CN115544813A - Method for calculating electrical property of battery - Google Patents
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- CN115544813A CN115544813A CN202211503337.5A CN202211503337A CN115544813A CN 115544813 A CN115544813 A CN 115544813A CN 202211503337 A CN202211503337 A CN 202211503337A CN 115544813 A CN115544813 A CN 115544813A
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Abstract
The invention discloses a method for calculating the electrical property of a battery, which comprises the following steps: under a preset working condition, acquiring multiple groups of data of a certain electrical property of the target battery, wherein each group of data comprises an electrical property value and a parameter variable value; plotting curves for electrical properties and parametric variables based on the sets of data; obtaining an algebraic fit about electrical properties and parameter variables under a preset working condition based on the curve; and calculating the electrical property value corresponding to each parameter variable value under the preset working condition based on the algebraic fit. The method can realize the rapid calculation of the electrical property values corresponding to different parameter values under a certain working condition, improve the efficiency and reduce the cost.
Description
Technical Field
The invention relates to the field of batteries, in particular to a method for calculating the electrical property of a battery.
Background
In the process of developing batteries, the relationship between the physical parameters, state parameters and electrical properties of the batteries needs to be known. The existing methods mainly comprise two methods, experimental testing and simulation calculation. When the test is carried out through an experiment, if the electrical performance value corresponding to a certain parameter variable value needs to be known, the experiment needs to be carried out for the parameter variable value. For a plurality of different values of the same parameter variable, one experiment for each value is required to obtain the corresponding electrical property value. This method requires a lot of manpower, material resources, and time, and its research cost is high. When the simulation calculation is carried out, firstly, simulation modeling is carried out, different parameter values are set by using the model, calculation is carried out, and the corresponding electrical property value is obtained. And a large number of calculations need to be performed for each parameter value, and compared with an experimental test, the method can save cost, but has the same low efficiency and is not beneficial to product research and development.
Disclosure of Invention
In order to overcome the defects in the prior art, the embodiment of the invention provides a method for calculating the electrical performance of a battery, which can realize the rapid calculation of the electrical performance values corresponding to different parameter values under a certain working condition, improve the efficiency and reduce the cost.
In order to achieve the purpose, the invention adopts the technical scheme that: a method for calculating the electrical performance of a battery comprises the following steps:
under a preset working condition, acquiring multiple groups of data of a certain electrical property of the target battery, wherein each group of data comprises an electrical property value and a parameter variable value;
plotting curves for the electrical property and the parameter variables based on the sets of data;
obtaining an algebraic fit about electrical performance and parameter variables under a preset working condition based on the curve;
and calculating the electrical property value corresponding to each parameter variable value under the preset working condition based on the algebraic fit.
The target battery is a battery designed in a simulation mode or a battery actually produced.
A small number of sets of data are obtained, curves are drawn from the sets of data, and an algebraic fit is obtained according to the curves. The obtained algebraic fitting expression is the corresponding relation between the parameter variable and the electrical property, the electrical property representation under a certain working condition can be rapidly calculated by utilizing the algebraic fitting expression, three-dimensional simulation or experimental test on each parameter value is not needed, and the calculation efficiency is greatly improved.
In addition to including an electrical value and a parameter variable value in each set of data, an electrical value and N parameter variable values may be included in each set of data, thereby calculating a relationship between an electrical value and a plurality of parameter variable values. Wherein N is a positive integer less than or equal to three.
When N =1, a curve is plotted for an electrical property and a parameter variable based on the plurality of sets of data, the algebraic fit being a univariate algebraic expression.
When N =2, a curved surface about an electrical property and two parameter variables is drawn based on a plurality of sets of data, the algebraic fit is a binary algebraic expression.
When N =3, a space volume is drawn for an electrical property and three parameter variables based on the sets of data, the algebraic fit is a ternary algebraic expression.
