CN113486498A - Equivalent circuit model parameter calibration method and device, terminal device and storage medium - Google Patents
Equivalent circuit model parameter calibration method and device, terminal device and storage medium Download PDFInfo
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Abstract
The application provides a method, a device, terminal equipment and a storage medium for calibrating equivalent circuit model parameters, wherein the method comprises the following steps: under a preset scene, detecting the voltage and current changes of the power battery at a first moment and a second moment respectively to obtain a first ohm internal resistance and a second ohm internal resistance; determining the charge states of the power battery at a first moment and a second moment according to the first ohmic internal resistance to obtain a first charge state and a second charge state; determining a parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance, and determining a standard parameter set in the parameter set according to the second state of charge; and calibrating parameters of the equivalent circuit model according to the standard parameter set. According to the method and the device, the state of charge of the power battery at the second moment can be effectively determined by filtering the first state of charge, the standard parameter set can be determined based on the second state of charge, and the equivalent circuit model can be effectively subjected to parameter calibration based on the standard parameter set.
Description
Technical Field
The application relates to the technical field of power batteries, in particular to a method and a device for calibrating equivalent circuit model parameters, terminal equipment and a storage medium.
Background
In the process of estimating the state of the power battery, a model-based method is often used, namely, simulation is performed by using an equivalent circuit of the power battery, so that the accuracy of the equivalent circuit model is very important, and the accuracy of the estimation on the state of the power battery is directly influenced.
For the equivalent circuit model, a table look-up method is usually used to obtain parameter values under different states of charge and temperatures, but with the aging of the power battery and the change of the use environment, the releasable energy of the power battery is reduced, the power level is reduced, the internal performance is represented by battery capacity attenuation and internal resistance increase, and in order to maintain the accuracy of the equivalent circuit model, the parameters of the equivalent circuit model need to be calibrated.
In the use process of the existing equivalent circuit model, the parameters of the equivalent circuit model are calibrated based on a manual experience mode, so that the calibration accuracy of the parameters of the equivalent circuit model is low.
Disclosure of Invention
In view of this, embodiments of the present application provide a method and an apparatus for calibrating parameters of an equivalent circuit model, a terminal device, and a storage medium, so as to solve the problem in the prior art that the accuracy of calibrating parameters of the equivalent circuit model is low due to calibration of parameters of the equivalent circuit model in a manner based on manual experience.
A first aspect of an embodiment of the present application provides a method for calibrating parameters of an equivalent circuit model, where the equivalent circuit model is used to simulate a power battery, and the method includes:
under a preset scene, detecting the voltage and current changes of the power battery at a first moment and a second moment respectively to obtain a first ohm internal resistance and a second ohm internal resistance;
determining the state of charge of the power battery at a first moment according to the first ohmic internal resistance to obtain a first state of charge, and filtering the first state of charge to determine the state of charge of the power battery at a second moment to obtain a second state of charge;
determining a parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance, and determining a standard parameter set in the parameter set according to the second state of charge;
and calibrating the parameters of the equivalent circuit model according to the standard parameter set.
Further, after the parameter calibration is performed on the equivalent circuit model according to the standard parameter set, the method further includes:
determining the open-circuit voltage of the equivalent circuit model after parameter calibration under the second ohmic internal resistance to obtain a second open-circuit voltage, and determining the absolute value of the voltage difference between the second open-circuit voltage and a first open-circuit voltage, wherein the first open-circuit voltage is the open-circuit voltage of the power battery at the second moment under the preset scene;
if the absolute value of the voltage difference is smaller than the voltage difference threshold, stopping the parameter calibration of the equivalent circuit model;
and if the absolute value of the voltage difference is greater than or equal to the voltage difference threshold, continuing to execute the step of determining the parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance and subsequent steps according to the equivalent circuit model after parameter calibration.
Further, the determining a corresponding parameter set of the equivalent circuit model under the second ohmic internal resistance includes:
determining an aging factor of the power battery according to the second ohmic internal resistance, and inquiring a pre-stored battery aging test data set aiming at the equivalent circuit model, wherein the aging factor is used for representing the aging degree of the power battery;
and determining battery aging test data corresponding to the aging factor of the power battery in the battery aging test data set, and acquiring the parameter set from the acquired battery aging test data, wherein the battery aging test data in the battery aging test data set comprises the corresponding aging factor, the state of charge and the parameter set, and the parameter set comprises the parameter values of ohmic internal resistance, polarization internal resistance and polarization capacitance in the equivalent circuit model.
