CN113917348A - Battery SOC correction method and device, computer equipment and storage medium - Google Patents

Battery SOC correction method and device, computer equipment and storage medium Download PDF

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Publication number
CN113917348A
CN113917348A CN202111167758.0A CN202111167758A CN113917348A CN 113917348 A CN113917348 A CN 113917348A CN 202111167758 A CN202111167758 A CN 202111167758A CN 113917348 A CN113917348 A CN 113917348A
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terminal voltage
soc
value
battery
threshold
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姜聪慧
朱庆林
颜松
李秋影
刘佳辉
高洁鹏
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FAW Jiefang Automotive Co Ltd
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FAW Jiefang Automotive Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • 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
    • G01R31/387—Determining ampere-hour charge capacity or SoC
    • G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • 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]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • 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]
    • G01R31/374—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • 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]
    • G01R31/389—Measuring internal impedance, internal conductance or related variables

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  • General Physics & Mathematics (AREA)
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Abstract

The application relates to a battery SOC correction method, a battery SOC correction device, computer equipment and a storage medium. The method comprises the following steps: acquiring measurement acquisition data and cell state data; determining corresponding battery state parameters based on the mapping relation between the cell state data and the battery state parameters; determining an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculating to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model; determining a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter; and comparing the terminal voltage deviation threshold value with the terminal voltage deviation value to obtain a comparison result, and correcting the SOC of the battery when the comparison result meets a preset SOC correction condition. By adopting the method, the SOC correction precision can be improved.

Description

Battery SOC correction method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of battery technologies, and in particular, to a battery SOC correction method and apparatus, a computer device, and a storage medium.
Background
SOC (State of Charge) estimation is one of the most important functions of a battery management system, and is used for indicating the Charge capacity, remaining mileage, overcharge and overdischarge protection, battery equalization, Charge control and battery health condition prediction of the battery management system. In the prior art, the estimation of a steady-state OCV (Open Circuit Voltage) is performed through an external Circuit characteristic when a battery is in a short-time standing state, and the current SOC is corrected according to the SOC corresponding to the steady-state OCV obtained through estimation.
Disclosure of Invention
In view of the above, it is desirable to provide a battery SOC correction method, apparatus, computer device, and storage medium capable of improving SOC correction accuracy.
A battery SOC correction method, the method comprising:
acquiring measurement acquisition data and cell state data, wherein the measurement acquisition data comprises a current measurement value and a terminal voltage measurement value, and the cell state data comprises an SOC estimation value and a battery temperature;
determining corresponding battery state parameters based on a mapping relation between the battery core state data and the battery state parameters, wherein the battery state parameters comprise battery open-circuit voltage and ohmic internal resistance;
determining an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculating to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model;
determining a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter;
and comparing the terminal voltage deviation threshold with the terminal voltage deviation value to obtain a comparison result, and correcting the SOC of the battery when the comparison result meets a preset SOC correction condition.
A battery SOC correction apparatus, the apparatus comprising a data acquisition module, a parameter determination module, a first calculation module, a second calculation module, and a battery SOC correction module, wherein:
the battery comprises a data acquisition module, a battery state acquisition module and a battery state acquisition module, wherein the data acquisition module is used for acquiring measurement acquisition data and battery state data, the measurement acquisition data comprises a current measurement value and a terminal voltage measurement value, and the battery state data comprises an SOC estimation value and a battery temperature;
the parameter determination module is used for determining corresponding battery state parameters based on a mapping relation between the battery cell state data and the battery state parameters, wherein the battery state parameters comprise battery open-circuit voltage and ohmic internal resistance;
the first calculation module is used for determining an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculating to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model;
the second calculation module is used for determining a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter;
and the battery SOC correction module is used for comparing the terminal voltage deviation threshold with the terminal voltage deviation value to obtain a comparison result, and when the comparison result is determined to meet a preset SOC correction condition, performing battery SOC correction.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring measurement acquisition data and cell state data, wherein the measurement acquisition data comprises a current measurement value and a terminal voltage measurement value, and the cell state data comprises an SOC estimation value and a battery temperature;
determining corresponding battery state parameters based on a mapping relation between the battery core state data and the battery state parameters, wherein the battery state parameters comprise battery open-circuit voltage and ohmic internal resistance;
determining an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculating to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model;
determining a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter;
and comparing the terminal voltage deviation threshold with the terminal voltage deviation value to obtain a comparison result, and correcting the SOC of the battery when the comparison result meets a preset SOC correction condition.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring measurement acquisition data and cell state data, wherein the measurement acquisition data comprises a current measurement value and a terminal voltage measurement value, and the cell state data comprises an SOC estimation value and a battery temperature;
determining corresponding battery state parameters based on a mapping relation between the battery core state data and the battery state parameters, wherein the battery state parameters comprise battery open-circuit voltage and ohmic internal resistance;
determining an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculating to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model;
determining a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter;
and comparing the terminal voltage deviation threshold with the terminal voltage deviation value to obtain a comparison result, and correcting the SOC of the battery when the comparison result meets a preset SOC correction condition.