Preferably, under a preset working condition, acquiring multiple sets of data of a certain electrical property of the target battery, where each set of data includes an electrical property value and N parameter variable values, and includes:
establishing an electrical property model of the target battery by using three-dimensional simulation;
obtaining a plurality of groups of test data corresponding to N parameter variables and an electrical property of the target battery through simulation calculation based on the electrical property model;
checking the electrical performance model based on the plurality of groups of test data to obtain a standard model;
and on the basis of the standard model, under a preset working condition, obtaining a plurality of groups of data corresponding to N parameter variables and an electrical property of the target battery through simulation calculation.
Preferably, under a preset working condition, acquiring multiple sets of data of a certain electrical property of the target battery, where each set of data includes an electrical property value and N parameter variable values, and includes:
under a preset working condition, multiple groups of data corresponding to N parameter variables and one electrical property are obtained through experimental tests.
When a plurality of groups of data are obtained through three-dimensional simulation or experimental test, the number of the data can be determined according to the number of variables, and when the variables are increased, the data amount is increased to obtain a reliable algebraic fit.
Wherein the electrical properties include voltage, current, power, internal resistance of the battery.
The parameter variables comprise physical parameters and state parameters of the battery; the physical parameters comprise the thicknesses of positive and negative pole piece coatings of the battery, the structural design size of the battery and the proportion of materials in the battery, and the state parameters comprise the charge and discharge time of the battery, the charge state of the battery, the temperature of the battery and the service life state of the battery.
Drawing graphs related to the electrical property and the parameter variable through data processing software or self-programming, and obtaining an algebraic fitting type, wherein the data processing software comprises Excel, matlab and Minitab.
Preferably, for one and the same parameter variable;
acquiring a corresponding curve from each working condition;
forming a curved surface by fitting a plurality of curves;
obtaining an algebraic fit about the electrical property and the parameter variable based on the curved surface;
and calculating the electrical performance value corresponding to the parameter variable value under any working condition based on an algebraic fit.
Due to the application of the technical scheme, compared with the prior art, the invention has the following advantages:
a small amount of data is obtained through experimental testing or three-dimensional simulation in the application, an algebraic fit type is obtained through the small amount of data, the electrical property values corresponding to different parameter values under a certain working condition can be rapidly calculated through the algebraic fit type, the experimental times or the simulation calculation times are reduced, and therefore the calculation efficiency is improved, and the cost is reduced.
In order to make the aforementioned and other objects, features and advantages of the invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a graph illustrating the variation of power density with electrode coating thickness according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a variation curve of terminal voltage with usage duration according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of a change curve of the dc internal resistance with the state of charge in the third embodiment of the present invention;
fig. 4 is a schematic diagram of a curve of the direct current internal resistance along with the temperature in the fourth embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
The first embodiment is as follows: a method for calculating the electrical performance of a battery comprises the following steps:
and establishing an electrical property model of the target battery by using three-dimensional simulation.
And obtaining multiple sets of test data about the electrode coating thickness and the power density of the target battery through simulation calculation based on the electrical property model, such as obtaining ten sets of test data.
And checking the electrical property model based on the plurality of groups of test data to obtain a standard model.
Based on a standard model, under the working conditions with the same charging current and voltage, 20 groups of data corresponding to the electrode coating thickness and the power density of the target battery are obtained through simulation calculation, and the specific data are shown in the following table I:
table one
Based on the above data, a coordinate system with X-axis being the thickness μm of the electrode coating and Y-axis being the power density W/kg was created using Excel. See fig. 1 for aAdding the scatter points of the data to the coordinate system, fitting a curve by the scatter points, and generating an algebraic fit of the curve Y = -3.2232X 2 +348.36X-7469.5. From the algebraic fit, the power density value corresponding to each electrode coating thickness value under the same charging current and voltage as in the present embodiment can be quickly calculated.
The algebraic fit with required precision can be obtained by adjusting the data volume. Under the condition of higher precision requirement, the times of simulation calculation can be increased, and more groups of data can be obtained. Similarly, under the condition of lower precision requirement, the times of simulation calculation can be reduced, thereby improving the calculation efficiency.
Example two: referring to fig. 2, a method for calculating an electrical property of a battery includes the following steps:
and establishing an electrical property model of the target battery by using three-dimensional simulation.