Further, the determining a standard parameter set from the parameter set according to the second state of charge includes:
matching the second state of charge with the state of charge of the parameter set in the battery aging test data, and respectively determining the ohmic internal resistance in the matched parameter set;
and respectively calculating internal resistance difference values between the determined ohmic internal resistance and the second ohmic internal resistance, and determining a parameter set corresponding to the minimum internal resistance difference value as the standard parameter set.
Further, the first open-circuit voltage is obtained by the following steps:
the method comprises the steps of obtaining the battery capacity of the power battery at a second moment in a preset scene to obtain a first capacity, and inquiring a battery response surface of the power battery, wherein the battery response surface is used for representing the relation among the capacity, the open-circuit voltage and the state of charge of the power battery;
and matching the first capacity and the second state of charge with the battery response surface to obtain the first open-circuit voltage.
Further, the filtering the first state of charge includes:
determining the open-circuit voltage of the power battery at a first moment under a preset scene to obtain a third open-circuit voltage, and determining the open-circuit voltage of the equivalent circuit model under the first state of charge to obtain a fourth open-circuit voltage;
and carrying out unscented Kalman filtering on the first charge state according to the third open circuit voltage and the fourth open circuit voltage to obtain the second charge state.
Further, the calculation formula for determining the state of charge of the power battery at the first moment according to the first ohmic internal resistance comprises:
wherein, CQIs the battery capacity, V, of the power battery at the first momentSOCAt a first state of charge, RsdThe internal resistance of the power battery is the self-discharge internal resistance of the power battery, I is the current of the power battery at the first moment, and t is the time length of the first moment.
A second aspect of the embodiments of the present application provides an equivalent circuit model parameter calibration apparatus, including:
the ohmic internal resistance detection unit is used for detecting voltage and current changes of the power battery at a first moment and a second moment respectively under a preset scene to obtain a first ohmic internal resistance and a second ohmic internal resistance;
the charge state filtering unit is used for determining the charge state of the power battery at a first moment according to the first ohmic internal resistance to obtain a first charge state, and filtering the first charge state to determine the charge state of the power battery at a second moment to obtain a second charge state;
the parameter set determining unit is used for determining a parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance and determining a standard parameter set in the parameter set according to the second charge state;
and the parameter calibration unit is used for carrying out parameter calibration on the equivalent circuit model according to the standard parameter set.
A third aspect of the embodiments of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the terminal device, where the processor implements the steps of the equivalent circuit model parameter calibration method provided in the first aspect when executing the computer program.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the equivalent circuit model parameter calibration method provided in the first aspect.
The method, the device, the terminal equipment and the storage medium for calibrating the equivalent circuit model parameters have the following beneficial effects: by detecting the voltage and current changes of the power battery at the first moment and the second moment respectively under a preset scene, the ohmic internal resistances of the power battery at the first moment and the second moment can be effectively obtained, the charge state of the power battery at the first moment can be determined based on the first ohmic internal resistance, by filtering the first state of charge, the state of charge of the power battery at the second moment can be effectively determined, the accuracy of determining the standard parameter set in the parameter set is improved by determining the parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance, the parameter calibration can be effectively carried out on the equivalent circuit model based on the standard parameter set determined by the second charge state, the accuracy of parameter calibration of the equivalent circuit model is improved, and the phenomenon of low calibration accuracy caused by parameter calibration of the equivalent circuit model through manual experience is prevented.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, 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 application, 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 flowchart illustrating an implementation of a method for calibrating parameters of an equivalent circuit model according to an embodiment of the present disclosure;
FIG. 2 is a schematic structural diagram of an equivalent circuit model provided in the embodiment of FIG. 1;
FIG. 3 is a flowchart illustrating an implementation of a method for calibrating parameters of an equivalent circuit model according to another embodiment of the present application;
fig. 4 is a block diagram of an equivalent circuit model parameter calibration apparatus according to an embodiment of the present disclosure;
fig. 5 is a block diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The equivalent circuit model parameter calibration method according to the embodiment of the present application may be executed by a control device or a terminal (hereinafter referred to as a "mobile terminal").
Referring to fig. 1, fig. 1 is a flowchart illustrating an implementation of a method for calibrating parameters of an equivalent circuit model according to an embodiment of the present application, where the method for calibrating parameters of an equivalent circuit model includes:
step S10, under a preset scene, detecting voltage and current changes of the power battery at a first moment and a second moment respectively to obtain a first ohm internal resistance and a second ohm internal resistance.