Compared with the traditional mode, the battery state parameter is obtained on the basis of an off-line mode, influence factors can be reduced, the parameter calibration workload is reduced, and the query efficiency of the battery state parameter is improved. And according to the comparison result between the obtained terminal voltage deviation threshold and the terminal voltage deviation value, judging whether to perform battery SOC correction or not so as to ensure the adaptive correction effect on SOC estimation deviation, improve SOC estimation precision and avoid obvious deviation between calibration parameters and the characteristics expressed by the actual operation of the battery due to the nonlinear characteristics of the battery such as charging and discharging hysteresis characteristics.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a method for correcting SOC of a battery;
FIG. 2 is a schematic flow chart illustrating a method for correcting battery SOC according to one embodiment;
FIG. 3 is a time-domain variation curve of the actual SOC and the estimated SOC at and before the time of triggering in one embodiment;
FIG. 4 is a schematic overall flowchart of a battery SOC correction method according to an embodiment;
FIG. 5 is a block diagram showing the structure of a battery SOC correction apparatus according to an embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
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 battery SOC correction method provided by the application can be applied to the application environment shown in FIG. 1. The terminal has a battery management system 102 and a processor 104 disposed therein. The battery management system 102 collects measurement collection data and transmits the measurement collection data to the processor 104; the processor 104 acquires measurement acquisition data and cell state data, wherein the measurement acquisition data comprises a current measurement value and a terminal voltage measurement value, and the cell state data comprises an SOC estimation value and a battery temperature; the processor 104 determines corresponding battery state parameters based on a mapping relation between the cell state data and the battery state parameters, wherein the battery state parameters include battery open-circuit voltage and ohmic internal resistance; the processor 104 determines an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculates to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model; the processor 104 determines a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter; the processor 104 compares the terminal voltage deviation threshold value with the terminal voltage deviation value to obtain a comparison result, and performs battery SOC correction when the comparison result is determined to satisfy a preset SOC correction condition.
In another application scenario, the terminal may interact with another terminal, for example, the terminal may transmit measurement acquisition data and cell state data acquired by the battery management system to another terminal, so as to execute a battery SOC correction method through the other terminal, and when it is determined that the SOC correction condition is satisfied, the terminal is triggered to perform battery SOC correction.
The battery management system comprises various current measuring elements for measuring current and terminal voltage measuring elements for measuring terminal voltage. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, portable wearable devices and vehicle-mounted terminals, and the server can be implemented by an independent server or a server cluster formed by a plurality of servers.
It should be noted that the above-mentioned application scenarios are used for explaining the present application, and the application scenarios in the present application include, but are not limited to, the above-mentioned scenarios.
In one embodiment, as shown in fig. 2, a battery SOC correction method is provided, which is exemplified by the application of the method to the processor in fig. 1, and includes the following steps:
step S202, measurement acquisition data and cell state data are obtained, wherein the measurement acquisition data comprise a current measurement value and a terminal voltage measurement value, and the cell state data comprise an SOC estimation value and a battery temperature.
The current measurement value is measured by a current measurement element in the battery management system, and the terminal voltage measurement value is measured by a terminal voltage measurement element in the battery management system. The cell refers to a unit constituting the battery pack. In one embodiment, if N cells are used in series, the total measured current will be equal to the cell current. In one embodiment, if M cells are connected in parallel, or after N cells are connected in series, they are connected in parallel to form M cells, then the total measured current will be equal to M multiplied by the cell current.
Specifically, the terminal determines the electric core state data according to a data credibility condition, which needs to be described that the data credibility condition refers to: the parameters of terminal voltage, temperature and the like output by the battery cell are in a reasonable physical value range. In one embodiment, the battery state parameters include an SOC estimate and a battery temperature. Subsequently, the circuit open-circuit voltage and ohmic internal resistance will be determined based on the SOC estimate and the battery temperature.
In one embodiment, the terminal may be a vehicle-mounted terminal, and in an application scenario, the terminal interacts with the battery management system to obtain measurement acquisition data, and then executes a battery SOC correction method based on the measurement acquisition data, and performs battery SOC correction when it is determined that an SOC correction condition is satisfied.
Step S204, determining corresponding battery state parameters based on the mapping relation between the cell state data and the battery state parameters, wherein the battery state parameters comprise battery open-circuit voltage and ohmic internal resistance.
The battery open-circuit voltage represents a static characteristic of the battery, which is a basic characteristic of the battery, and generally has a mapping relationship with a monotonic positive correlation with the SOC. The ohmic internal resistance is a physical characteristic value of the battery, and the ohmic internal resistance of the current state can be obtained according to the battery temperature and the SOC in actual use.
Specifically, under the condition that the SOC estimation value is known, the terminal obtains the required battery open-circuit voltage by looking up a table according to the mapping relationship between the battery open-circuit voltage and the SOC estimation value, with the SOC estimation value as a query condition, and with all data included in a preset SOC-OCV mapping sequence table as a query range. The ohmic internal resistance may be obtained by referring to the above-described search method and further searching from a relation table of the temperature and the SOC of the internal battery, which will not be described in detail in the embodiments of the present application.
In one embodiment, the SOC-OCV mapping sequence table may be in the form of: [ OCV1,OCV2,…,OCVn]、[SOC1,SOC2,…,SOCn](ii) a Wherein the OCV1(i.e., open circuit voltage) mapping to SOC1，OCV2Mapping to SOC2，OCVnMapping to SOCn. Illustratively, where the SOC estimate is known as SOC2In the process, by looking up a table, when the mapping relation between the battery open-circuit voltage and the SOC estimation value is known, the required battery open-circuit voltage, namely the OCV, can be further obtained by inquiring from the SOC-OCV mapping sequence table2。
In one embodiment, the internal battery temperature and SOC relationship table may be in the form of: t ═ T1，T2，……，Ta]，SOC＝[SOC1，SOC2，……，SOCb]Corresponding ohmic internal resistance sequence R0＝[R0_11，R0_12，……，R0_1a；R0_21，R0_22，……，R0_2a；……；R0_b1，R0_b2，……，R0_ba]Wherein the battery temperature T1And SOC1Mapping to ohm internal resistance sequence R0R in (1)0_11Temperature T of batterynAnd SOCnMapping to ohm internal resistance sequence R0R in (1)0_nn. In practical use, the terminal can perform linear interpolation based on the battery temperature and the SOC estimated value to obtain the ohmic internal resistance of the current state. Illustratively, at a known battery temperature T1SOC estimation valueIs SOC2At this time, based on the ohmic internal resistance sequence R0, the obtained result is R through table lookup0_12R is0_12The ohmic internal resistance is obtained.
Thus, the required battery state parameters can be inquired through table lookup based on the mapping relation between the battery open-circuit voltage and the SOC estimation value and the three-dimensional mapping relation between the ohmic internal resistance, the battery temperature and the SOC. Therefore, the query efficiency of the battery state parameters is further improved, and the calculation process is accelerated.
