CN109991546B - Battery parameter acquisition method and device and terminal equipment - Google Patents
Battery parameter acquisition method and device and terminal equipment Download PDFInfo
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Abstract
The invention is suitable for the technical field of batteries, and provides a battery parameter acquisition method, a device and terminal equipment, wherein the method comprises the following steps: establishing an equivalent circuit model of the battery; acquiring open-circuit voltages at different battery temperatures; performing parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering; and acquiring and displaying battery parameters according to the parameter identification result. The method has the advantages that the battery equivalent model is built, offline data and online data are combined, parameters of the battery equivalent model at different temperatures and different cycle lives are accurately identified, parameter identification is carried out based on a self-adaptive H infinite filtering theory, noise interference is effectively overcome, battery parameters can be accurately estimated in real time, and the problem that the identification result is inaccurate when the battery parameters of the battery model are identified at present is effectively solved.
Description
Technical Field
The invention belongs to the technical field of batteries, and particularly relates to a battery parameter acquisition method, a device and terminal equipment.
Background
With energy crisis and environmental pollution, new energy automobiles gradually develop into the optimal choice for automobile development. The lithium ion battery has the advantages of high energy density, long cycle life, no memory and the like, and becomes a better choice for a battery system of a new energy automobile. In order to better ensure the use safety of the battery and ensure the output of the performance of the battery, when the basic characteristics and the use condition of the lithium ion battery are researched, a mathematical model of the lithium ion battery, such as an internal resistance model, a first-order RC model, a second-order RC model, a neural network model and the like, needs to be established, and then parameters in the model are identified through measurable related physical quantities, such as current, voltage, temperature and the like. However, in the current parameter identification, an off-line mixed pulse power test is usually adopted to periodically charge and discharge the battery to obtain the internal parameters of the battery. The parameter identification result is not accurate because the influence of the temperature and the aging of the battery on the internal parameters cannot be considered.
In summary, the problem of inaccurate identification result of the battery parameter of the current battery model is identified.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and a terminal device for acquiring battery parameters, so as to solve the problem that the current battery parameter for identifying a battery model has an inaccurate identification result.
The first aspect of the present invention provides a battery parameter obtaining method, including:
establishing an equivalent circuit model of the battery;
acquiring open-circuit voltages at different battery temperatures;
performing parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering;
and acquiring and displaying battery parameters according to the parameter identification result.
A second aspect of the present invention provides a battery parameter acquisition apparatus, including:
the model establishing module is used for establishing an equivalent circuit model of the battery;
the voltage acquisition module is used for acquiring open-circuit voltages at different battery temperatures;
the identification module is used for carrying out parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering;
and the parameter acquisition module is used for acquiring and displaying the battery parameters according to the parameter identification result.
A third aspect of the present invention provides a terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
establishing an equivalent circuit model of the battery;
acquiring open-circuit voltages at different battery temperatures;
performing parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering;
and acquiring and displaying battery parameters according to the parameter identification result.
A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, performs the steps of:
establishing an equivalent circuit model of the battery;
acquiring open-circuit voltages at different battery temperatures;
performing parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering;
and acquiring and displaying battery parameters according to the parameter identification result.
According to the battery parameter obtaining method, the battery parameter obtaining device and the terminal equipment, the battery equivalent model is established, the offline data and the online data are combined, the parameters of the battery equivalent model at different temperatures and different cycle lives are accurately identified, the parameter identification is carried out based on the self-adaptive H infinite filtering theory, the noise interference is effectively overcome, the battery parameters can be accurately estimated in real time, and the problem that the identification result of the battery parameters of the existing battery model is inaccurate is effectively solved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart illustrating an implementation process of a battery parameter obtaining method according to an embodiment of the present invention;
fig. 2 is a schematic circuit configuration diagram of an equivalent circuit model of a battery;
FIG. 3 is a graphical illustration of a battery open circuit voltage curve obtained from test data;
fig. 4 is a schematic flow chart of an implementation of step S103 according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a battery parameter obtaining apparatus according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of the identification module 103 according to the third embodiment of the present invention;
fig. 7 is a schematic diagram of a terminal device according to a fifth embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular device structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known devices, apparatuses, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to solve the problem that the identification result of the battery parameter for identifying the battery model is inaccurate at present, the embodiment of the invention provides a battery parameter obtaining method, a battery parameter obtaining device and terminal equipment.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
The first embodiment is as follows:
as shown in fig. 1, the present embodiment provides a method for acquiring battery parameters, which specifically includes:
step S101: and establishing an equivalent circuit model of the battery.