Please refer to fig. 2, which is a schematic structural diagram of an equivalent circuit model according to an embodiment of the present application, wherein R in the equivalent circuit model0Is ohmic internal resistance, R1And R2Is the internal resistance of polarization, C1And C2Is a polarization capacitance, VocIs an open circuit voltage, VtIs the load voltage, I is the current, CQIs the battery capacity, RsdIs the self-discharge internal resistance of the battery. Optionally, in this step, before detecting the voltage and current changes of the power battery at the first time and the second time respectively in the preset scene, the method further includes:
determining an aging factor of the power battery, wherein a calculation formula adopted for determining the aging factor of the power battery comprises the following steps:
μ＝(CQ-CQ0)/CQ0
where μ is an aging factor which characterizes the degree of aging of the power cell, CQ0Is the rated capacity corresponding to the power battery;
if the aging factor of the power battery is greater than a preset value, it is determined that the aging degree of the power battery is heavy, and therefore, parameter calibration needs to be performed on the equivalent circuit model corresponding to the power battery, that is, step S10 is executed, the preset value can be set as required, and the preset value can be set as a value such as 0.03, 0.04, or 0.05;
and if the aging factor of the power battery is smaller than or equal to the preset value, judging that the aging degree of the power battery is low, and therefore, parameter calibration does not need to be carried out on an equivalent circuit model corresponding to the power battery.
Further, in this step, the aging grade of the power cell can be determined based on the aging factor, for example, when μ <0.05, the aging grade of the power cell is 1 grade, when 5% ≦ μ < 10%, the aging grade of the power cell is 2 grade, when 0.1% ≦ μ < 0.15%, the aging grade of the power cell is 3 grade …
Referring to fig. 1, in this step, if the aging factor of the power battery is greater than the preset value, under a preset scenario, voltage and current changes of the power battery at the first time and the second time are detected to obtain a first ohmic internal resistance and a second ohmic internal resistance, where the ohmic internal resistance on the power battery is a ratio of a voltage variation to a current variation on the power battery at the corresponding time, that is, the voltage and the current of the power battery are sampled in real time under the preset scenario to detect the first ohmic internal resistance corresponding to the first time and the second ohmic internal resistance corresponding to the second time of the power battery.
Optionally, the preset scene can be set according to requirements, the instantaneous loss of the electric quantity of the power battery under the preset scene is large, for example, the power battery can be assembled in an automobile, and the automobile is controlled to brake or accelerate suddenly, so that the phenomenon that the instantaneous loss of the electric quantity of the power battery is large is controlled.
Step S20, according to the first ohmic internal resistance, determining the state of charge of the power battery at a first moment to obtain a first state of charge, and filtering the first state of charge to determine the state of charge of the power battery at a second moment to obtain a second state of charge.
Determining the battery capacity of the power battery at a first moment according to the first ohmic internal resistance to obtain a second capacity, and determining the charge state of the power battery at the first moment according to the second capacity to obtain a first charge state;
in this step, the calculation formula for determining the battery capacity of the power battery at the first moment according to the first ohmic internal resistance includes:
wherein dCQThe/dn is the rate of change of the battery capacity of the power battery, CQFor the second capacity, a is an index factor, Rg 8.314J/(mol K), Δ E is the activation energy of the power cell, T is the temperature, n is the battery cycle life of the power cell, d is used to calculate CQAnd the inverse of n.
Optionally, in this step, the calculation formula adopted for determining the state of charge of the power battery at the first time according to the second capacity includes:
wherein, CQIs the battery capacity, V, of the power battery at the first momentSOCAt a first state of charge, RsdThe internal resistance of the power battery is the self-discharge internal resistance of the power battery, I is the current of the power battery at the first moment, and t is the time length of the first moment.
Optionally, in this step, the filtering the first state of charge includes:
determining the open-circuit voltage of the power battery at a first moment under a preset scene to obtain a third open-circuit voltage, and determining the open-circuit voltage of the equivalent circuit model under the first state of charge to obtain a fourth open-circuit voltage;
wherein, according to the battery identification of the power battery, inquiring the battery response surface of the power battery, wherein the battery response surface is used for representing the relationship (C) among the battery capacity, the open-circuit voltage and the state of charge in the power batteryQOCV-SOC) by comparing the second capacity and the first state of charge of the power cell at the first moment in time with the first state of chargeAnd matching the battery response surface of the power battery to determine the third open circuit voltage of the power battery at the first moment.
In the step, the equivalent circuit model is controlled to simulate in the first state of charge, and the fourth circuit voltage of the equivalent circuit model in the first state of charge is determined based on the simulation result of the equivalent circuit model.