And step S206, determining an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculating to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model.
The equivalent circuit model represents the relationship between the characteristic parameters of the battery and the external characteristic parameters. The terminal voltage deviation value is a difference value between a terminal voltage estimated value and a terminal voltage measured value output through the equivalent circuit model determined in the application.
Specifically, the equivalent circuit model is a first-order equivalent circuit model of the battery, which is also called a donovan model. In general, the calculation of the terminal voltage deviation value is performed according to the difference between the open-circuit voltage of the battery, the polarization voltage, and the voltages at two ends of the ohmic internal resistance, and the specific form of the difference calculation formula is not limited in the embodiment of the present application. It should be noted that, on the one hand, the polarization voltage disclosed in the present embodiment is a superposition of a zero-state response and a zero-input response; on the other hand, the equivalent circuit model disclosed in this embodiment includes a linear resistor single-port network of an independent power supply, and as for the port characteristics, the equivalent circuit model can be equivalent to a single-port network in which a voltage source and a resistor are connected in series. The voltage of the voltage source is equal to the voltage of the single-port network when the load is open, and the resistance is the equivalent resistance of the single-port network obtained when all independent power supplies in the single-port network are zero.
And step S208, determining a terminal voltage deviation threshold according to a preset SOC threshold range and the battery state parameters.
Wherein, the terminal voltage deviation threshold value refers to the current terminal voltage threshold valueTerminal voltage measurements, the determined difference. The terminal voltage threshold refers to a terminal voltage value mapped with a set SOC threshold range obtained according to an equivalent circuit model disclosed in the embodiment of the application, and the terminal voltage value includes a terminal voltage upper limit Ut_upAnd terminal voltage lower limit Ut_low。
Specifically, the terminal determines an SOC threshold range according to the SOC estimation precision to be reached, wherein the SOC threshold range is an SOC upper limit SOC which is correspondingly reachedupAnd SOC lower limit SOClowThe determined SOC band. Therein, SOCupAnd SOClowThe current determined SOC estimate may be further derived by deviating upwardly or downwardly by a certain range, with reference to the current determined SOC estimate. In one embodiment, the SOC estimation accuracy is p% (in the embodiment of the present application, the value of p is not limited), and the range deviating upwards or downwards is generally equal to or slightly larger than the SOC estimation accuracy.
Based on the above embodiment, when the terminal performs the terminal voltage upper limit calculation, the determined SOC upper limit SOC is determinedupBrought into equivalent circuit model and based on SOCupObtaining the corresponding terminal voltage upper limit U according to the mapping relation between the terminal voltage and the terminal voltaget_up. Wherein, the lower limit of terminal voltage Ut_lowThe calculation can be performed in the above manner, and this will not be described in detail in the embodiments of the present application. And then, under the condition that the terminal voltage threshold value and the current terminal voltage measured value are known by the terminal, performing difference calculation on the terminal voltage threshold value and the current terminal voltage measured value to determine a terminal voltage deviation threshold value. For example, the terminal has an upper limit U at a known terminal voltaget_upAnd a current terminal voltage measurement value Ut_measMay be based on the formula: delta Ut_thres＝Ut_up-Ut_measDetermining a terminal voltage deviation threshold value DeltaUt_thres. Or, the terminal has a known terminal voltage lower limit Ut_lowAnd a current terminal voltage measurement value Ut_measIn the case of (2), it is also possible to: delta Ut_thres＝Ut_meas-Ut_lowDetermining a terminal voltage deviation threshold value DeltaUt_thres。
And step S210, comparing the terminal voltage deviation threshold value with the terminal voltage deviation value to obtain a comparison result, and correcting the SOC of the battery when the comparison result meets a preset SOC correction condition.
Specifically, the terminal judges whether rapid correction is required or not according to a comparison result between the terminal voltage deviation threshold and the terminal voltage deviation value. It should be noted that, specifically, the determination result is obtained by determining whether the terminal voltage deviation value is within the terminal voltage deviation threshold range. For example, upon determining that the terminal voltage deviation value is less than or equal to the terminal voltage deviation threshold, the SOC deviation is considered to be within an acceptable range and no rapid correction is currently required. For another example, when the terminal voltage deviation value is determined to be greater than the terminal voltage deviation threshold value, the SOC deviation is considered to meet the SOC quick correction condition, and the SOC quick correction is currently required.
In one embodiment, the terminal can realize rapid correction of the SOC based on Kalman gain. Referring to fig. 3, based on fig. 3, when the SOC estimation value is outside the SOC threshold range, the SOC fast correction function is triggered by comparing the terminal voltage deviation value with the terminal voltage deviation threshold, and at this time, the kalman gain is increased from Kgain to n × Kgain. It should be noted that the parameter n may be dynamically adjusted between 10 and 100, and may specifically be selected according to different requirements for the correction speed; the value of the parameter n is positively correlated with the correction speed of the SOC, and the larger the value of n is, the faster the corresponding correction speed of the SOC is. As can be seen from fig. 3, the terminal stops the correction when determining that the SOC estimation value reaches the SOC threshold range.
In the battery SOC correction method, the battery state parameters are determined based on the mapping relation between the cell state data and the battery state parameters, and compared with the traditional mode in which the battery state parameters are obtained based on an off-line mode, the influence factors can be reduced, the parameter calibration workload is reduced, and the query efficiency of the battery state parameters is improved. And according to the comparison result between the obtained terminal voltage deviation threshold and the terminal voltage deviation value, judging whether to perform battery SOC correction or not so as to ensure the adaptive correction effect on SOC estimation deviation, improve SOC estimation precision and avoid obvious deviation between calibration parameters and the characteristics expressed by the actual operation of the battery due to the nonlinear characteristics of the battery such as charging and discharging hysteresis characteristics.
