CN116559756B - Uncertainty analysis method, device and system of charge and discharge measurement system - Google Patents

Uncertainty analysis method, device and system of charge and discharge measurement system Download PDF

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CN116559756B
CN116559756B CN202310805828.3A CN202310805828A CN116559756B CN 116559756 B CN116559756 B CN 116559756B CN 202310805828 A CN202310805828 A CN 202310805828A CN 116559756 B CN116559756 B CN 116559756B
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CN116559756A (en
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胡志强
彭克来
李军
姬敏
薛扬县
林泽霖
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Contemporary Amperex Technology Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
    • G—PHYSICS
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    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
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    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract

The application provides an uncertainty analysis method, device and system of a charge and discharge measurement system, and belongs to the technical field of batteries. The method comprises the following steps: acquiring a target measurement function corresponding to a measurement target of a charge-discharge measurement system, wherein variables of the target measurement function comprise at least two of charge-discharge time length, charge-discharge current, charge-discharge voltage and charge-discharge temperature, and the charge-discharge measurement system has a systematic error uncertainty component of the variables; establishing a system error uncertainty calculation model of a charge and discharge measurement system aiming at a measurement target based on a target measurement function; determining the system error uncertainty of the charge and discharge measurement system aiming at the measurement target based on the system error uncertainty calculation model and the system error uncertainty component of the variable; determining the uncertainty of random errors of a charge-discharge measurement system aiming at a measurement target; and obtaining the synthetic standard uncertainty of the charge-discharge measurement system aiming at the measurement target based on the random error uncertainty and the system error uncertainty.

Description

Uncertainty analysis method, device and system of charge and discharge measurement system
Technical Field
The present application relates to the field of battery technologies, and in particular, to a method, an apparatus, and a system for uncertainty analysis of a charge and discharge measurement system.
Background
Energy conservation and emission reduction are key to sustainable development of the automobile industry, and electric vehicles become an important component of sustainable development of the automobile industry due to the energy conservation and environmental protection advantages of the electric vehicles. For electric vehicles, battery technology is an important factor in the development of the electric vehicles.
Aiming at the battery test technology, the error actually generated by the measurement system in the test process has a great influence on the safety of the battery, in particular to a charge-discharge measurement system. Therefore, it is necessary to ensure the accuracy of measurement of each parameter during the battery charge and discharge test.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the background art. Therefore, an object of the present application is to provide a method, a device and a system for uncertainty analysis of a charge and discharge measurement system, so as to ensure accuracy of measurement of each parameter in a battery charge and discharge test process.
An embodiment of a first aspect of the present application provides a method for analyzing uncertainty of a charge-discharge measurement system, including: acquiring a target measurement function corresponding to a measurement target of a charge-discharge measurement system, wherein variables of the target measurement function comprise at least two of charge-discharge time length, charge-discharge current, charge-discharge voltage and charge-discharge temperature, and the charge-discharge measurement system has a systematic error uncertainty component of the variables; establishing a system error uncertainty calculation model of a charge and discharge measurement system aiming at a measurement target based on a target measurement function; determining the system error uncertainty of the charge and discharge measurement system aiming at the measurement target based on the system error uncertainty calculation model and the system error uncertainty component of the variable; determining the uncertainty of random errors of a charge-discharge measurement system aiming at a measurement target; and obtaining the synthetic standard uncertainty of the charge-discharge measurement system aiming at the measurement target based on the random error uncertainty and the system error uncertainty.
In the technical scheme of the embodiment of the application, the system error uncertainty calculation model of the measurement target is established based on the functional relation between the measurement target and the variable of the measurement system with the system error uncertainty, so that the system error uncertainty of the measurement target can be determined based on the system error uncertainty calculation model and the system error uncertainty of the variable, and the synthetic standard uncertainty of the charge and discharge measurement system for the measurement target can be obtained based on the random error uncertainty and the system error uncertainty, thereby effectively analyzing the uncertainty of the measurement target and ensuring the measurement accuracy and reliability of the charge and discharge measurement system for the measurement target.
In some embodiments, building a systematic error uncertainty calculation model of a charge-discharge measurement system for a measurement target based on a target measurement function includes: determining association information between variables of the target measurement function; and establishing a system error uncertainty calculation model of the charge and discharge measurement system aiming at the measurement target based on the target measurement function and the associated information. Therefore, the measurement accuracy and reliability of the system for the measurement target can be further ensured by acquiring the association information between the variables of the objective function and considering the association information when calculating the uncertainty of the measurement target.
In some embodiments, determining the association information between the variables of the objective measurement function includes: establishing a fitting model between a measurement target and a variable of a target measurement function; correlation information between variables of the target measurement function is determined based on the fitting model. By establishing the fitting model between the measuring target and the variable of the target measuring function, the association information between the variable of the target measuring function is determined, and different fitting models can be established according to different measuring targets, so that different association relations between the variables can be determined according to different measuring targets, and the obtained association relations between the variables can meet the universality requirement of the charge and discharge measuring system.
In some embodiments, the variables of the objective measurement function include charge-discharge temperature, charge-discharge current, charge-discharge voltage, and the correlation information includes correlation coefficients between the charge-discharge temperature, the charge-discharge current, and the charge-discharge voltage at different charge-discharge temperatures. Therefore, the association relation between the variables of the target measurement function at different temperatures can be obtained, and the accuracy and the reliability of the measurement system are further ensured by considering the influence of the temperature on the charge and discharge process.
In some embodiments, the variables of the target measurement function include charge-discharge temperatures, and acquiring the target measurement function corresponding to the measurement target of the charge-discharge measurement system includes: based on a target measurement function, establishing a regression model by taking a measurement target as a dependent variable and taking a charge-discharge temperature as an independent variable; and determining a temperature coefficient of the charge and discharge temperature in the target measurement function based on the regression model. And determining the temperature coefficient of the charge and discharge temperature in the target measurement function by establishing a regression model, and considering the influence of the temperature on the measurement target, thereby ensuring more accurate measurement results for the measurement target.
In some embodiments, determining a random error uncertainty for the charge-discharge measurement system for the measurement target includes: acquiring a plurality of measurement results of a measurement target measured by a charge-discharge measurement system; determining a corresponding standard deviation of the measurement target by utilizing a Bessel formula based on a plurality of measurement results of the measurement target; and determining the random error uncertainty of the charge-discharge measurement system for the measurement target based on the corresponding standard deviation of the measurement target. Therefore, the corresponding standard deviation of the measurement target can be determined by utilizing the Bessel formula, and the random error uncertainty of the charge and discharge measurement system for the measurement target is determined based on the corresponding standard deviation of the measurement target, so that the obtained random error uncertainty has higher accuracy.