In a specific application, the equivalent circuit model of the battery is a first-order equivalent circuit model, the circuit model of the equivalent circuit model is shown in fig. 2, and the mathematical model for obtaining the first-order equivalent circuit model is as follows:
wherein E is terminal voltage, VOCVIs an open circuit voltage, R0Is ohmic internal resistance, R1C1For describing polarization characteristics, polarization resistance R, during charging and discharging of the battery1Voltage at both ends is V1I charge and discharge current.
Discretizing the first-order equivalent circuit model to obtain:
step S102: and acquiring open-circuit voltages at different battery temperatures.
In a specific application, a battery is tested under laboratory conditions, and open circuit voltage curves at different temperatures are determined according to test data, wherein the open circuit voltage curves at different temperatures are shown in fig. 3, and a specific test method is as follows:
1) the cell was left in a constant temperature tester with a constant set temperature. Fully charging the battery by a charging method specified by a manufacturer, standing for a long enough time after charging is finished so that the voltage of the battery reaches the temperature, and keeping the temperature of the battery consistent with the set temperature.
2) Discharging the battery with 10% of residual electricity at a constant current, and standing for 2 h;
3) and repeating the step 2), and standing for 2h until the residual capacity of the battery is 0. Recording the battery voltage after each standing is finished as the open-circuit voltage under the SOC condition;
4) changing the temperature of the temperature tester, repeating the steps 1) to 3), and testing at the temperature of-20-60 ℃ once every 10 ℃.
In specific application, the current open-circuit voltage is determined according to the current temperature and the current residual capacity of the battery by acquiring the current temperature and the current residual capacity of the battery and by a table look-up method. The current temperature of the battery is acquired by detecting and acquiring through a temperature sensor connected with the battery.
Therefore, when the open-circuit voltage of the battery is calculated, the open-circuit voltage value of the battery at the moment can be obtained according to the remaining capacity of the battery and the battery temperature lookup table. The residual electric quantity of the battery can be obtained by calculation according to an ampere-hour integral method, and the specific calculation formula is as follows:
in the formula, skThe residual electric quantity of the battery at the moment k, eta is the charge-discharge efficiency of the battery, delta t is the sampling interval time, CnIs the nominal capacity of the battery.
Step S103: and carrying out parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering.
In specific application, parameter identification is carried out in the self-adaptive H infinite filter parameter identification model according to the state equation of the equivalent circuit model of the battery and the acquired open-circuit voltage at different temperatures, so that internal noise is overcome, and a more accurate parameter identification result is obtained.
In specific application, the current temperature of the battery is acquired through a sensor connected with the battery, and then the parameter identification process is realized through a microprocessor.
Step S104: and acquiring and displaying battery parameters according to the parameter identification result.
In specific application, parameters of the battery are obtained through recognition of an H infinite filter parameter recognition model, and the parameters of the battery comprise ohmic internal resistance R0Internal polarization resistance R1And a polarization capacitor C1And displaying the battery parameters through an upper computer connected with the microprocessor.
According to the battery parameter obtaining method provided by the embodiment, the parameters of the battery equivalent model at different temperatures and different cycle lives can be accurately identified by establishing the equivalent model of the battery and combining the off-line data with the on-line data, the parameter identification is carried out based on the self-adaptive H infinite filtering theory, the noise interference is effectively overcome, the battery parameters can be accurately estimated in real time, and the problem that the identification result of the battery parameters of the existing battery model is inaccurate is effectively solved.
Example two:
as shown in fig. 4, in the present embodiment, the step S103 in the first embodiment specifically includes:
step S201: and determining a battery state equation according to the equivalent circuit model of the battery.
In a specific application, according to a discretization equation of a first-order equivalent circuit model, a state equation of the battery is as follows:
step S202: setting a filtering initial value which comprises a state vector at an initial moment, an initial state estimation error covariance, a system noise covariance matrix, a measured noise covariance matrix and a symmetrical positive definite matrix.
In a specific application, a filtering initial value related to filtering is set, and the initial value comprises a state vector at an initial moment
State estimation error covariance matrix P+ h,0System noise covariance matrix Qh,0Measuring the noise covariance matrix Rh,0Symmetric positive definite matrix Sh,0。
Step S203: and carrying out prior estimation and updating on the initial filtering value according to the current temperature and the current residual capacity.