And performing Unscented Kalman filtering on the first state of charge according to the third open circuit voltage and the fourth open circuit voltage to obtain the second state of charge, wherein Unscented Kalman filtering (Unscented Kalman Filter, UKF) is also called lossless Kalman filtering, and is the combination of lossless Transform (UT) and a standard Kalman filtering system, and a nonlinear system equation is suitable for the standard Kalman system under linear assumption through lossless Transform. The UKF uses statistical linearization techniques, called lossless transformations (unscented transformations), and unscented kalman filtering linearizes the nonlinear function of random variables mainly by linear regression of n points acquired in an a priori distribution (called sigma points), which is more accurate due to the extension of the random variables considered. And predicting the charge state based on the unscented Kalman filtering, the third open-circuit voltage and the fourth open-circuit voltage to obtain the second charge state.
And step S30, determining a parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance, and determining a standard parameter set in the parameter set according to the second state of charge.
Optionally, in this step, the determining a parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance includes:
determining an aging factor of the power battery according to the second ohmic internal resistance, and inquiring a pre-stored battery aging test data set aiming at the equivalent circuit model;
the method comprises the steps of calculating the battery capacity of a power battery at a second moment corresponding to a second ohm internal resistance to obtain a first capacity, calculating a capacity difference value between the first capacity and a rated capacity, and calculating a quotient value between the capacity difference value between the first capacity and the rated capacity to obtain an aging factor of the power battery at the second moment;
determining battery aging test data corresponding to the aging factors of the power battery in the battery aging test data set, and acquiring the parameter set from the obtained battery aging test data;
the battery aging test data in the battery aging test data set comprises corresponding aging factors, charge states and parameter sets, namely, a plurality of different battery aging test data are stored in the battery aging test data set, and each battery aging test data comprises a corresponding relation among the corresponding aging factors, charge states and parameter sets; the parameter set comprises parameter values of ohmic internal resistance, polarization internal resistance and polarization capacitance in the equivalent circuit model.
Optionally, in this step, a battery aging test is performed on the power battery, the state of charge is adjusted by constant current discharge in the test, the power battery is kept still to restore electrochemical balance, then a discharge pulse current is applied, the power battery is discharged for 10s, kept still for 40s and then charged for 10s to achieve an aging cycle test effect on the power battery, an aging test corresponding to each cycle number is performed, and meanwhile, parameter identification is performed on an equivalent circuit model (second-order equivalent circuit model) corresponding to the power battery, that is, a Levenberg-Marquard algorithm is used to solve a target function, so that an optimal solution R with a minimum target function value is obtained0，R1，τ1，τ2(C1，C2)。
The constructed objective function is:
wherein R is0>0，R1>0，τ1>0，τ2>0, t is more than or equal to 0, i represents a sampling point, and j represents the number of sampling points. Wherein tau is1＝R1C1、τ2＝R2C2。
And classifying the cycle times according to the aging factors corresponding to the cycle times to obtain parameter sets of the aging factors, and storing the corresponding relationship between each aging factor and the corresponding charge state and parameter sets to obtain the battery aging test data set.
In the step, based on the aging factor of the power battery at the second moment, corresponding battery aging test data is inquired, and a corresponding parameter set is obtained from the inquired battery aging test data.
Further, in this step, the determining a standard parameter set in the parameter set according to the second state of charge includes:
matching the second state of charge with the state of charge of the parameter set in the battery aging test data, and respectively determining the ohmic internal resistance in the matched parameter set;
for example, the queried parameter sets include parameter set a1, parameter set a2, and parameter set a3, where parameter set a1, parameter set a2, and parameter set a3 correspond to a state of charge in the battery aging test data, and when the parameter set a1, parameter set a2, and parameter set a3 correspond to states of charge b1, b2, and b3 in the battery aging test data, respectively, the second state of charge is matched with state of charge b1, b2, and b3, and the impedance of the matched corresponding parameter set of the state of charge is determined, for example, when the second state of charge is matched with state of charge b2 and b3, the internal impedances of parameter set a2 and parameter set a3 are obtained, respectively.
Respectively calculating internal resistance difference values between the determined ohmic internal resistance and the second ohmic internal resistance, and determining a parameter set corresponding to the minimum internal resistance difference value as the standard parameter set;
for example, the internal resistance difference values between the ohmic internal resistances in the parameter set a2 and the parameter set a3 and the second ohmic internal resistance are calculated respectively to obtain an internal resistance difference value c1 and an internal resistance difference value c2, and if the internal resistance difference value c1 is smaller than the internal resistance difference value c2, the parameter set a2 corresponding to the internal resistance difference value c1 is determined as the standard parameter set.