In some embodiments, building a systematic error uncertainty calculation model of a charge-discharge measurement system for a measurement target based on a target measurement function includes: based on uncertainty propagation law and a target measurement function, a system error uncertainty calculation model of the charge and discharge measurement system aiming at a measurement target is established. By establishing a systematic error uncertainty calculation model of the charge-discharge measurement system for a measurement target based on the uncertainty propagation law and the target measurement function, the process of establishing the systematic error uncertainty calculation model can be simplified.
In some embodiments, deriving the synthetic standard uncertainty for the charge-discharge measurement system for the measurement target based on the random error uncertainty and the systematic error uncertainty comprises: and obtaining the square of the synthetic standard uncertainty of the charge and discharge measurement system aiming at the measurement target based on the square of the random error uncertainty and the square of the system error uncertainty. The square of the uncertainty of the synthesis standard of the charge and discharge measurement system aiming at the measurement target is obtained based on the square of the uncertainty of the random error and the square of the uncertainty of the system error, so that the obtained uncertainty of the synthesis standard is more accurate.
In some embodiments, the method further comprises: acquiring a preset confidence interval and a corresponding expansion factor thereof; and expanding the uncertainty of the synthesis standard of the charge-discharge measurement system based on the expansion factor to obtain the expanded uncertainty. The uncertainty of the synthesis standard of the charge and discharge measurement system is expanded through the expansion factor, so that the expanded uncertainty is obtained, and the reliability of the uncertainty can be improved due to the fact that the confidence interval of the expanded uncertainty is known.
In some embodiments, the method further comprises: and obtaining the effective degree of freedom of the synthetic standard uncertainty based on the synthetic standard uncertainty, the random error uncertainty and the system error uncertainty. The reliability of the uncertainty of the synthesis standard can be obtained through the effective degree of freedom of the uncertainty of the synthesis standard, so that the reliability is improved.
In some embodiments, the measurement target includes at least one of capacity, energy, and power. The capacity, the energy or the power is used as an important parameter in the charging and discharging process of the battery, the accuracy and the reliability of measurement are ensured, and the method plays an important role in the safety of the battery.
An embodiment of the second aspect of the present application provides an uncertainty analysis device of a charge-discharge measurement system, where the device includes a function acquisition module, a model building module, a system error uncertainty determination module, a random error uncertainty determination module, and a synthesis standard uncertainty determination module, and the function acquisition module is configured to acquire a target measurement function corresponding to a measurement target of the charge-discharge measurement system, where variables of the target measurement function include at least two of a charge-discharge time length, a charge-discharge current, a charge-discharge voltage, and a charge-discharge temperature, and the charge-discharge measurement system has a system error uncertainty component of the variables; the model building module is configured to build a system error uncertainty calculation model of the charge and discharge measurement system aiming at a measurement target based on the target measurement function; a system error uncertainty determination module configured to determine a system error uncertainty of the charge-discharge measurement system for the measurement target based on the system error uncertainty calculation model and a system error uncertainty component of the variable; a random error uncertainty determination module configured to determine a random error uncertainty of the charge-discharge measurement system for the measurement target; the synthesis standard uncertainty determination module is configured to obtain the synthesis standard uncertainty of the charge-discharge measurement system aiming at the measurement target based on the random error uncertainty and the system error uncertainty.
An embodiment of a third aspect of the present application provides a charge-discharge measurement system having a synthetic standard uncertainty for a measurement target obtained by using the uncertainty analysis method of the charge-discharge measurement system in the above embodiment.
An embodiment of a fourth aspect of the present application provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores therein instructions executable by the at least one processor to enable the at least one processor to perform the uncertainty analysis method of the charge and discharge measurement system in the above-described embodiment.
An embodiment of a fifth aspect of the present application provides a charge-discharge measurement system including the electronic device in the above embodiment.
An embodiment of a sixth aspect of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the uncertainty analysis method of the charge-discharge measurement system in the above embodiment.
An embodiment of a seventh aspect of the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the uncertainty analysis method of the charge-discharge measurement system in the above embodiment.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
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In the drawings, the same reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily drawn to scale. It is appreciated that these drawings depict only some embodiments according to the disclosure and are not therefore to be considered limiting of its scope.
FIG. 1 is a flowchart illustrating a method for uncertainty analysis of a charge and discharge measurement system according to some embodiments of the present application;
FIG. 2 is a second flowchart of an uncertainty analysis method of a charge-discharge measurement system according to some embodiments of the present application;
FIG. 3 is a flowchart III of a method for uncertainty analysis of a charge and discharge measurement system according to some embodiments of the present application;
FIG. 4 is a flowchart illustrating a method for uncertainty analysis of a charge and discharge measurement system according to some embodiments of the present application;
FIG. 5 is a graph of confidence interval versus spreading factor provided in some embodiments of the present application;
FIG. 6 is a block diagram of an uncertainty analysis device of a charge and discharge measurement system according to some embodiments of the present application;
fig. 7 is a flowchart fifth of an uncertainty analysis method of a charge and discharge measurement system according to some embodiments of the present application.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion.
In the description of embodiments of the present application, the technical terms "first," "second," and the like are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the description of the embodiments of the present application, the term "plurality" means two or more (including two), and similarly, "plural sets" means two or more (including two), and "plural sheets" means two or more (including two).
In the description of the embodiments of the present application, the orientation or positional relationship indicated by the technical terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. are based on the orientation or positional relationship shown in the drawings, and are merely for convenience of description and simplification of the description, and do not indicate or imply that the apparatus or element referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the embodiments of the present application.
In the description of the embodiments of the present application, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured" and the like should be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally formed; or may be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the embodiments of the present application will be understood by those of ordinary skill in the art according to specific circumstances.
Currently, the more widely the battery is used in view of the development of market situation. The battery is not only applied to energy storage power supply systems such as hydraulic power, firepower, wind power and solar power stations, but also widely applied to electric vehicles such as electric bicycles, electric motorcycles, electric automobiles, and the like, as well as a plurality of fields such as military equipment, aerospace, and the like. With the continuous expansion of the battery application field, the market demand thereof is also continuously expanding.
In the related battery test standard, the test requirements only prescribe the measurement precision of time, current and voltage in the test process, the accuracy and reliability of the measurement results of other performance parameters of the battery cannot be ensured, and no effective uncertainty analysis is established at present.