In a specific application, the a priori estimates include a state a priori estimate and an a priori estimate of the error covariance.
The state prior estimation formula is as follows:
wherein
The prior estimation formula of the error covariance is as follows:
and updating the symmetric matrix into the following state according to the current temperature and the current residual capacity:
updating the adaptive measurement noise covariance matrix to:
update the H infinite gain to:
the system noise covariance matrix is updated as:
the state quantity is updated as:
the state estimation error covariance matrix is updated as:
step S204: and dynamically estimating the battery parameters of the battery model according to the updated self-adaptive H infinite filtering model.
In specific application, the battery parameters of the input battery model are dynamically estimated through the dynamically updated adaptive H infinite filter model, and the parameters of the battery can be obtained.
Example three:
as shown in fig. 5, the present embodiment provides a battery parameter obtaining apparatus 100 for performing the method steps of the first embodiment, which includes a model building module 101, a voltage obtaining module 102, an identification module 103, and a parameter obtaining module 104.
The model establishing module 101 is used for establishing an equivalent circuit model of the battery.
The voltage obtaining module 102 is used for obtaining open-circuit voltages at different battery temperatures.
The identification module 103 is configured to perform parameter identification on the equivalent circuit model according to an open-circuit voltage curve at different battery temperatures based on adaptive H-infinity filtering.
The parameter obtaining module 104 is configured to obtain and display the battery parameter according to the parameter identification result.
In one embodiment, the voltage obtaining module 103 includes a curve unit, an obtaining unit, and a voltage unit.
And the curve unit is used for determining open-circuit voltage curves at different battery temperatures according to the test data.
The acquisition unit is used for acquiring the current temperature and the current residual capacity of the battery.
And the voltage unit is used for determining the current open-circuit voltage according to the current temperature and the current residual capacity of the battery by a table look-up method.
It should be noted that, since the battery parameter obtaining apparatus provided in the embodiment of the present invention is based on the same concept as the method embodiment shown in fig. 1 of the present invention, the technical effect thereof is the same as the method embodiment shown in fig. 1 of the present invention, and specific contents may refer to the description in the method embodiment shown in fig. 1 of the present invention, and are not described herein again.
Therefore, the battery parameter acquisition device provided by the embodiment can combine offline data with online data through establishing the equivalent model of the battery, realize that the parameters of the battery equivalent model under different temperatures and different cycle lives are accurately identified, and perform parameter identification based on the self-adaptive H infinite filtering theory, thereby effectively overcoming noise interference, accurately estimating the battery parameters in real time, and effectively solving the problem that the identification result of the battery parameters of the current battery model is inaccurate.
Example four:
as shown in fig. 6, in the present embodiment, the identification module 103 in the third embodiment includes a structure for executing the method steps in the embodiment corresponding to fig. 4, and includes an equation determining unit 201, a setting unit 202, an updating unit 203, and an estimating unit 204.
The equation determination unit 201 is configured to determine a battery state equation according to an equivalent circuit model of the battery.
The setting unit 202 is configured to set a filtering initial value, which includes a state vector at an initial time, an initial state estimation error covariance, a system noise covariance matrix, a measurement noise covariance matrix, and a symmetric positive definite matrix.
The updating unit 205 is configured to perform prior estimation and updating on the initial filtering value according to the current temperature and the current remaining power.
The estimation unit 204 is configured to dynamically estimate the battery parameters of the battery model according to the updated adaptive H-infinity filter model.
Example five:
fig. 7 is a schematic diagram of a terminal device according to a fifth embodiment of the present invention. As shown in fig. 7, the terminal device 5 of this embodiment includes: a processor 50, a memory 51 and a computer program 52, e.g. a program, stored in said memory 51 and executable on said processor 50. The processor 50, when executing the computer program 52, implements the steps in the above-described embodiments of the picture processing method, such as the steps S101 to S104 shown in fig. 1. Alternatively, the processor 50, when executing the computer program 52, implements the functions of the modules/units in the above-described apparatus embodiments, such as the functions of the modules 101 to 104 shown in fig. 5.
Illustratively, the computer program 52 may be partitioned into one or more modules/units that are stored in the memory 51 and executed by the processor 50 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 52 in the terminal device 5. For example, the computer program 52 may be divided into a model building module, a voltage obtaining module, an identification module, and a parameter obtaining module, and each module has the following specific functions:
the model establishing module is used for establishing an equivalent circuit model of the battery;
the voltage acquisition module is used for acquiring open-circuit voltages at different battery temperatures;
the identification module is used for carrying out parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering;
and the parameter acquisition module is used for acquiring and displaying the battery parameters according to the parameter identification result.