In one embodiment, determining the corresponding battery state parameter based on the mapping relationship between the cell state data and the battery state parameter includes: taking the SOC estimation value as a first mapping object, and acquiring a first mapping relation between the first mapping object and the open-circuit voltage; based on a preset SOC-open circuit voltage mapping table, searching and obtaining corresponding open circuit voltage from the SOC-open circuit voltage mapping table by taking the first mapping object and the first mapping relation as search conditions; taking the SOC estimation value and the battery temperature as a second mapping object, and acquiring a second mapping relation between the second mapping object and the ohmic internal resistance; and searching and obtaining the corresponding ohmic internal resistance from the SOC-ohmic internal resistance mapping table by taking the second mapping object and the second mapping relation as search conditions based on a preset SOC-ohmic internal resistance mapping table.
Specifically, the terminal queries the required open-circuit voltage and ohmic internal resistance from the corresponding mapping table in a table lookup manner based on a first mapping relationship between the open-circuit voltage and the SOC estimation value and a second mapping relationship between the SOC estimation value, the battery temperature and the ohmic internal resistance under the condition that the corresponding SOC-open-circuit voltage mapping table and the SOC-ohmic internal resistance mapping table are known. In the foregoing embodiment, the expression forms of the SOC-open circuit voltage mapping table and the SOC-ohmic internal resistance mapping table, and the query of the target parameter based on which table lookup manner have been described in detail, which is not described in more detail in the embodiment of the present application.
In the above embodiment, based on the first mapping relationship between the battery open-circuit voltage and the SOC estimation value and the second mapping relationship between the ohmic internal resistance, the battery temperature and the SOC, when the corresponding mapping table is known, the required battery state parameter can be quickly queried by looking up the table. Therefore, the query efficiency of the battery state parameters is further improved, and the calculation process is accelerated.
In one embodiment, determining the equivalent circuit model based on the battery state parameters and the measurement collected data comprises: according to the battery state parameters and the measurement acquisition data, determining an equivalent circuit model by the following formula (1):
Ut_est＝OCV-Up-I*R0； (1)
wherein OCV represents open circuit voltage, UpRepresenting the polarization voltage determined by superimposing a zero state response and a zero input response, I representing the current measurement, R0Indicating ohmic internal resistance, Ut_estRepresenting a terminal voltage estimate; and calculating to obtain a corresponding terminal voltage deviation value according to the deviation between the terminal voltage estimated value and the terminal voltage measured value.
Specifically, the terminal firstly constructs an equivalent circuit model based on thevenin theorem, and the calculation form of the equivalent circuit model is shown in formula (1). It should be noted that the thevenin theorem is also called an equivalent voltage source law, and the contents thereof are as follows: both ends of a linear network comprising a separate voltage source, a separate current source and a resistor are electrically equivalent in terms of their external form by a combination of a separate voltage source and a series resistor which relaxes the two-terminal network. In a single frequency ac system, this theorem applies not only to resistors, but also to generalized impedances. Then, the terminal determines the open-circuit voltage OCV and the ohmic internal resistance R which are required to be brought into the formula (1) based on the mapping relation between the cell state data and the battery state parameters0. The parameter I specifically refers to a current value measured in real time by a corresponding current measuring element, and under the condition that the current measuring element normally works, I can be obtained smoothly and is brought into the formula (1). In the specification, "I R0"the voltage value across the ohmic internal resistance is calculated. U shapepIs a battery characteristic parameter in the equivalent circuit model, and in the equivalent circuit model, a voltage of a resistor connected in parallel with a capacitor is generally used for equivalence.
In one embodiment, after the terminal knows the corresponding calculation parameters (such as open-circuit voltage, polarization voltage, ohmic internal resistance, etc.), the terminal brings the determined calculation parameters into formula (1) to perform difference calculation, so as to further obtain the required terminal voltage deviation value.
In the embodiment, the equivalent circuit model is constructed based on thevenin theorem, the multi-power-supply multi-loop complex direct-current circuit analysis can be performed, and proper selection of thevenin theorem can greatly simplify the circuit and improve the analysis efficiency.
In one embodiment, determining the terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter includes: determining an SOC upper limit threshold and an SOC lower limit threshold according to the SOC threshold range; acquiring a third mapping relation between the SOC upper limit threshold and the corresponding terminal voltage upper limit, and searching and acquiring the corresponding terminal voltage upper limit from the SOC-terminal voltage mapping table by taking the SOC upper limit threshold and the third mapping relation as search conditions according to a preset SOC-terminal voltage mapping table; acquiring a fourth mapping relation between the SOC lower limit threshold and the corresponding terminal voltage lower limit, and searching and acquiring the corresponding terminal voltage lower limit from the SOC-terminal voltage mapping table by taking the SOC lower limit threshold and the fourth mapping relation as search conditions according to a preset SOC-terminal voltage mapping table; and determining a terminal voltage deviation threshold according to the terminal voltage upper limit value, the terminal voltage lower limit value and the battery state parameter.
Specifically, in the first aspect, the preset SOC threshold range is an SOC upper threshold SOC set by the terminal according to the estimated SOC accuracy to be achievedupAnd SOC lower threshold value SOClowThe result is further determined. Wherein, the SOC is estimated according to the current SOC estimation value0For the reference, by deviating upward or downward by a certain range, an SOC band, which is the aforementioned SOC threshold range, can be constituted.
Specifically, the second aspect is to say that the upper limit threshold SOC is determined based on the determined SOCupAnd SOC lower threshold value SOClowThe corresponding upper limit value U of the terminal voltage is obtained by inquiring from the corresponding mapping table in a table look-up modet_upAnd terminal voltage lower limit value Ut_lowIn case of (3), corresponding in will Ut_upAs the open-circuit voltage OCV in equation (1) and other corresponding calculation parameters are known (e.g., current measurement I, ohmic internal resistance R0And a polarization voltage Up) In the case ofNext, a corresponding terminal voltage upper limit threshold may be obtained, where the terminal voltage lower limit threshold may also be further obtained in the above manner, and this embodiment of the present application will not be described in detail. And then, the terminal further determines a terminal voltage deviation threshold value by combining the obtained terminal voltage upper limit threshold value and the obtained terminal voltage lower limit threshold value.