And step S40, calibrating the equivalent circuit model according to the standard parameter set.
Wherein R is in accordance with the standard parameter set1、C1And C2And corresponding parameters are used for carrying out parameter calibration on the equivalent circuit model.
In the embodiment, by detecting the voltage and current changes of the power battery at the first moment and the second moment respectively under the preset scene, the ohmic internal resistances of the power battery at the first moment and the second moment can be effectively obtained, the charge state of the power battery at the first moment can be determined based on the first ohmic internal resistance, by filtering the first state of charge, the state of charge of the power battery at the second moment can be effectively determined, the accuracy of determining the standard parameter set in the parameter set is improved by determining the parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance, the parameter calibration can be effectively carried out on the equivalent circuit model based on the standard parameter set determined by the second charge state, the accuracy of parameter calibration of the equivalent circuit model is improved, and the phenomenon of low calibration accuracy caused by parameter calibration of the equivalent circuit model through manual experience is prevented.
Referring to fig. 3, fig. 3 is a flowchart illustrating an implementation of a method for calibrating parameters of an equivalent circuit model according to another embodiment of the present application. With respect to the embodiment of fig. 1, the equivalent circuit model parameter calibration method provided in this embodiment is used to further refine the steps after step S40 in the embodiment of fig. 1, and includes:
step S50, determining an open-circuit voltage of the equivalent circuit model after parameter calibration under the second ohmic internal resistance, obtaining a second open-circuit voltage, and determining an absolute value of a voltage difference between the second open-circuit voltage and the first open-circuit voltage.
And the first open-circuit voltage is the open-circuit voltage of the power battery at the second moment under a preset scene.
Optionally, in this step, the first open-circuit voltage is obtained through the following steps:
acquiring the battery capacity of the power battery at a second moment in a preset scene to obtain a first capacity, and inquiring a battery response surface of the power battery;
matching the first capacity and the second state of charge with the battery response surface to obtain the first open-circuit voltage;
in the step, since the battery response surface is used for representing the relationship among the capacity, the open-circuit voltage and the state of charge of the power battery, the first open-circuit voltage of the power battery at the second moment is determined by matching the first capacity and the second state of charge of the power battery corresponding to the second moment with the battery response surface.
In this step, the equivalent circuit model after parameter calibration is controlled to perform simulation at the second ohmic internal resistance, the second open-circuit voltage is determined according to the simulation result, and the absolute value of the voltage difference between the second open-circuit voltage and the first open-circuit voltage is calculated, and the absolute value of the voltage difference is used for representing the error of the equivalent circuit model after parameter calibration, that is, when the absolute value of the voltage difference is larger, the error of the equivalent circuit model after parameter calibration is larger, and when the absolute value of the voltage difference is smaller, the error of the equivalent circuit model after parameter calibration is smaller.
Step S60, if the absolute value of the voltage difference is smaller than the voltage difference threshold, stopping calibrating the parameters of the equivalent circuit model.
The voltage difference threshold value can be set according to requirements, and when the absolute value of the voltage difference is smaller than the voltage difference threshold value, the equivalent circuit model after parameter calibration is determined to be converged, namely, the equivalent circuit model after parameter calibration can effectively replace the power battery, and the parameter calibration of the equivalent circuit model after parameter calibration is stopped.
Step S70, if the absolute value of the voltage difference is greater than or equal to the voltage difference threshold, continuing to execute the step of determining the parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance and subsequent steps according to the equivalent circuit model after parameter calibration.
If the absolute value of the voltage difference is greater than or equal to the voltage difference threshold, determining that the error of the equivalent circuit model after parameter calibration is larger, and continuing to execute the step of determining the parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance and subsequent steps to achieve the effect of circularly performing parameter calibration on the equivalent circuit model after parameter calibration until the absolute value of the voltage difference is smaller than the voltage difference threshold, or when the parameter calibration time of the equivalent circuit model is greater than the time threshold, sending a parameter calibration error prompt aiming at the equivalent circuit model, wherein the parameter calibration error prompt is used for prompting a user, and the equivalent circuit model has a parameter calibration error and needs manual detection or calibration.