The terminal device 5 may be a desktop computer, a notebook, a palm computer, a cloud management server, or other computing devices. The terminal device may include, but is not limited to, a processor 50, a memory 51. Those skilled in the art will appreciate that fig. 7 is merely an example of a terminal device 5 and does not constitute a limitation of terminal device 5 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the terminal device may also include input-output devices, network access devices, buses, etc.
The Processor 50 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 51 may be an internal storage unit of the terminal device 5, such as a hard disk or a memory of the terminal device 5. The memory 51 may also be an external storage device of the terminal device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the terminal device 5. The memory 51 is used for storing the computer program and other programs and data required by the terminal device. The memory 51 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the wireless terminal may refer to the corresponding process in the foregoing method embodiments, and details are not repeated here.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another apparatus, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and configured for individual product sale or use, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (8)
1. A battery parameter acquisition method is characterized by comprising the following steps:
establishing an equivalent circuit model of the battery;
obtaining open circuit voltages at different cell temperatures, comprising: determining open-circuit voltage curves at different battery temperatures according to the test data; acquiring the current temperature and the current residual capacity of the battery; determining the current open-circuit voltage according to the current temperature and the current remaining capacity of the battery by a table look-up method;
performing parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering;
acquiring and displaying battery parameters according to the parameter identification result, wherein the battery parameters comprise ohmic internal resistanceR 0 Internal resistance of polarizationR 1 And polarization capacitanceC 1 。
2. The method of claim 1, wherein the equivalent circuit model is a first order equivalent circuit model, and wherein the first order equivalent circuit model is:
wherein the content of the first and second substances,Eto be the terminal voltage,V OCV is a voltage of an open circuit, and,R 0 in order to obtain the ohmic internal resistance,R 1 C 1 for describing polarization characteristics and polarization resistance of battery during charging and dischargingR 1 A voltage across isV 1 ，IAnd charging and discharging current.
3. The method of claim 1, wherein the parameter identification of the equivalent circuit model from the open circuit voltage curves at different battery temperatures based on adaptive H-infinity filtering comprises:
determining a battery state equation according to the equivalent circuit model of the battery;
setting a filtering initial value, which comprises a state vector at an initial moment, an initial state estimation error covariance, a system noise covariance matrix, a measured noise covariance matrix and a symmetric positive definite matrix;
carrying out prior estimation and updating on the initial filtering value according to the current temperature and the current residual capacity;
and dynamically estimating the battery parameters of the equivalent circuit model according to the updated self-adaptive H infinite filtering model.
4. The method of claim 1, wherein the battery parameters are displayed by an upper computer.
5. A battery parameter acquisition apparatus, comprising:
the model establishing module is used for establishing an equivalent circuit model of the battery;
the voltage acquisition module is used for acquiring open-circuit voltages at different battery temperatures; the voltage acquisition module includes: the curve unit is used for determining open-circuit voltage curves at different battery temperatures according to the test data; the acquisition unit is used for acquiring the current temperature and the current residual capacity of the battery; the voltage unit is used for determining the current open-circuit voltage according to the current temperature and the current remaining capacity of the battery by a table look-up method;
the identification module is used for carrying out parameter identification on the equivalent circuit model according to the open-circuit voltage curves at different battery temperatures based on adaptive H infinite filtering;
a parameter obtaining module for obtaining and displaying battery parameters according to the parameter identification result, wherein the battery parameters comprise ohmic internal resistanceR 0 Internal resistance of polarizationR 1 And polarization capacitanceC 1 。
6. The battery parameter obtaining apparatus according to claim 5, wherein the identification module comprises:
the equation determining unit is used for determining a battery state equation according to the equivalent circuit model of the battery;
the device comprises a setting unit, a filtering unit and a filtering unit, wherein the setting unit is used for setting a filtering initial value, and the filtering initial value comprises a state vector at an initial moment, an initial state estimation error covariance, a system noise covariance matrix, a measurement noise covariance matrix and a symmetrical positive definite matrix;
the updating unit is used for carrying out prior estimation and updating on the initial filtering value according to the current temperature and the current residual capacity;
and the estimation unit is used for dynamically estimating the battery parameters of the equivalent circuit model according to the updated self-adaptive H infinite filter model.
7. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 4 when executing the computer program.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
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