Therefore, the uncertainty analysis method of the charge and discharge measurement system provided by the application can be used for establishing an error uncertainty calculation model by analyzing the uncertainty possibly generated in the battery test process, so that the validity analysis of a battery measurement result can be carried out, the accuracy of parameter measurement in the battery charge and discharge process can be ensured, and the detection work can be better carried out.
In the embodiment of the application, the error represents a point of deviation of the measurement result from the true value. The measurement uncertainty represents the dispersion of the measurement results, and represents one section on the number axis.
The uncertainty analysis method of the charge and discharge measurement system disclosed by the embodiment of the application can be applied to various charge and discharge measurement systems.
According to some embodiments of the present application, a method for analyzing uncertainty of a charge and discharge measurement system is provided, and fig. 1 is a flowchart of a method for analyzing uncertainty of a charge and discharge measurement system according to some embodiments of the present application. Referring to fig. 1, the method includes:
step S110: obtaining a target measurement function corresponding to a measurement target of a charge-discharge measurement system, wherein variables of the target measurement function comprise at least two of charge-discharge time length, charge-discharge current, charge-discharge voltage and charge-discharge temperature, and the charge-discharge measurement system has a systematic error uncertainty component of the variables.
Step S120: and establishing a system error uncertainty calculation model of the charge and discharge measurement system aiming at the measurement target based on the target measurement function.
Step S130: and determining the system error uncertainty of the charge and discharge measurement system for the measurement target based on the system error uncertainty calculation model and the system error uncertainty component of the variable.
Step S140: and determining the random error uncertainty of the charge-discharge measurement system for the measurement target.
Step S150: and obtaining the synthetic standard uncertainty of the charge-discharge measurement system aiming at the measurement target based on the random error uncertainty and the system error uncertainty.
In the embodiment of the application, the charge and discharge measurement system can simulate various operating conditions of the operation of an electric automobile, an energy storage power station, a communication power supply and the like, comprehensively test various electrical properties of batteries with different specifications according to international and domestic detection standards, comprehensively evaluate the quality of the batteries and carry out delivery consistency inspection and screening according to test data, provide scientific basis for research and production of the batteries, and provide reliable guarantee for application of the batteries.
Uncertainty is a quality index of a measurement result and is used for representing the reliability degree of the measurement result, wherein the smaller the uncertainty is, the better the quality of the measurement result is, and conversely, the larger the uncertainty is, the worse the quality of the measurement result is. When reporting the measurement results of the physical quantity, a corresponding uncertainty can be given for assessing the reliability of the measurement results, while also enhancing the comparability between the measurement results.
The measurement target of the charge and discharge measurement system may include at least one of a capacity of the battery, an energy of the battery, and a power of the battery. When the measurement target is the capacity of the battery, the target measurement function is a capacity measurement function, which may be:wherein->Indicating capacity, & lt>Representing charge-discharge current, ">Indicating the charge-discharge time period. When considering the effect of temperature on the charging process, the capacity measurement function may be: />Wherein->Indicating charge-discharge temperature, +.>Indicating charge-discharge temperature fluctuation->A temperature coefficient indicating a charge-discharge temperature.
When the measurement target is the energy of the battery, the target measurement function is an energy measurement function, and the energyThe measurement function may be:wherein->Represents energy, +.>Representing charge-discharge voltage, ">Representing charge-discharge current, ">Indicating the charge-discharge time period. When considering the effect of temperature on the charging process, the energy measurement function may be: />Wherein->Indicating charge-discharge temperature, +.>Indicating charge-discharge temperature fluctuation->A temperature coefficient indicating a charge-discharge temperature.
When the measurement target is the power of the battery, the target measurement function is a power measurement function, which may be:wherein- >Indicating power,/->Representing charge-discharge voltage, ">Indicating the charge-discharge current. When considering the effect of temperature on the charging process, the power measurement function may be: />Wherein->Indicating charge-discharge temperature, +.>Indicating charge-discharge temperature fluctuation->A temperature coefficient indicating a charge-discharge temperature.
In some embodiments, the charge-discharge measurement system may have a charge-discharge duration, a charge-discharge current, a charge-discharge voltage, and a systematic error uncertainty component of a charge-discharge temperature. It is understood that the charge/discharge measurement system may have, for example, only the charge/discharge time length, the systematic error uncertainty component of the charge/discharge current, or only the systematic error uncertainty component of the charge/discharge time length, the charge/discharge current, and the charge/discharge voltage, or only the systematic error uncertainty component of the charge/discharge current, and the charge/discharge voltage.
For example, the sources of the systematic error uncertainty factor of the charge-discharge duration, the charge-discharge current, the charge-discharge voltage, and the charge-discharge temperature can be as shown in table 1 below:
the k values in the above table may be obtained by querying a distribution k value table, which may be shown in the following table 2:
where p represents the confidence interval, The interval half width is represented, and u (x) represents the uncertainty of the systematic error of the charge-discharge measurement system.
In the embodiment of the application, the determination method of the systematic error uncertainty component of each parameter will be described by taking the rectangular (uniform) distribution class as an example, and therefore, the k value is。
Thus, the systematic error uncertainty component of the charge-discharge current of the charge-discharge measurement system may be:wherein->The maximum allowable error and resolution of the systematic error uncertainty component representing the charge and discharge current correspond to those of the charge and discharge current in table 1, and are all known values.
In some embodiments, the systematic error uncertainty component of the charge-discharge voltage of the charge-discharge measurement system may be:wherein->The maximum allowable error and resolution of the systematic error uncertainty component representing the charge-discharge voltage correspond to those of the charge-discharge voltage in table 1, and are all known values.
In some embodiments, the systematic error uncertainty component of the charge-discharge temperature of the charge-discharge measurement system may be:wherein->Systematic error uncertainty component representing charge-discharge temperature, maximum allowable error and resolution and maximum allowable error of charge-discharge temperature in table 1 And the resolution is known as the corresponding value.
In some embodiments, the systematic error uncertainty component of the charge-discharge duration of the charge-discharge measurement system may be:wherein->The maximum allowable error and resolution of the systematic error uncertainty component representing the charge-discharge duration correspond to those of the charge-discharge duration in table 1, and are all known values.
In some embodiments, the capacity measurement function is based onThe established calculation model of the uncertainty of the charge and discharge measurement system aiming at the system error of the capacity can be as follows:
wherein,systematic error uncertainty representing capacity, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>A systematic error uncertainty component representing the charge-discharge duration.