Optionally, in this step, if the absolute value of the voltage difference is greater than or equal to the voltage difference threshold, the step returns to execute if the absolute value of the voltage difference is greater than or equal to the voltage difference threshold according to the equivalent circuit model after parameter calibration, the step (step S10) and the subsequent steps of the equivalent circuit model after parameter calibration are performed to prevent the error of parameter calibration of the equivalent circuit model caused by the error detection of the voltage and current changes of the power battery at the first time and the second time, in this step, the first time and the second time can be set according to the requirement, and the first time and the second time are the testing time of the same power battery under a preset scene, for example, when the preset scene is to control the automobile to brake suddenly, the first time and the second time can be set correspondingly, and the time corresponding to the 0.5 th second and the 1.5 th second starting from the time point of controlling the automobile to brake suddenly.
In the embodiment, by acquiring the open-circuit voltage of the power battery at the second moment under the preset scene, the first open-circuit voltage is obtained, and the equivalent circuit model after parameter calibration is determined, obtaining a second open-circuit voltage at the open-circuit voltage under the second ohmic internal resistance, effectively improving the accuracy of calculating the absolute value of the voltage difference, effectively representing the error of the equivalent circuit model after parameter calibration based on the calculated absolute value of the voltage difference, effectively judging whether the equivalent circuit model after parameter calibration converges based on the comparison between the absolute value of the voltage difference and the threshold value of the voltage difference, if the absolute value of the voltage difference is greater than or equal to the threshold value of the voltage difference, and continuously executing the step of determining the parameter set corresponding to the equivalent circuit model under the second ohm internal resistance and the subsequent steps through the equivalent circuit model after parameter calibration so as to achieve the effect of circularly performing parameter calibration on the equivalent circuit model after parameter calibration.
Referring to fig. 4, fig. 4 is a block diagram illustrating an equivalent circuit model parameter calibration apparatus 100 according to an embodiment of the present disclosure. The equivalent circuit model parameter calibration apparatus 100 in this embodiment includes units for executing the steps in the embodiments corresponding to fig. 1 and fig. 3. Please refer to fig. 1 and fig. 3 and the related descriptions in the embodiments corresponding to fig. 1 and fig. 3. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 4, the equivalent circuit model parameter calibration apparatus 100 includes: ohmic internal resistance detection unit 10, state of charge filtering unit 11, parameter set determination unit 12 and parameter calibration unit 13, wherein:
the ohmic internal resistance detection unit 10 is configured to detect voltage and current changes of the power battery at a first time and a second time respectively in a preset scene to obtain a first ohmic internal resistance and a second ohmic internal resistance.
The state of charge filtering unit 11 is configured to determine a state of charge of the power battery at a first time according to the first ohmic internal resistance to obtain a first state of charge, and filter the first state of charge to determine a state of charge of the power battery at a second time to obtain a second state of charge.
Wherein, the state of charge filtering unit 11 is further configured to: determining the open-circuit voltage of the power battery at a first moment under a preset scene to obtain a third open-circuit voltage, and determining the open-circuit voltage of the equivalent circuit model under the first state of charge to obtain a fourth open-circuit voltage;
and carrying out unscented Kalman filtering on the first charge state according to the third open circuit voltage and the fourth open circuit voltage to obtain the second charge state.
Optionally, the calculation formula for determining the state of charge of the power battery at the first time according to the first ohmic internal resistance includes:
wherein, CQIs the battery capacity, V, of the power battery at the first momentSOCAt a first state of charge, RsdThe internal resistance of the power battery is the self-discharge internal resistance of the power battery, I is the current of the power battery at the first moment, and t is the time length of the first moment.
And the parameter set determining unit 12 is configured to determine a parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance, and determine a standard parameter set in the parameter set according to the second state of charge.
Wherein the parameter set determining unit 12 is further configured to: determining an aging factor of the power battery according to the second ohmic internal resistance, and inquiring a pre-stored battery aging test data set aiming at the equivalent circuit model, wherein the aging factor is used for representing the aging degree of the power battery;
and determining battery aging test data corresponding to the aging factor of the power battery in the battery aging test data set, and acquiring the parameter set from the acquired battery aging test data, wherein the battery aging test data in the battery aging test data set comprises the corresponding aging factor, the state of charge and the parameter set, and the parameter set comprises the parameter values of ohmic internal resistance, polarization internal resistance and polarization capacitance in the equivalent circuit model.
Optionally, the parameter set determining unit 12 is further configured to: matching the second state of charge with the state of charge of the parameter set in the battery aging test data, and respectively determining the ohmic internal resistance in the matched parameter set;
and respectively calculating internal resistance difference values between the determined ohmic internal resistance and the second ohmic internal resistance, and determining a parameter set corresponding to the minimum internal resistance difference value as the standard parameter set.