In one embodiment, the range of the above-mentioned upward or downward deviation is generally equal to or slightly greater than the SOC estimation accuracy. In a specific embodiment, the SOC reference value SOC is known at the terminal0SOC estimation accuracy p%, and "transition band" Δ SOC increased on the basis of the SOC estimation accuracy, by the formula: SOCup＝SOC0+ p% + Δ SOC, and, SOClow＝SOC0-p% - Δ SOC, i.e. the upper threshold SOC value SOC can be further determinedupAnd SOC lower threshold value SOClow. Note that p% is usually 5%, Δ SOC is set to prevent false triggering of the quick correction function, and in the present embodiment, Δ SOC is 0.5 × p% to 2.5%.
In the above embodiment, when setting the SOC upper limit threshold and the SOC lower limit threshold, the "transition zone" is added with reference to the SOC reference value, thereby avoiding false triggering of rapid correction, improving the SOC correction accuracy, and avoiding unnecessary correction processing.
In one embodiment, determining the terminal voltage deviation threshold from the terminal voltage upper limit value, the terminal voltage lower limit value, and the battery state parameter includes: respectively taking the upper limit value and the lower limit value of the terminal voltage as open-circuit voltages in an equivalent circuit model, and calculating to obtain an upper limit threshold value of the terminal voltage corresponding to the upper limit value and a lower limit threshold value of the terminal voltage corresponding to the lower limit value of the terminal voltage on the basis of the equivalent circuit model under the condition that polarization voltage, ohmic internal resistance and current measurement values are known; and determining the terminal voltage deviation threshold according to a first difference value between the terminal voltage upper limit threshold and the terminal voltage measurement value or a second difference value between the terminal voltage lower limit threshold and the terminal voltage measurement value.
Specifically, the terminal uses the obtained upper limit value of the terminal voltage as an open-circuit voltage in the equivalent circuit model, and calculates an upper limit threshold value of the terminal voltage corresponding to the upper limit value of the terminal voltage under the condition that other calculation parameters (such as polarization voltage) are known; the terminal voltage lower limit threshold may be further obtained based on the above embodiments, which is not limited in the embodiments of the present application. Since the terminal voltage deviation threshold is obtained according to the difference between the terminal voltage limit and the terminal voltage measured value, the terminal voltage deviation threshold can be further obtained by performing difference calculation on the terminal voltage upper limit and the terminal voltage measured value under the condition that the terminal voltage upper limit is known, or the terminal voltage lower limit and the terminal voltage measured value under the condition that the terminal voltage lower limit is known.
In one embodiment, the terminal can calculate the terminal voltage deviation threshold based on the following formula:
ΔUt_thres＝Ut_up-Ut_meas；
or Delta Ut_thres＝Ut_meas-Ut_low；
Wherein, Delta Ut_thresFor the corresponding calculated terminal voltage deviation threshold, Ut_upIs the end voltage upper limit value, Ut_lowTerminal voltage lower limit, Ut_measIs a terminal voltage measurement. Of course, the present embodiment is not limited to the calculation of the terminal voltage deviation threshold value by the above formula, and for example, the calculation amount (for example, the terminal voltage upper limit value U) may be set for each calculation amountt_up) And attaching a specified weighting coefficient, and further obtaining the weight through a weighting calculation mode.
In the embodiment, the difference between the terminal voltage estimated by the equivalent circuit model and the terminal voltage tested is compared, so that the SOC deviation is quickly corrected, and the correction efficiency is improved.
In one embodiment, comparing the terminal voltage deviation threshold value with the terminal voltage deviation value to obtain a comparison result, and when the comparison result is determined to meet a preset SOC correction condition, performing SOC correction, including: comparing the terminal voltage deviation threshold value with the terminal voltage deviation value, and judging that the current first comparison result does not meet a preset SOC correction condition when the terminal voltage deviation threshold value is determined to be larger than or equal to the terminal voltage deviation value on the basis of the obtained comparison result; and when the terminal voltage deviation threshold is determined to be smaller than the terminal voltage deviation value, determining that the current second comparison result meets a preset SOC correction condition, and performing SOC correction in a preset SOC correction mode.
Specifically, when the terminal performs SOC correction, the terminal specifically compares the terminal voltage deviation threshold value with the terminal voltage deviation value, for example, the terminal will be based on the following comparison formula: | Δ Ut|≤|ΔUt_thresL, |; wherein, Delta UtIs the value of terminal voltage deviation, Δ Ut_thresIs the terminal voltage deviation threshold. In determining terminal voltage deviation threshold value delta Ut_thresGreater than or equal to terminal voltage deviation value delta UtWhen the SOC needs to be corrected, the SOC meets the quick correction condition at present. For another example, the terminal will be based on the following comparison formula: | Δ Ut|>|ΔUt_thresDetermining the terminal voltage deviation value delta UtGreater than terminal voltage deviation threshold value delta Ut_thresWhen the current SOC deviation is considered to be within the acceptable range, no correction is needed.
In one embodiment, the terminal can also judge through the time that the terminal voltage deviation is outside the terminal voltage deviation threshold, and when the time is determined to be greater than a preset time threshold, the terminal considers that the SOC quick correction condition is currently met, and the SOC correction function is further triggered. Of course, in the present embodiment, the above-mentioned time determination manner may also be constrained by other equivalent or similar conditions, and this is not limited in the embodiment of the present application.
In the above embodiment, whether the SOC quick correction condition is currently satisfied is determined based on the comparison result between the terminal voltage deviation threshold and the terminal voltage deviation value, so that the purpose of correcting the SOC in time can be achieved, the correction accuracy is improved, and the higher SOC estimation accuracy is ensured.
In one embodiment, the SOC correction method includes a kalman gain increase method, and the SOC correction is performed by a preset SOC correction method, including: increasing Kalman gain according to a preset adjustment value to realize synchronous change of the SOC estimation value; according to the SOC estimation updating value obtained by synchronous change, updating calculation of the terminal voltage deviation threshold value and the terminal voltage deviation value is carried out; and returning to the step of increasing the Kalman gain according to a preset regulation value to continue executing when the terminal voltage deviation threshold value and the terminal voltage deviation value which are obtained by updating are determined to reach the preset SOC correction condition, and stopping SOC correction when the SOC estimation updating value obtained by corresponding synchronous change is determined to be in the SOC threshold value range.