Based on the electrical property model, multiple sets of test data on the service life and terminal voltage of the target battery are obtained through simulation calculation.
And checking the electrical property model based on the plurality of groups of test data to obtain a standard model.
Based on the standard model, under the working conditions with the same charging current and voltage, multiple groups of data corresponding to the service life and the terminal voltage of the target battery are obtained through simulation calculation, and the specific data are shown in the following table two:
table two
Based on the multiple groups of data, a coordinate system with the X axis as the service time s and the Y axis as the terminal voltage V is established by using Excel. Adding scattered points of the data to a coordinate system, fitting a curve by the scattered points, and generating an algebraic fit of the curve, wherein Y = -1E-13x 4 +7E-10x 3 -2E-06x 2 +0.0012x +3.7396. By the algebraic fit, the terminal voltage value corresponding to each service duration value can be quickly calculated under the condition of the same charging current and voltage as the present embodiment.
Example three: referring to fig. 3, a method for calculating an electrical property of a battery includes the following steps:
and establishing an electrical property model of the target battery by using three-dimensional simulation.
Based on the electrical property model, multiple sets of test data about the target cell are obtained through simulation calculation.
And checking the electrical property model based on the plurality of groups of test data to obtain a standard model.
Based on a standard model, when the charging is set for 10s and the temperature is 10 ℃, a plurality of groups of data corresponding to SOC (state of charge) and DC-IR (direct current internal resistance) are obtained through simulation calculation, and the specific data are shown in the following table III:
table III
Based on the above-mentioned sets of data, a coordinate system with SOC on the X-axis and DC-IR (m Ω) on the Y-axis was created using Excel. Adding scattered points of the data to a coordinate system, fitting a curve by the scattered points, and generating an algebraic fit of the curve, wherein Y = -2.29x 3 +5.9404x 2 4.622x +2.9758. By the algebraic fit, the DC-IR value corresponding to each SOC value can be quickly calculated when the charging is carried out for 10s and the temperature is 10 ℃.
Example four: referring to fig. 4, a method for calculating the electrical performance of a battery includes the following steps:
and establishing an electrical property model of the target battery by using three-dimensional simulation.
Based on the electrical property model, multiple sets of test data about the target cell are obtained through simulation calculation.
And checking the electrical property model based on the plurality of groups of test data to obtain a standard model.
Based on the standard model, set at 10s charging, 50% SOC, a plurality of sets of data corresponding to the temperature and DC-IR were obtained through simulation calculation, as shown in the following Table four:
table four
Based on the above-mentioned sets of data, a coordinate system with temperature T on the X-axis and DC-IR (m Ω) on the Y-axis was created using Excel. Adding scattered points of the data to a coordinate system, fitting a curve by the scattered points, and generating an algebraic fit of the curve, wherein Y = -8E-05x 3 +0.0082x 2 -0.227x +2.9112. From this algebraic fit, the DC-IR value for each temperature value at 10s charging, 50% SOC, can be quickly calculated.
In addition to the parametric variations and electrical properties described in the above examples, the calculation methods of the present application are also applicable to other parametric variations and electrical properties. When the parameter variable is more than one, data processing software such as Matlab, minitab and the like can be used for drawing the graph and generating an algebraic fitting type. And under the condition of more parameter variables, the parameter variables can be divided into one group according to 2-3, the relation between the parameter variables and the electrical property in each group is researched, the calculation is convenient, and the precision of the generated algebraic fit-type is improved.
The method can also be extended to the corresponding relation between a parameter variable and an electrical property under different working conditions. By adopting the method, a corresponding curve is obtained according to each working condition. Setting the Z axis as a working condition, fitting a plurality of curves to form a curved surface, and obtaining an algebraic fit about electrical properties and parameter variables based on the curved surface; based on algebraic fitting, the electric performance value corresponding to the parameter variable value under any working condition is quickly calculated.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (8)
1. A method for calculating the electrical performance of a battery is characterized by comprising the following steps:
under a preset working condition, acquiring multiple groups of data of a certain electrical property of the target battery, wherein each group of data comprises an electrical property value and a parameter variable value;
plotting curves for electrical properties and parametric variables based on the sets of data;
obtaining an algebraic fit about electrical properties and parameter variables under a preset working condition based on the curve;
and calculating the electrical property value corresponding to each parameter variable value under the preset working condition based on the algebraic fit.