And the parameter calibration unit 13 is configured to perform parameter calibration on the equivalent circuit model according to the standard parameter set.
Wherein, the parameter calibration unit 13 is further configured to: acquiring the open-circuit voltage of the power battery at a second moment in a preset scene to obtain a first open-circuit voltage;
determining the open-circuit voltage of the equivalent circuit model after parameter calibration under the second ohmic internal resistance to obtain a second open-circuit voltage, and determining the absolute value of the voltage difference between the second open-circuit voltage and a first open-circuit voltage, wherein the first open-circuit voltage is the open-circuit voltage of the power battery at the second moment under the preset scene;
if the absolute value of the voltage difference is smaller than the voltage difference threshold, stopping the parameter calibration of the equivalent circuit model;
and if the absolute value of the voltage difference is greater than or equal to the voltage difference threshold, continuing to execute the step of determining the parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance and subsequent steps according to the equivalent circuit model after parameter calibration.
Optionally, the parameter calibration unit 13 is further configured to: the method comprises the steps of obtaining the battery capacity of the power battery at a second moment in a preset scene to obtain a first capacity, and inquiring a battery response surface of the power battery, wherein the battery response surface is used for representing the relation among the capacity, the open-circuit voltage and the state of charge of the power battery;
and matching the first capacity and the second state of charge with the battery response surface to obtain the first open-circuit voltage.
In the embodiment, by detecting the voltage and current changes of the power battery at the first moment and the second moment respectively under the preset scene, the ohmic internal resistances of the power battery at the first moment and the second moment can be effectively obtained, the charge state of the power battery at the first moment can be determined based on the first ohmic internal resistance, by filtering the first state of charge, the state of charge of the power battery at the second moment can be effectively determined, the accuracy of determining the standard parameter set in the parameter set is improved by determining the parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance, the parameter calibration can be effectively carried out on the equivalent circuit model based on the standard parameter set determined by the second charge state, the accuracy of parameter calibration of the equivalent circuit model is improved, and the phenomenon of low calibration accuracy caused by parameter calibration of the equivalent circuit model through manual experience is prevented.
Fig. 5 is a block diagram of a terminal device 2 according to another embodiment of the present application. As shown in fig. 5, the terminal device 2 of this embodiment includes: a processor 20, a memory 21 and a computer program 22, such as a program of an equivalent circuit model parameter calibration method, stored in said memory 21 and executable on said processor 20. The processor 20, when executing the computer program 23, implements the steps of the equivalent circuit model parameter calibration method in each embodiment, such as S10 to S40 shown in fig. 1 or S50 to S70 shown in fig. 3. Alternatively, when the processor 20 executes the computer program 22, the functions of the units in the embodiment corresponding to fig. 4, for example, the functions of the units 10 to 13 shown in fig. 4, are implemented, for which reference is specifically made to the relevant description in the embodiment corresponding to fig. 4, which is not repeated herein.
Illustratively, the computer program 22 may be divided into one or more units, which are stored in the memory 21 and executed by the processor 20 to accomplish the present application. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 22 in the terminal device 2. For example, the computer program 22 may be divided into an ohmic internal resistance detection unit 10, a state of charge filtering unit 11, a parameter set determination unit 12 and a parameter calibration unit 13, each functioning as described above.
The terminal device may include, but is not limited to, a processor 20, a memory 21. It will be appreciated by those skilled in the art that fig. 5 is merely an example of a terminal device 2 and does not constitute a limitation of the terminal device 2 and may include more or less components than those shown, or some components may be combined, or different components, for example the terminal device may also include input output devices, network access devices, buses, etc.
The Processor 20 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-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 21 may be an internal storage unit of the terminal device 2, such as a hard disk or a memory of the terminal device 2. The memory 21 may also be an external storage device of the terminal device 2, 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 2. Further, the memory 21 may also include both an internal storage unit and an external storage device of the terminal device 2. The memory 21 is used for storing the computer program and other programs and data required by the terminal device. The memory 21 may also be used to temporarily store data that has been output or is to be output.
The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments may be implemented.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should 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 application and are intended to be included within the scope of the present application.
Claims (10)
1. A method for calibrating equivalent circuit model parameters is characterized by comprising the following steps:
under a preset scene, detecting the voltage and current changes of the power battery at a first moment and a second moment respectively to obtain a first ohm internal resistance and a second ohm internal resistance;
determining the state of charge of the power battery at a first moment according to the first ohmic internal resistance to obtain a first state of charge, and filtering the first state of charge to determine the state of charge of the power battery at a second moment to obtain a second state of charge;
determining a parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance, and determining a standard parameter set in the parameter set according to the second state of charge;
and calibrating the parameters of the equivalent circuit model according to the standard parameter set.