Specifically, when the terminal determines that the SOC estimation value is out of the SOC threshold range, whether the SOC quick correction function needs to be triggered is judged through comparison between the terminal voltage difference value and the terminal voltage deviation threshold value based on an obtained comparison result, wherein under the condition that the terminal determines that the terminal voltage difference value is larger than the terminal voltage deviation threshold value, the terminal considers that correction is currently needed, and at the moment, the terminal increases a Kalman gain mode to perform SOC correction. Specifically, during the correction, the terminal may increase the kalman gain by n times based on the original initial gain value "Kgain" so that the adjusted gain value is "n × Kgain". The expansion parameter n is positively correlated with the speed of SOC correction, and is specifically represented as: when the value of n is larger, the corresponding SOC correction speed is faster, that is, when the effect of quick correction needs to be achieved, the value of n can be properly adjusted to meet the correction requirement.
In one embodiment, the terminal determines that the terminal voltage difference is less than or equal to the terminal voltage deviation threshold, and then considers that no correction is needed currently, namely that the deviation of the SOC is within an acceptable range. In the continuous adjustment process, when the terminal determines that the SOC estimation value reaches the preset SOC threshold range, the correction is stopped.
In the above embodiment, SOC correction is performed by increasing kalman gain, and different correction requirements can be adapted by adjusting the expansion parameter, thereby improving correction efficiency.
Referring to fig. 4, the method for correcting SOC of a battery provided by the present application includes the following steps:
(1) and acquiring cell state data meeting the data credibility condition, namely acquiring an SOC estimated value and the battery temperature T.
(2) According to the cell state data, a first mapping relation between the known SOC estimation value and the open-circuit voltage OCV and the known ohmic internal resistance R0Determining open circuit voltage OCV and ohmic internal resistance R by looking up table or calculation under the condition of second mapping relation between SOC estimated value and battery temperature T0。
(3) Open-circuit voltage OCV and ohmic internal resistance R obtained based on the steps according to the cell state data0Equivalent circuit model and pre-measured terminal voltage measured value Ut_measerDetermining estimated value and deviation value delta U of terminal voltaget。
(4) Obtaining a SOC threshold (i.e., SOC)+、SOC-) And cell state data, determining a cell terminal voltage threshold
Figure BDA0003286939840000141
And terminal voltage deviation threshold
Figure BDA0003286939840000142
(5) And judging whether to need rapid correction or not according to the comparison of the terminal voltage deviation value and the terminal voltage deviation threshold value.
(6) If yes, increasing Kalman gain, and K being K1The SOC is quickly corrected; if not, keeping the current Kalman gain unchanged, and stopping and finishing the correction when determining that the SOC estimation value reaches the SOC threshold range.
According to the battery SOC correction method, the difference between the terminal voltage estimated by the equivalent circuit model and the test terminal voltage can be compared, the quick correction of the SOC deviation can be realized, and the higher SOC estimation precision can be ensured.
It should be understood that although the steps in the flowcharts of fig. 2 and 4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2 and 4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 5, there is provided a battery SOC correction apparatus 500, the apparatus 500 including a data acquisition module 501, a parameter determination module 502, a first calculation module 503, a second calculation module 504, and a battery SOC correction module 505, wherein:
the data acquiring module 501 is configured to acquire measurement acquisition data and cell state data, where the measurement acquisition data includes a current measurement value and a terminal voltage measurement value, and the cell state data includes an SOC estimation value and a battery temperature.
The parameter determining module 502 is configured to determine corresponding battery state parameters based on a mapping relationship between the cell state data and the battery state parameters, where the battery state parameters include a battery open-circuit voltage and an ohmic internal resistance.
The first calculating module 503 is configured to determine an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculate to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model.
The second calculating module 504 is configured to determine a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter.
And the battery SOC correction module 505 is configured to compare the terminal voltage deviation threshold with the terminal voltage deviation value to obtain a comparison result, and perform battery SOC correction when the comparison result meets a preset SOC correction condition.
In one embodiment, the parameter determining module 502 is further configured to use the SOC estimation value as a first mapping object, and obtain a first mapping relationship between the first mapping object and the open-circuit voltage; based on a preset SOC-open circuit voltage mapping table, searching and obtaining corresponding open circuit voltage from the SOC-open circuit voltage mapping table by taking the first mapping object and the first mapping relation as search conditions; taking the SOC estimation value and the battery temperature as a second mapping object, and acquiring a second mapping relation between the second mapping object and the ohmic internal resistance; and searching and obtaining the corresponding ohmic internal resistance from the SOC-ohmic internal resistance mapping table by taking the second mapping object and the second mapping relation as search conditions based on a preset SOC-ohmic internal resistance mapping table.
In one embodiment, the first calculating module 503 is further configured to determine the equivalent circuit model according to the battery state parameter and the measurement collection data by the following formula (1):
Ut_est＝OCV-Up-I*R0； (1)
wherein OCV represents open circuit voltage, UpRepresenting the polarization voltage determined by superimposing a zero state response and a zero input response, I representing the current measurement, R0Indicating ohmic internal resistance, Ut_estRepresenting a terminal voltage estimate; and calculating to obtain a corresponding terminal voltage deviation value according to the deviation between the terminal voltage estimated value and the terminal voltage measured value.
In one embodiment, the second calculation module 504 is further configured to determine an upper SOC threshold and a lower SOC threshold according to the SOC threshold range; acquiring a third mapping relation between the SOC upper limit threshold and the corresponding terminal voltage upper limit, and searching and acquiring the corresponding terminal voltage upper limit from the SOC-terminal voltage mapping table by taking the SOC upper limit threshold and the third mapping relation as search conditions according to a preset SOC-terminal voltage mapping table; acquiring a fourth mapping relation between the SOC lower limit threshold and the corresponding terminal voltage lower limit, and searching and acquiring the corresponding terminal voltage lower limit from the SOC-terminal voltage mapping table by taking the SOC lower limit threshold and the fourth mapping relation as search conditions according to a preset SOC-terminal voltage mapping table; and determining a terminal voltage deviation threshold according to the terminal voltage upper limit value, the terminal voltage lower limit value and the battery state parameter.