In some embodiments, the energy-based measurement functionThe built charge and discharge measurement system aims atThe systematic error uncertainty calculation model of the energy may be:
wherein,systematic error uncertainty representing energy, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +. >Systematic error uncertainty component representing charge-discharge duration, +.>A systematic error uncertainty component representing the charge-discharge voltage.
In some embodiments, a battery-based power measurement functionThe established system error uncertainty calculation model of the charge and discharge measurement system aiming at the power of the battery can be as follows:
wherein,systematic error uncertainty indicative of power, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>A systematic error uncertainty component representing the charge-discharge voltage.
In other words, the scheme according to the embodiment of the application can be based on the systematic error uncertainty component of the charge-discharge currentSystematic error uncertainty component of charge-discharge temperature +.>Systematic error uncertainty component of charge-discharge time length +.>Systematic error uncertainty component of charge-discharge voltage +.>And the aforementioned systematic error uncertainty calculation model determines the systematic error uncertainty of capacity, energy and power.
In some embodiments, the random error uncertainty of the charge-discharge measurement system may include a capacity random error uncertainty, an energy random error uncertainty, and a power random error uncertainty. The random error uncertainty is uncertainty due to a plurality of measurements, and may be determined from the plurality of measurements. The random error uncertainty can be determined, for example, based on the standard deviation of the measurement results of the measurement target multiple times and the number of measurements.
In some embodiments, the synthetic standard uncertainty may be a sum of both a random error uncertainty and a systematic error uncertainty, for example: obtaining the uncertainty of the capacity synthesis standard from the sum of the uncertainty of the capacity random error and the uncertainty of the capacity system error; obtaining the uncertainty of the energy synthesis standard from the sum of the uncertainty of the energy random error and the uncertainty of the energy systematic error; the power synthesis standard uncertainty is derived from the sum of the power random error uncertainty and the power system error uncertainty.
In the embodiment of the application, the system error uncertainty calculation model of the measurement target is established based on the functional relation between the measurement target and the variable of the measurement system with the system error uncertainty, so that the system error uncertainty of the measurement target can be determined based on the system error uncertainty calculation model and the system error uncertainty of the variable, and the synthetic standard uncertainty of the charge and discharge measurement system for the measurement target can be obtained based on the random error uncertainty and the system error uncertainty, thereby realizing effective analysis of the uncertainty of the measurement target and ensuring the measurement accuracy and reliability of the charge and discharge measurement system for the measurement target.
Fig. 2 is a flowchart illustrating a second uncertainty analysis method of a charge and discharge measurement system according to another embodiment of the present application. Referring to fig. 2, step S120 includes:
step S121: association information between variables of the target measurement function is determined.
Step S122: and establishing a system error uncertainty calculation model of the charge and discharge measurement system aiming at the measurement target based on the target measurement function and the associated information.
In the embodiment of the application, the association information between the variables of the objective measurement function can comprise charge and discharge durationCharge-discharge current->Charge-discharge voltage->And charge-discharge temperature>Association information between at least any two variables. The association information may include associations and changes between variablesThere is no correlation between the amounts.
The association information between the variables of the target measurement function is associated with the charge and discharge measurement system, and can be directly obtained through factory parameters of the charge and discharge measurement system or can be obtained through setting a function model.
In some embodiments, when it is determined that the correlation information between the variables of the objective measurement function is no correlation between any two variables of the charge-discharge duration, the charge-discharge current, the charge-discharge voltage, and the charge-discharge temperature, the established calculation model of the uncertainty of the charge-discharge measurement system with respect to the systematic error of the capacity may be:
Wherein,systematic error uncertainty representing capacity, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>Systematic error uncertainty component representing charge-discharge duration, +.>A temperature coefficient indicating a charge-discharge temperature.
The established calculation model of the charge and discharge measurement system for the systematic error uncertainty of the energy can be as follows:
wherein,systematic error uncertainty representing energy, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>Systematic error uncertainty component representing charge-discharge duration, +.>A systematic error uncertainty component representing charge-discharge voltage, +.>A temperature coefficient indicating a charge-discharge temperature.
The established system error uncertainty calculation model of the charge and discharge measurement system aiming at the power of the battery can be as follows:
wherein,systematic error uncertainty indicative of power, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>Systematic error of charge-discharge voltageDetermining a degree component- >A temperature coefficient indicating a charge-discharge temperature.
In some embodiments, when it is determined that the correlation information between the variables of the objective measurement function is that there is a correlation between at least any two variables of the charge-discharge duration, the charge-discharge current, the charge-discharge voltage, and the charge-discharge temperature, the established calculation model of the uncertainty of the charge-discharge measurement system with respect to the systematic error of the capacity may be:
wherein,systematic error uncertainty representing capacity, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>Systematic error uncertainty component representing charge-discharge duration, +.>The correlation coefficient between the charge-discharge current and the charge-discharge temperature is shown.
The established calculation model of the charge and discharge measurement system for the systematic error uncertainty of the energy can be as follows:
wherein,systematic error uncertainty representing energy, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>Systematic error uncertainty component representing charge-discharge duration, +.>A systematic error uncertainty component representing charge-discharge voltage, +.>A correlation coefficient indicating charge-discharge current and charge-discharge temperature,/- >The correlation coefficient between the charge-discharge voltage and the charge-discharge temperature is shown.
The established system error uncertainty calculation model of the charge and discharge measurement system aiming at the power of the battery can be as follows:
wherein,systematic error uncertainty indicative of power, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>A systematic error uncertainty component representing charge-discharge voltage, +.>The correlation coefficient between the charge-discharge voltage and the charge-discharge temperature is shown.
In the embodiment of the application, the association information between the variables of the objective function is acquired, and the association information is considered when the uncertainty of the measurement target is calculated, so that the measurement accuracy and reliability of the system for the measurement target can be further ensured.
According to some embodiments of the application, step S121 may include: establishing a fitting model between a measurement target and a variable of a target measurement function; correlation information between variables of the target measurement function is determined based on the fitting model.
In the embodiment of the application, the fitting model can be a fitting model between a measurement target and a measurement target function variable established by any algorithm. For example, a random forest algorithm can be used to establish the power P, the charge-discharge voltage U, the charge-discharge current I and the charge-discharge temperature The fitting model between the two can obtain the charge-discharge voltage U, the charge-discharge current I and the charge-discharge temperature +.>The correlation coefficient between the two to determine the charge-discharge voltage U, the charge-discharge current I and the charge-discharge temperatureAnd association information between them.
Exemplary, the power P is established with the charge-discharge voltage U, the charge-discharge current I and the charge-discharge temperatureFitting model between the two to obtain +.>Lower charge-discharge temperature->And the related information between the charge and discharge voltage U and the charge and discharge current I.