2. The method for calibrating parameters of an equivalent circuit model according to claim 1, wherein after calibrating the parameters of the equivalent circuit model according to the standard parameter set, the method further comprises:
determining the open-circuit voltage of the equivalent circuit model after parameter calibration under the second ohmic internal resistance to obtain a second open-circuit voltage, and determining the absolute value of the voltage difference between the second open-circuit voltage and a first open-circuit voltage, wherein the first open-circuit voltage is the open-circuit voltage of the power battery at the second moment under the preset scene;
if the absolute value of the voltage difference is smaller than the voltage difference threshold, stopping the parameter calibration of the equivalent circuit model;
and if the absolute value of the voltage difference is greater than or equal to the voltage difference threshold, continuing to execute the step of determining the parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance and subsequent steps according to the equivalent circuit model after parameter calibration.
3. The equivalent circuit model parameter calibration method of claim 1, wherein the determining the corresponding parameter set of the equivalent circuit model at the second ohmic internal resistance comprises:
determining an aging factor of the power battery according to the second ohmic internal resistance, and inquiring a pre-stored battery aging test data set aiming at the equivalent circuit model, wherein the aging factor is used for representing the aging degree of the power battery;
and determining battery aging test data corresponding to the aging factor of the power battery in the battery aging test data set, and acquiring the parameter set from the acquired battery aging test data, wherein the battery aging test data in the battery aging test data set comprises the corresponding aging factor, the state of charge and the parameter set, and the parameter set comprises the parameter values of ohmic internal resistance, polarization internal resistance and polarization capacitance in the equivalent circuit model.
4. The equivalent circuit model parameter calibration method of claim 3, wherein said determining a standard parameter set of said parameter set according to said second state of charge comprises:
matching the second state of charge with the state of charge of the parameter set in the battery aging test data, and respectively determining the ohmic internal resistance in the matched parameter set;
and respectively calculating internal resistance difference values between the determined ohmic internal resistance and the second ohmic internal resistance, and determining a parameter set corresponding to the minimum internal resistance difference value as the standard parameter set.
5. The equivalent circuit model parameter calibration method according to claim 2, wherein the first open-circuit voltage is obtained by:
the method comprises the steps of obtaining the battery capacity of the power battery at a second moment in a preset scene to obtain a first capacity, and inquiring a battery response surface of the power battery, wherein the battery response surface is used for representing the relation among the capacity, the open-circuit voltage and the state of charge of the power battery;
and matching the first capacity and the second state of charge with the battery response surface to obtain the first open-circuit voltage.
6. The equivalent circuit model parameter calibration method of claim 1, wherein said filtering said first state of charge comprises:
determining the open-circuit voltage of the power battery at a first moment under a preset scene to obtain a third open-circuit voltage, and determining the open-circuit voltage of the equivalent circuit model under the first state of charge to obtain a fourth open-circuit voltage;
and carrying out unscented Kalman filtering on the first charge state according to the third open circuit voltage and the fourth open circuit voltage to obtain the second charge state.
7. The equivalent circuit model parameter calibration method according to any one of claims 1 to 6, wherein the calculation formula for determining the state of charge of the power battery at the first moment according to the first ohmic internal resistance comprises:
wherein, CQIs the battery capacity, V, of the power battery at the first momentSOCAt a first state of charge, RsdThe internal resistance of the power battery is the self-discharge internal resistance of the power battery, I is the current of the power battery at the first moment, and t is the time length of the first moment.
8. An equivalent circuit model parameter calibration device, comprising:
the ohmic internal resistance detection unit is used for detecting voltage and current changes of the power battery at a first moment and a second moment respectively under a preset scene to obtain a first ohmic internal resistance and a second ohmic internal resistance;
the charge state filtering unit is used for determining the charge state of the power battery at a first moment according to the first ohmic internal resistance to obtain a first charge state, and filtering the first charge state to determine the charge state of the power battery at a second moment to obtain a second charge state;
the parameter set determining unit is used for determining a parameter set corresponding to the equivalent circuit model under the second ohmic internal resistance and determining a standard parameter set in the parameter set according to the second charge state;
and the parameter calibration unit is used for carrying out parameter calibration on the equivalent circuit model according to the standard parameter set.
9. 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 7 when executing the computer program.
10. 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 7.
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