In one embodiment, the second calculating module 504 is further configured to use the terminal voltage upper limit value and the terminal voltage lower limit value as open-circuit voltages in an equivalent circuit model, and calculate, based on the equivalent circuit model, a terminal voltage upper limit threshold corresponding to the terminal voltage upper limit value and a terminal voltage lower limit threshold corresponding to the terminal voltage lower limit value under the condition that the polarization voltage, the ohmic internal resistance, and the current measurement value are known; and determining the terminal voltage deviation threshold according to a first difference value between the terminal voltage upper limit threshold and the terminal voltage measurement value or a second difference value between the terminal voltage lower limit threshold and the terminal voltage measurement value.
In one embodiment, the battery SOC correction module 505 is further configured to compare the terminal voltage deviation threshold with the terminal voltage deviation value, and determine, based on the obtained comparison result, that the current first comparison result does not satisfy the preset SOC correction condition when the terminal voltage deviation threshold is determined to be greater than or equal to the terminal voltage deviation value; and when the terminal voltage deviation threshold is determined to be smaller than the terminal voltage deviation value, determining that the current second comparison result meets a preset SOC correction condition, and performing SOC correction in a preset SOC correction mode.
In one embodiment, the battery SOC correction module 505 is further configured to increase a kalman gain according to a preset adjustment value to achieve a synchronous change of the SOC estimation value; according to the SOC estimation updating value obtained by synchronous change, updating calculation of the terminal voltage deviation threshold value and the terminal voltage deviation value is carried out; and returning to the step of increasing the Kalman gain according to a preset regulation value to continue executing when the terminal voltage deviation threshold value and the terminal voltage deviation value which are obtained by updating are determined to reach the preset SOC correction condition, and stopping SOC correction when the SOC estimation updating value obtained by corresponding synchronous change is determined to be in the SOC threshold value range.
According to the battery SOC correction device, the battery state parameters are determined based on the mapping relation between the cell state data and the battery state parameters, and compared with the traditional mode, the battery state parameters are obtained based on an off-line mode, influence factors can be reduced, the parameter calibration workload is reduced, and the query efficiency of the battery state parameters is improved. And according to the comparison result between the obtained terminal voltage deviation threshold and the terminal voltage deviation value, judging whether to perform battery SOC correction or not so as to ensure the adaptive correction effect on SOC estimation deviation, improve SOC estimation precision and avoid obvious deviation between calibration parameters and the characteristics expressed by the actual operation of the battery due to the nonlinear characteristics of the battery such as charging and discharging hysteresis characteristics.
For specific limitations of the battery SOC correction device, reference may be made to the above limitations of the battery SOC correction method, which are not described herein again. Each module in the above battery SOC correction apparatus may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the terminal, and can also be stored in a memory in the terminal in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a battery SOC correction method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.
According to the computer equipment, the battery state parameters are determined based on the mapping relation between the cell state data and the battery state parameters, and compared with the traditional mode in which the battery state parameters are obtained based on an off-line mode, the influence factors can be reduced, the parameter calibration workload is reduced, and the query efficiency of the battery state parameters is improved. And according to the comparison result between the obtained terminal voltage deviation threshold and the terminal voltage deviation value, judging whether to perform battery SOC correction or not so as to ensure the adaptive correction effect on SOC estimation deviation, improve SOC estimation precision and avoid obvious deviation between calibration parameters and the characteristics expressed by the actual operation of the battery due to the nonlinear characteristics of the battery such as charging and discharging hysteresis characteristics.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
The storage medium determines the battery state parameters based on the mapping relation between the cell state data and the battery state parameters, and compared with the traditional mode in which the battery state parameters are acquired based on an off-line mode, the storage medium can reduce influence factors, reduce the workload of parameter calibration and improve the query efficiency of the battery state parameters. And according to the comparison result between the obtained terminal voltage deviation threshold and the terminal voltage deviation value, judging whether to perform battery SOC correction or not so as to ensure the adaptive correction effect on SOC estimation deviation, improve SOC estimation precision and avoid obvious deviation between calibration parameters and the characteristics expressed by the actual operation of the battery due to the nonlinear characteristics of the battery such as charging and discharging hysteresis characteristics.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A battery SOC correction method, characterized by comprising:
acquiring measurement acquisition data and cell state data, wherein the measurement acquisition data comprises a current measurement value and a terminal voltage measurement value, and the cell state data comprises an SOC estimation value and a battery temperature;
determining corresponding battery state parameters based on a mapping relation between the battery core state data and the battery state parameters, wherein the battery state parameters comprise battery open-circuit voltage and ohmic internal resistance;
determining an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculating to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model;
determining a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter;
and comparing the terminal voltage deviation threshold with the terminal voltage deviation value to obtain a comparison result, and correcting the SOC of the battery when the comparison result meets a preset SOC correction condition.
2. The method of claim 1, wherein determining the corresponding battery state parameter based on the mapping relationship between the cell state data and the battery state parameter comprises:
taking the SOC estimation value as a first mapping object, and acquiring a first mapping relation between the first mapping object and an open-circuit voltage;
based on a preset SOC-open circuit voltage mapping table, searching and obtaining corresponding open circuit voltage from the SOC-open circuit voltage mapping table by taking the first mapping object and the first mapping relation as search conditions;
taking the SOC estimated value and the battery temperature as a second mapping object, and acquiring a second mapping relation between the second mapping object and the ohmic internal resistance;
and searching and obtaining corresponding ohmic internal resistance from the SOC-ohmic internal resistance mapping table by taking the second mapping object and the second mapping relation as search conditions based on a preset SOC-ohmic internal resistance mapping table.