In some embodiments, when the associated information indicates a charge-discharge voltage U, a charge-discharge current I, and a charge-discharge temperatureWhen the association relation exists, the established calculation model of the uncertainty of the system error of the charge and discharge measurement system aiming at the capacity can be as follows:
wherein the method comprises the steps ofThe fraction is not 0.
Likewise, the established calculation model of the charge and discharge measurement system for the systematic error uncertainty of the energy can be:
wherein the method comprises the steps ofAnd is not 0.
And the established system error uncertainty calculation model of the charge and discharge measurement system for the power of the battery can be as follows:
wherein the method comprises the steps ofNor is the fraction 0.
In the embodiment of the application, the association information between the variables of the target measurement function is determined by establishing the fitting model between the measurement targets and the variables of the target measurement function, and different fitting models can be established according to different measurement targets, so that different association relations between the variables can be determined according to different measurement targets, and the obtained association relations between the variables can meet the universality requirement of the charge and discharge measurement system.
According to some embodiments of the application, the variables include charge-discharge temperature, charge-discharge current, and charge-discharge voltage, and the correlation information includes correlation coefficients between the charge-discharge temperature, the charge-discharge current, and the charge-discharge voltage at different charge-discharge temperatures.
In the embodiment of the application, the association coefficient can be a specific numerical value, the association coefficient can be compared with a threshold value, and when the numerical value of the association coefficient is smaller than the threshold value, the association between variables can be represented; and when the value of the association coefficient is greater than or equal to the threshold value, it may indicate that there is an association between the variables.
In the embodiment of the application, the association relation among the charge and discharge temperature, the charge and discharge current and the charge and discharge voltage at different charge and discharge temperatures can be accurately determined through the association coefficient, the association relation among the variables of the target measurement function at different temperatures can be obtained, and the accuracy and the reliability of the measurement system are further ensured by considering the influence of the temperature on the charge and discharge process.
According to some embodiments of the application, the variable of the objective measurement function comprises a charge-discharge temperature. Fig. 3 is a flowchart of a method for uncertainty analysis of a charge and discharge measurement system according to some embodiments of the present application. As shown in fig. 3, step S110 includes:
Step S111: based on the target measurement function, a regression model is established with the measurement target as an independent variable and the charge-discharge temperature as an independent variable.
Step S112: and determining the temperature coefficient of the charge and discharge temperature in the target measurement function based on the regression model.
In an embodiment of the present application, when the measurement target is the capacity of the battery, the capacity measurement function may be based onIn capacity->As dependent variable, charge-discharge current +.>Charge-discharge time length->Different charge and discharge temperatures->Establishing a regression model for the independent variables, wherein +.>Indicating temperature fluctuations during charge and discharge. And determining the temperature coefficient of the charge and discharge temperature based on a regression model>。
Also, when the measurement target is the energy of the battery, the function may be based on the energyWith energy +.>As dependent variable, charge-discharge voltage +.>Charge-discharge current->Charge-discharge time length->Different charge and discharge temperatures->Establishing a regression model for the independent variables, wherein +.>Representing temperature fluctuation during charge and discharge, and determining the temperature coefficient of charge and discharge temperature based on regression model>。
When the measurement target is the power of the battery, the function may be measured based on the power:with power +.>As dependent variable, charge-discharge voltage +. >Charge-discharge current->Charge-discharge time length->Different charge and discharge temperatures->Establishing a regression model for the independent variables, wherein +.>Representing temperature fluctuation during charge and discharge, and determining the temperature coefficient of charge and discharge temperature based on regression model>。
In the embodiment of the application, a regression model is established to determine the temperature coefficient of the charge and discharge temperature in the target measurement function, and the influence of the temperature on the measurement target is considered, so that the measurement result aiming at the measurement target is more accurate.
Fig. 4 is a flowchart of a method for analyzing uncertainty of a charge and discharge measurement system according to some embodiments of the present application. As shown in fig. 4, step S140 includes:
step S141: and acquiring a plurality of measurement results of the measurement target measured by the charge-discharge measurement system.
Step S142: based on a plurality of measurement results of the measurement target, a corresponding standard deviation of the measurement target is determined using a Bessel formula.
Step S143: and determining the random error uncertainty of the charge-discharge measurement system aiming at the measurement target based on the corresponding standard deviation of the measurement target.
In the embodiment of the application, the charge-discharge measurement system can perform multiple measurements when performing charge-discharge measurement, and charge-discharge time length, charge-discharge current, charge-discharge voltage and charge-discharge temperature can be obtained in each measurement. And obtaining the measurement result of the measurement target based on the charge-discharge time length, the charge-discharge current, the charge-discharge voltage and the charge-discharge temperature which are obtained by each measurement and the corresponding objective function of the measurement target. And a plurality of measurement results of the measurement target can be obtained through a plurality of measurements. Illustratively, multiple capacities are available Multiple energies->And a plurality of powers->。
Bessel formula isWherein S represents a standard deviation; n represents the number of measurements, and generally the value of n should not be less than 20; />Representing the measurement result obtained by each measurement; />The average of the multiple measurements is shown.
Exemplary, capacityThe corresponding standard deviation is->，/>Representing capacity->Standard deviation of (2); n represents the number of measurements; />A measurement result indicating the capacity obtained by each measurement; />Mean of the capacity measurements is shown.
(Energy)The corresponding standard deviation is->Wherein->Representing energy +.>Standard deviation of (2); n represents the number of measurements; />Representing the energy measurement result obtained by each measurement; />Representing the average of the energies of the multiple measurements.
Power ofThe corresponding standard deviation is->Wherein->Indicating power +.>Standard deviation of (2); n represents the number of measurements; />Representing the measurement result of the power obtained by each measurement; />Representing the average of the power of the multiple measurements.
Capacity ofRandom error uncertainty of +.>Energy->Random error uncertainty of +.>Power ofRandom error uncertainty of +.>。
In the embodiment of the application, the corresponding standard deviation of the measurement target is determined by utilizing the Bessel formula, and the random error uncertainty of the charge and discharge measurement system for the measurement target is determined based on the corresponding standard deviation of the measurement target, so that the obtained random error uncertainty has higher accuracy.
According to some embodiments of the application, step S120 comprises: based on uncertainty propagation law and a target measurement function, a system error uncertainty calculation model of the charge and discharge measurement system aiming at a measurement target is established.