2. The method of calculating the electrical property of the battery according to claim 1, wherein: the algebraic fit is a unitary algebraic expression.
3. The method for calculating the electrical property of the battery according to claim 1, wherein under a predetermined condition, acquiring a plurality of sets of data of a certain electrical property of the target battery, each set of data including an electrical property value and a parameter variable value, comprises:
establishing an electrical property model of the target battery by using three-dimensional simulation;
on the basis of the electrical property model, obtaining a plurality of groups of test data corresponding to a parameter variable and an electrical property of the target battery through simulation calculation;
checking the electrical performance model based on the plurality of groups of test data to obtain a standard model;
and on the basis of the standard model, under a preset working condition, obtaining a plurality of groups of data corresponding to a parameter variable and an electrical property of the target battery through simulation calculation.
4. The method for calculating the electrical property of the battery according to claim 1, wherein under a preset condition, acquiring a plurality of sets of data of a certain electrical property of the target battery, each set of data including an electrical property value and a parameter variable value, comprises:
under a preset working condition, a plurality of groups of data corresponding to a parameter variable and an electrical property are obtained through experimental tests.
5. The method of calculating the electrical property of the battery according to claim 1, wherein: the electrical properties include voltage, current, power, internal resistance of the battery.
6. The method of calculating the electrical property of the battery according to claim 1, wherein: the parameter variables comprise physical parameters and state parameters of the battery; the physical parameters comprise the thicknesses of positive and negative pole piece coatings of the battery, the structural design size of the battery and the proportion of materials in the battery, and the state parameters comprise the charge and discharge time of the battery, the charge state of the battery, the temperature of the battery and the service life state of the battery.
7. The method of claim 1, wherein the curves relating to the electrical properties and the parameter variables are plotted and algebraic fit is obtained by data processing software, excel, or a self-programming.
8. The method of calculating the electrical property of the battery according to claim 1, wherein: for one and the same parameter variable;
acquiring a corresponding curve from each working condition;
forming a curved surface by fitting a plurality of curves;
obtaining an algebraic fit about the electrical property and the parameter variable based on the curved surface;
and calculating the electrical performance value corresponding to the parameter variable value under any working condition based on an algebraic fit.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015188610A1 (en) * | 2014-06-11 | 2015-12-17 | 北京交通大学 | Method and device for estimating state of charge of battery |
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| CN114895205A (en) * | 2022-04-06 | 2022-08-12 | 一汽解放汽车有限公司 | Battery model parameter acquisition method and device, computer equipment and storage medium |
| CN115389940A (en) * | 2022-08-05 | 2022-11-25 | 重庆长安新能源汽车科技有限公司 | Method for predicting internal resistance of power battery, method and system for power, and storage medium |
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- 2022-11-29 CN CN202211503337.5A patent/CN115544813A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015188610A1 (en) * | 2014-06-11 | 2015-12-17 | 北京交通大学 | Method and device for estimating state of charge of battery |
| CN107735691A (en) * | 2016-12-23 | 2018-02-23 | 深圳中兴力维技术有限公司 | The method for quick predicting and its system of a kind of charging performance of battery |
| CN114895205A (en) * | 2022-04-06 | 2022-08-12 | 一汽解放汽车有限公司 | Battery model parameter acquisition method and device, computer equipment and storage medium |
| CN115389940A (en) * | 2022-08-05 | 2022-11-25 | 重庆长安新能源汽车科技有限公司 | Method for predicting internal resistance of power battery, method and system for power, and storage medium |
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| 娄宇成等: "基于多元参数融合曲面的电池充电特性分析", 《太阳能学报》 * |
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Application publication date: 20221230 |