threshold; determining a cell, in the cell set, of which the absolute value of the difference between the capacity and the capacity mean value is smaller than a first capacity difference threshold value and the absolute value of the difference between the direct-current internal resistance and the direct-current internal resistance mean value is smaller than a first resistance difference threshold value, as a second type cell; the first capacity threshold is lower than the capacity mean; the first internal resistance threshold value is higher than the mean value of the direct current internal resistances.
In an alternative implementation, the evaluation module 205 includes:
the acquiring unit is used for acquiring the whole pack of health state results of the battery in the whole life cycle;
and the correcting unit is used for correcting the whole pack of health state results of the battery in the whole life cycle by using the deviation.
In an alternative implementation, the battery state of health assessment apparatus 200 further includes:
the production control module is used for controlling all the battery cells in the battery cell set to be consistent in production and manufacturing links;
the health related index of the battery cell is specifically a health related index measured in a state that the battery cell is not used after leaving a factory.
On the basis of the battery health status evaluation method and the battery health status evaluation device provided by the foregoing embodiments, the present application also provides a battery health status evaluation device accordingly. The apparatus includes a processor and a memory; the memory is used for storing a computer program; the processor is configured to execute one or more steps of the battery state of health assessment method as provided in the foregoing method embodiments according to the computer program.
On the basis of the battery state of health assessment method, the assessment apparatus and the assessment device provided by the foregoing embodiments, the present application also provides a computer-readable storage medium for storing a computer program, which is executed by a processor to perform one or more steps of the battery state of health assessment method provided by the foregoing method embodiments.
The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A battery state of health assessment method, comprising:
obtaining health correlation indexes of all battery cores in a battery core set of the battery;
determining a first type battery cell and a second type battery cell from the battery cell set according to the health correlation indexes of all the battery cells; the health correlation index of the second type of cell indicates that the second type of cell is a typical cell in the cell set; the health-related index for the first type of cell indicates that the endurance performance of the first type of cell is worse than the endurance performance of the second type of cell;
performing endurance tests on the first type of battery cell and the second type of battery cell to obtain a health state of the first type of battery cell in a full life cycle and obtain a health state of the second type of battery cell in the full life cycle;
obtaining a deviation between a health state of the first type of cell in a full life cycle and a health state of the second type of cell in the full life cycle;
and evaluating the health state of the battery according to the deviation.
2. The method of claim 1, wherein the obtaining the health-related indicator of all cells in the cell set of the battery comprises:
obtaining the capacity and the direct current internal resistance of all the battery cells in the battery cell set;
determining a first type of battery cell and a second type of battery cell from the battery cell set according to the health correlation indexes of all the battery cells, including:
performing statistical analysis on the capacities of all the battery cells in the battery cell set to obtain a capacity mean value of all the battery cells in the battery cell set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set;
determining a cell, of the cell set, with a capacity lower than a first capacity threshold and a direct-current internal resistance higher than a first internal resistance threshold as the first type of cell; determining a cell, in the cell set, of which the absolute value of the difference between the capacity and the capacity mean value is smaller than a first capacity difference threshold value and the absolute value of the difference between the direct-current internal resistance and the direct-current internal resistance mean value is smaller than a first resistance difference threshold value, as a second type cell;
the first capacity threshold is lower than the capacity mean; the first internal resistance threshold value is higher than the mean value of the direct current internal resistances.
3. The method of claim 1, wherein the obtaining the health-related indicator of all cells in the cell set of the battery comprises:
obtaining the capacity and the direct current internal resistance of all the battery cells in the battery cell set;
determining a first type of battery cell and a second type of battery cell from the battery cell set according to the health correlation indexes of all the battery cells, including:
performing statistical analysis on the capacities of all the battery cells in the battery cell set to obtain a capacity mean value of all the battery cells in the battery cell set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set;
determining the cell with the lowest capacity and the highest direct-current internal resistance in the cell set as the first type cell; and determining the battery cell with the capacity matched with the average capacity value and the direct current internal resistance matched with the average direct current internal resistance value in the battery cell set as a second type battery cell.
4. The battery state of health assessment method according to any one of claims 1-3, wherein said assessing the state of health of said battery according to said deviation comprises:
obtaining a whole pack of health state results of the battery in a full life cycle;
and correcting the whole pack of health state results of the battery in the whole life cycle by using the deviation.
5. The battery state of health assessment method of any of claims 1-3, wherein before said obtaining the health-related indicator for all cells in the set of cells of the battery, the method further comprises:
controlling all the battery cells in the battery cell set to be consistent in the production and manufacturing links;
the health related index of the battery cell is specifically a health related index measured in a state that the battery cell is not used after leaving a factory.
6. A battery state of health assessment apparatus, comprising:
the index acquisition module is used for acquiring health related indexes of all the battery cores in the battery core set of the battery;
the battery cell selection module is used for determining a first type battery cell and a second type battery cell from the battery cell set according to the health correlation indexes of all the battery cells; the health correlation index of the second type of cell indicates that the second type of cell is a typical cell in the cell set; the health-related index for the first type of cell indicates that the endurance performance of the first type of cell is worse than the endurance performance of the second type of cell;
the test module is used for carrying out endurance test on the first type battery cell and the second type battery cell to obtain the health state of the first type battery cell in the full life cycle and obtain the health state of the second type battery cell in the full life cycle;
the deviation acquiring module is used for acquiring the deviation of the health state of the first type battery cell in the full life cycle and the health state of the second type battery cell in the full life cycle;
and the evaluation module is used for evaluating the health state of the battery according to the deviation.
7. The battery state of health assessment apparatus according to claim 6, wherein the index obtaining module is configured to obtain capacities and dc internal resistances of all the cells in the cell set;
the module is selected to electric core includes:
the statistical unit is used for performing statistical analysis on the capacities of all the electric cores in the electric core set to obtain a capacity average value of all the electric cores in the electric core set; performing statistical analysis on the direct current internal resistances of all the battery cells in the battery cell set to obtain a direct current internal resistance mean value of all the battery cells in the battery cell set;
the screening and determining unit is used for determining the electric core with the lowest capacity and the highest direct-current internal resistance in the electric core set as the first type electric core; and determining the battery cell with the capacity matched with the average capacity value and the direct current internal resistance matched with the average direct current internal resistance value in the battery cell set as a second type battery cell.
8. The battery state of health assessment device of claim 6 or 7, wherein said assessment module comprises:
the acquiring unit is used for acquiring the whole pack of health state results of the battery in the whole life cycle;
and the correcting unit is used for correcting the whole pack of health state results of the battery in the whole life cycle by using the deviation.
9. A battery state of health assessment device, characterized by, including processor and memorizer; the memory is used for storing a computer program; the processor is configured to execute the battery state of health assessment method according to any of claims 1-5 in accordance with the computer program.
10. A computer-readable storage medium for storing a computer program which, when executed by a processor, performs the battery state of health assessment method according to any one of claims 1-5.
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