In the embodiment of the application, the uncertainty propagation law is as follows:
wherein,representing uncertainty, ++>And->Representing an uncertainty component associated with an uncertainty, < +.>Representing the correlation coefficient.
Based on the uncertainty propagation law and the capacity measurement functionA systematic error uncertainty calculation model of the charge-discharge measurement system for the capacity can be established:
wherein,systematic error uncertainty representing capacity, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>Systematic error uncertainty component representing charge-discharge duration, +.>The correlation coefficient between the charge-discharge current and the charge-discharge temperature is shown.
Based on the uncertainty propagation law and the energy measurement functionA calculation model of the charge-discharge measurement system for the systematic error uncertainty of the energy can be established:
wherein,systematic error uncertainty representing capacity, +.>A systematic error uncertainty component representing charge-discharge current,/- >Systematic error uncertainty component representing charge-discharge temperature, +.>Systematic error uncertainty component representing charge-discharge duration, +.>A systematic error uncertainty component representing charge-discharge voltage, +.>A correlation coefficient indicating charge-discharge current and charge-discharge temperature,/->Phase representing charge-discharge voltage and charge-discharge temperatureAnd (5) an off coefficient.
Based on the uncertainty propagation law and the power measurement function of the batteryA systematic error uncertainty calculation model of the charge-discharge measurement system for the power of the battery can be established:
wherein,systematic error uncertainty representing capacity, +.>A systematic error uncertainty component representing charge-discharge current,/->Systematic error uncertainty component representing charge-discharge temperature, +.>A systematic error uncertainty component representing charge-discharge voltage, +.>The correlation coefficient between the charge-discharge voltage and the charge-discharge temperature is shown.
In the embodiment of the application, the process of establishing the system error uncertainty calculation model can be simpler by establishing the system error uncertainty calculation model of the charge and discharge measurement system aiming at the measurement target based on the uncertainty propagation law and the target measurement function.
According to some embodiments of the application, step S150 comprises: and obtaining the square of the synthetic standard uncertainty of the charge and discharge measurement system aiming at the measurement target based on the square of the random error uncertainty and the square of the system error uncertainty.
In the embodiment of the application, the random error is uncertainThe degree of uncertainty and the uncertainty of the system error do not have a correlation, so the square of the uncertainty of the synthesis standard of the charge and discharge measurement system aiming at the measurement target can be obtained based on the square of the uncertainty of the random error and the square of the uncertainty of the system error. For example:wherein->Representing the uncertainty of the synthesis criteria +.>Representing random error uncertainty, ++>Representing the systematic error uncertainty.
Illustratively, when the measurement target is capacity, the capacity synthesis uncertainty is(Q) Dai, wherein ∈>Synthetic standard uncertainty representing capacity, +.>Representing a random error uncertainty in the capacity,representing the systematic error uncertainty of the capacity.
Illustratively, when the measurement target is energy, the capacity composition uncertainty isWherein->Uncertainty of synthesis criterion representing energy, +.>Random error uncertainty representing energy, < ->Representing the systematic error uncertainty of the energy.
Illustratively, when the measurement target is power, the power combining uncertainty isWherein->Synthetic standard uncertainty representing power, +.>Random error uncertainty indicative of power, +. >Representing the systematic error uncertainty of the power.
In the embodiment of the application, the square of the composite standard uncertainty of the charge and discharge measurement system aiming at the measurement target is obtained by the square of the random error uncertainty and the square of the system error uncertainty, so that the obtained composite standard uncertainty is more accurate.
According to some embodiments of the application, the uncertainty analysis method of the charge and discharge measurement system further comprises: acquiring a preset confidence interval and a corresponding expansion factor thereof; and expanding the uncertainty of the synthesis standard of the charge-discharge measurement system based on the expansion factor to obtain the expanded uncertainty.
In the embodiment of the present application, fig. 5 is a graph showing the correlation between confidence intervals and spreading factors according to some embodiments of the present application, as shown in fig. 5, when the spreading factors areWhen the value of (1) is taken, the confidence interval is 68.2%; when the expansion factor is->When the value of (2) is taken as 2,confidence interval is 95.4%; when the expansion factor is->When the value of (2) is 3, the confidence interval is 99%.
In order to improve the confidence interval of the uncertainty of the synthesis standard, the uncertainty of the synthesis standard of the charge-discharge measurement system can be expanded through an expansion factor, so that the expanded uncertainty is obtained.
Illustratively, the calculation of the capacity expansion uncertainty may be:wherein->Representing capacity expansion uncertainty, ++>Representing the expansion factor->Representing the uncertainty of the capacity composition criteria.
The energy spread uncertainty can be calculated as:wherein->Representing energy spread uncertainty, +.>Representing the expansion factor->Representing the energy synthesis standard uncertainty.
The power spread uncertainty can be calculated as:wherein->Representing power spread uncertainty, +.>Representing the expansion factor->Representing the power synthesis standard uncertainty.
In the embodiment of the application, the uncertainty of the synthesis standard of the charge and discharge measurement system is expanded by the expansion factor to obtain the expanded uncertainty, and the reliability of the uncertainty can be improved because the confidence interval of the expanded uncertainty is known.
According to some embodiments of the application, the uncertainty analysis method of the charge and discharge measurement system further comprises: and obtaining the effective degree of freedom of the synthetic standard uncertainty based on the synthetic standard uncertainty, the random error uncertainty and the system error uncertainty.
In the embodiment of the application, the effective degree of freedom can be used for evaluating the reliability of the uncertainty of the synthesis standard, and when the obtained value of the effective degree of freedom is larger, the reliability of the uncertainty of the synthesis standard is higher.
Illustratively, the capacity effective degree of freedom calculation formula may be:
wherein,representing the capacity effective degree of freedom, < >>Representing capacity synthesis standard uncertainty, +.>Random error uncertainty representing capacity, +.>Systematic error uncertainty representing capacity, +.>The degree of freedom component is expressed and can be obtained from the random error uncertainty of the capacity and the systematic error uncertainty of the capacity.
The energy efficient degree of freedom calculation formula may be:
wherein,representing the degree of freedom of the energy efficiency, +.>Representing the uncertainty of the energy synthesis criterion, +.>Random error uncertainty representing energy, < ->Systematic error uncertainty representing energy, +.>The degree of freedom component is represented and can be obtained from the random error uncertainty of the energy and the systematic error uncertainty of the energy.
The power efficient degree of freedom calculation formula may be:
wherein,representing the power efficient degree of freedom, < >>Representing power synthesis standard uncertainty, +.>Random error uncertainty indicative of power, +.>Systematic error uncertainty indicative of power, +.>The degree of freedom component is represented and can be obtained from the random error uncertainty of the power and the systematic error uncertainty of the power.
In the embodiment of the application, the reliability of the uncertainty of the synthesis standard can be obtained through the effective degree of freedom of the uncertainty of the synthesis standard, thereby improving the reliability.
According to some embodiments of the application, the measurement target includes at least one of capacity, energy, and power.
In the embodiment of the application, the capacity, the energy or the power is taken as an important parameter in the charging and discharging process of the battery, the accuracy and the reliability of measurement are ensured, and the method plays an important role in the safety of the battery.
Some embodiments of the present application provide an uncertainty analysis device of a charge and discharge measurement system, and fig. 6 is a block diagram of the uncertainty analysis device of the charge and discharge measurement system according to some embodiments of the present application. As shown in fig. 6, the apparatus includes: the function obtaining module 610 is configured to obtain a target measurement function corresponding to a measurement target of the charge-discharge measurement system, where variables of the target measurement function include at least two of a charge-discharge time length, a charge-discharge current, a charge-discharge voltage, and a charge-discharge temperature, and the charge-discharge measurement system has a systematic error uncertainty component of the variables; a model building module 620 configured to build a systematic error uncertainty calculation model of the charge-discharge measurement system for the measurement target based on the target measurement function; a system error uncertainty determination module 630 configured to determine a system error uncertainty of the charge-discharge measurement system for the measurement target based on the system error uncertainty calculation model and a system error uncertainty component of the variable; a random error uncertainty determination module 640 configured to determine a random error uncertainty for the charge-discharge measurement system for the measurement target; the synthesis standard uncertainty determination module 650 is configured to obtain a synthesis standard uncertainty of the charge-discharge measurement system for the measurement target based on the random error uncertainty and the systematic error uncertainty.
In some embodiments, the model creation module 620 may include: the association relation determining module is configured to determine association information between variables of the target measurement function; the model building first sub-module is configured to build a system error uncertainty calculation model of the charge and discharge measurement system aiming at a measurement target based on the target measurement function and the associated information.
In some embodiments, the association determination module may include: a fitting model building module configured to build a fitting model between the measurement target and the variables of the target measurement function; and an association relation determination sub-module configured to determine association information between variables of the target measurement function based on the fitting model.
In some embodiments, the variables include charge-discharge temperature, charge-discharge current, charge-discharge voltage, and the correlation information includes correlation coefficients between the charge-discharge temperature, the charge-discharge current, and the charge-discharge voltage at different charge-discharge temperatures.
In some embodiments, the function acquisition module 610 may include: the regression model building module is configured to build a regression model by taking a measurement target as a dependent variable and taking a charge-discharge temperature as an independent variable based on the target measurement function; and a temperature coefficient determination module configured to determine a temperature coefficient of the charge-discharge temperature in the target measurement function based on the regression model.
In some embodiments, the random error uncertainty determination module 640 may include: a measurement result acquisition module configured to acquire a plurality of measurement results of the measurement target measured by the charge-discharge measurement system; and a standard deviation determination module configured to determine a corresponding standard deviation of the measurement target using a Bessel formula based on a plurality of measurement results of the measurement target; and a random error uncertainty determination submodule configured to determine a random error uncertainty of the charge-discharge measurement system for the measurement target based on a corresponding standard deviation of the measurement target.
In some embodiments, the model creation module 620 may include: the model building second sub-module is configured to build a system error uncertainty calculation model of the charge and discharge measurement system aiming at a measurement target based on the uncertainty propagation law and the target measurement function.
In some embodiments, the synthesis criterion uncertainty determination module 650 is configured to derive a square of the synthesis criterion uncertainty for the measurement target for the charge-discharge measurement system based on a square of the random error uncertainty and a square of the system error uncertainty.
In some embodiments, the uncertainty analysis device of the charge and discharge measurement system further includes: the system comprises a spreading factor acquisition module, a comparison module and a comparison module, wherein the spreading factor acquisition module is configured to acquire a preset confidence interval and a corresponding spreading factor thereof; and the expansion module is configured to expand the composite standard uncertainty of the charge and discharge measurement system based on the expansion factor to obtain the expanded uncertainty.
In some embodiments, the uncertainty analysis device of the charge and discharge measurement system further includes: the module of the effective degree of freedom is configured to derive an effective degree of freedom for the synthetic standard uncertainty based on the synthetic standard uncertainty, the random error uncertainty, and the systematic error uncertainty.
Some embodiments of the present application provide a charge-discharge measurement system having a synthetic standard uncertainty for a measurement target obtained using the method in the foregoing embodiments.
Some embodiments of the application provide an electronic device comprising at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores therein instructions executable by the at least one processor to enable the at least one processor to perform the uncertainty analysis method of the charge and discharge measurement system of the above-described embodiment.
Various implementations of the systems and techniques described above in this application may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
The embodiment of the application provides a charge and discharge measurement system, which comprises the electronic equipment in the embodiment.
An embodiment of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the uncertainty analysis method of the charge and discharge measurement system in the above embodiment.
A computer readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
An embodiment of the present application provides a computer program product, including a computer program, which when executed by a processor implements the uncertainty analysis method of the charge and discharge measurement system in the above embodiment.
The technical scheme of the present application is further described by a specific embodiment, and fig. 7 is a flowchart five of an uncertainty analysis method of a charge and discharge measurement system according to some embodiments of the present application. As shown in fig. 7, the method includes:
step S701: obtaining a target measurement function corresponding to a measurement target of a charge-discharge measurement system, wherein variables of the target measurement function comprise at least two of charge-discharge time length, charge-discharge current, charge-discharge voltage and charge-discharge temperature, and the charge-discharge measurement system has a systematic error uncertainty component of the variables.
Step S702: based on the target measurement function, a regression model is established with the measurement target as an independent variable and the charge-discharge temperature as an independent variable.
Step S703: and determining the temperature coefficient of the charge and discharge temperature in the target measurement function based on the regression model.
Step S704: and establishing a fitting model between the measured target and the variable of the target measurement function.
Step S705: determining association information between variables of the target measurement function based on the fitting model; the correlation information includes correlation coefficients between the charge-discharge temperature, the charge-discharge current, and the charge-discharge voltage at different charge-discharge temperatures.
Step S706: and establishing a system error uncertainty calculation model of the charge and discharge measurement system aiming at the measurement target based on the uncertainty propagation law, the target measurement function and the associated information.
Step S707: and determining the system error uncertainty of the charge and discharge measurement system for the measurement target based on the system error uncertainty calculation model and the system error uncertainty component of the variable.
Step S708: and acquiring a plurality of measurement results of the measurement target measured by the charge-discharge measurement system.
Step S709: based on a plurality of measurement results of the measurement target, a corresponding standard deviation of the measurement target is determined using a Bessel formula.
Step S710: and determining the random error uncertainty of the charge-discharge measurement system aiming at the measurement target based on the corresponding standard deviation of the measurement target.
Step S711: and obtaining the square of the synthetic standard uncertainty of the charge and discharge measurement system aiming at the measurement target based on the square of the random error uncertainty and the square of the system error uncertainty.
Step S712: and acquiring a preset confidence interval and a corresponding expansion factor thereof.
Step S713: and expanding the uncertainty of the synthesis standard of the charge-discharge measurement system based on the expansion factor to obtain the expanded uncertainty.
Step S714: and obtaining the effective degree of freedom of the synthetic standard uncertainty based on the synthetic standard uncertainty, the random error uncertainty and the system error uncertainty.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application, and are intended to be included within the scope of the appended claims and description. In particular, the technical features mentioned in the respective embodiments may be combined in any manner as long as there is no structural conflict. The present application is not limited to the specific embodiments disclosed herein, but encompasses all technical solutions falling within the scope of the claims.

Claims (16)

1. A method for uncertainty analysis of a charge-discharge measurement system, the method comprising:
Acquiring a target measurement function corresponding to a measurement target of the charge-discharge measurement system, wherein variables of the target measurement function comprise at least two of charge-discharge time length, charge-discharge current, charge-discharge voltage and charge-discharge temperature, and the charge-discharge measurement system has a systematic error uncertainty component of the variables;
determining association information between variables of the target measurement function; establishing a system error uncertainty calculation model of the charge and discharge measurement system aiming at the measurement target based on the target measurement function and the association information;
determining the system error uncertainty of the charge and discharge measurement system for the measurement target based on the system error uncertainty calculation model and the system error uncertainty component of the variable;
determining a random error uncertainty of the charge-discharge measurement system for the measurement target; and
and obtaining the synthetic standard uncertainty of the charge and discharge measurement system aiming at the measurement target based on the random error uncertainty and the system error uncertainty.
2. The method of claim 1, wherein the determining association information between variables of the target measurement function comprises:
Establishing a fitting model between the measurement target and the variable of the target measurement function;
and determining association information between variables of the target measurement function based on the fitting model.
3. The method of claim 1, wherein the variables include charge-discharge temperature, charge-discharge current, and charge-discharge voltage, and the correlation information includes correlation coefficients between the charge-discharge temperature, the charge-discharge current, and the charge-discharge voltage at different charge-discharge temperatures.
4. The method of claim 1, wherein the variable comprises a charge-discharge temperature, and the obtaining a target measurement function corresponding to a measurement target of the charge-discharge measurement system comprises:
based on the target measurement function, establishing a regression model by taking the measurement target as a dependent variable and the charge and discharge temperature as an independent variable; and
and determining a temperature coefficient of the charge and discharge temperature in the target measurement function based on the regression model.
5. The method of claim 1, wherein the determining a random error uncertainty for the charge-discharge measurement system for the measurement target comprises:
acquiring a plurality of measurement results of the measurement target measured by the charge-discharge measurement system; and
Determining a corresponding standard deviation of the measurement target by utilizing a Bessel formula based on a plurality of measurement results of the measurement target; and
and determining the random error uncertainty of the charge and discharge measurement system aiming at the measurement target based on the corresponding standard deviation of the measurement target.
6. The method of claim 1, wherein the establishing a systematic error uncertainty calculation model of the charge-discharge measurement system for the measurement target based on the target measurement function comprises:
and establishing a system error uncertainty calculation model of the charge and discharge measurement system aiming at the measurement target based on an uncertainty propagation law and the target measurement function.
7. The method of claim 1, wherein the deriving a composite standard uncertainty for the charge-discharge measurement system for the measurement target based on the random error uncertainty and the systematic error uncertainty comprises:
and obtaining the square of the synthetic standard uncertainty of the charge and discharge measurement system aiming at the measurement target based on the square of the random error uncertainty and the square of the system error uncertainty.
8. The method according to any one of claims 1 to 7, further comprising:
acquiring a preset confidence interval and a corresponding expansion factor thereof;
and expanding the uncertainty of the synthesis standard of the charge-discharge measurement system based on the expansion factor to obtain the expanded uncertainty.
9. The method according to any one of claims 1 to 7, further comprising:
and obtaining the effective degree of freedom of the synthesis standard uncertainty based on the synthesis standard uncertainty, the random error uncertainty and the system error uncertainty.
10. The method of any one of claims 1 to 7, wherein the measurement target comprises at least one of capacity, energy, and power.
11. An uncertainty analysis device of a charge-discharge measurement system, the device comprising:
the function acquisition module is configured to acquire a target measurement function corresponding to a measurement target of the charge-discharge measurement system, wherein variables of the target measurement function comprise at least two of charge-discharge time length, charge-discharge current, charge-discharge voltage and charge-discharge temperature, and the charge-discharge measurement system has a system error uncertainty component of the variables;
A correlation information determination module configured to determine correlation information between variables of the target measurement function;
a model building module configured to build a system error uncertainty calculation model of the charge and discharge measurement system for the measurement target based on the target measurement function and the association information;
a system error uncertainty determination module configured to determine a system error uncertainty of the charge-discharge measurement system for the measurement target based on the system error uncertainty calculation model and a system error uncertainty component of the variable;
a random error uncertainty determination module configured to determine a random error uncertainty of the charge-discharge measurement system for the measurement target;
and a synthesis standard uncertainty determination module configured to obtain a synthesis standard uncertainty of the charge-discharge measurement system for the measurement target based on the random error uncertainty and the system error uncertainty.
12. A charge-discharge measurement system having a synthetic standard uncertainty for a measurement target obtained by the method of any one of claims 1 to 10.
13. An electronic device, comprising:
At least one processor; and
a memory communicatively coupled to the at least one processor; wherein the method comprises the steps of
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the uncertainty analysis method of the charge-discharge measurement system of any of claims 1-10.
14. A charge-discharge measurement system comprising the electronic device of claim 13.
15. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the uncertainty analysis method of the charge-discharge measurement system according to any one of claims 1 to 10.
16. A computer program product comprising a computer program which, when executed by a processor, implements the uncertainty analysis method of a charge-discharge measurement system according to any one of claims 1 to 10.
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