3. The method of claim 1, wherein determining an equivalent circuit model based on the battery state parameters and the measurement collected data comprises:
according to the battery state parameters and the measurement acquisition data, determining an equivalent circuit model by the following formula (1):
Ut_est＝OCV-Up-I*R0； (1)
wherein OCV represents open circuit voltage, UpRepresenting the polarization voltage determined by superimposing a zero state response and a zero input response, I representing the current measurement, R0Indicating ohmic internal resistance, Ut_estRepresenting a terminal voltage estimate;
and calculating to obtain a corresponding terminal voltage deviation value according to the deviation between the terminal voltage estimated value and the terminal voltage measured value.
4. The method of claim 1, wherein determining the terminal voltage deviation threshold based on a predetermined SOC threshold range and a battery state parameter comprises:
determining an SOC upper limit threshold and an SOC lower limit threshold according to the SOC threshold range;
acquiring a third mapping relation between the SOC upper limit threshold and a corresponding terminal voltage upper limit, and searching to obtain the corresponding terminal voltage upper limit from the SOC-terminal voltage mapping table by taking the SOC upper limit threshold and the third mapping relation as search conditions according to a preset SOC-terminal voltage mapping table;
acquiring a fourth mapping relation between the SOC lower limit threshold and a corresponding terminal voltage lower limit, and searching to obtain a corresponding terminal voltage lower limit from the SOC-terminal voltage mapping table by taking the SOC lower limit threshold and the fourth mapping relation as search conditions according to a preset SOC-terminal voltage mapping table;
and determining a terminal voltage deviation threshold according to the terminal voltage upper limit value, the terminal voltage lower limit value and the battery state parameter.
5. The method of claim 4, wherein determining a terminal voltage deviation threshold based on the terminal voltage upper limit, the terminal voltage lower limit, and the battery state parameter comprises:
respectively taking the terminal voltage upper limit value and the terminal voltage lower limit value as open-circuit voltages in the equivalent circuit model, and calculating to obtain a terminal voltage upper limit threshold corresponding to the terminal voltage upper limit value and a terminal voltage lower limit threshold corresponding to the terminal voltage lower limit value on the basis of the equivalent circuit model under the condition that polarization voltages, ohmic internal resistances and current measurement values are known;
and determining a terminal voltage deviation threshold according to a first difference value between the terminal voltage upper limit threshold and the terminal voltage measurement value, or a second difference value between the terminal voltage lower limit threshold and the terminal voltage measurement value.
6. The method according to any one of claims 1 to 5, wherein the comparing the terminal voltage deviation threshold value with the terminal voltage deviation value results in a comparison result, and when the comparison result is determined to satisfy a preset SOC correction condition, performing SOC correction includes:
comparing the terminal voltage deviation threshold value with the terminal voltage deviation value, and judging that the current first comparison result does not meet a preset SOC correction condition when the terminal voltage deviation threshold value is determined to be larger than or equal to the terminal voltage deviation value on the basis of the obtained comparison result;
and when the terminal voltage deviation threshold is determined to be smaller than the terminal voltage deviation value, determining that the current second comparison result meets a preset SOC correction condition, and performing SOC correction in a preset SOC correction mode.
7. The method of claim 6, wherein the SOC correction mode comprises an increase kalman gain mode, and the performing SOC correction through a preset SOC correction mode comprises:
increasing Kalman gain according to a preset adjustment value to realize synchronous change of the SOC estimation value;
according to the SOC estimation updating value obtained by synchronous change, updating calculation of the terminal voltage deviation threshold value and the terminal voltage deviation value is carried out;
and returning to the step of increasing the Kalman gain according to a preset regulation value to continue executing when the preset SOC correction condition is determined to be reached based on the updated terminal voltage deviation threshold value and the terminal voltage deviation value, and stopping SOC correction when the SOC estimation updated value obtained corresponding to the synchronous change is determined to be in the SOC threshold value range.
8. A battery SOC correction device is characterized by comprising a data acquisition module, a parameter determination module, a first calculation module, a second calculation module and a battery SOC correction module, wherein:
the battery comprises a data acquisition module, a battery state acquisition module and a battery state acquisition module, wherein the data acquisition module is used for acquiring measurement acquisition data and battery state data, the measurement acquisition data comprises a current measurement value and a terminal voltage measurement value, and the battery state data comprises an SOC estimation value and a battery temperature;
the parameter determination module is used for determining corresponding battery state parameters based on a mapping relation between the battery cell state data and the battery state parameters, wherein the battery state parameters comprise battery open-circuit voltage and ohmic internal resistance;
the first calculation module is used for determining an equivalent circuit model according to the battery state parameters and the measurement acquisition data, and calculating to obtain a corresponding terminal voltage deviation value based on the equivalent circuit model;
the second calculation module is used for determining a terminal voltage deviation threshold according to a preset SOC threshold range and a battery state parameter;
and the battery SOC correction module is used for comparing the terminal voltage deviation threshold with the terminal voltage deviation value to obtain a comparison result, and when the comparison result is determined to meet a preset SOC correction condition, performing battery SOC correction.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
CN202111167758.0A 2021-09-29 2021-09-29 Battery SOC correction method and device, computer equipment and storage medium Pending CN113917348A (en)

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Cited By (3)

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CN115840153A (en) * 2022-12-06 2023-03-24 北汽福田汽车股份有限公司 Battery detection method, device storage medium and electronic equipment
CN117452251A (en) * 2023-12-19 2024-01-26 浙江地芯引力科技有限公司 Method and device for estimating battery cut-off electric quantity, electronic equipment and storage medium
CN117517979A (en) * 2023-12-19 2024-02-06 浙江地芯引力科技有限公司 Battery parameter updating method and device, electronic equipment and storage medium

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115840153A (en) * 2022-12-06 2023-03-24 北汽福田汽车股份有限公司 Battery detection method, device storage medium and electronic equipment
CN117452251A (en) * 2023-12-19 2024-01-26 浙江地芯引力科技有限公司 Method and device for estimating battery cut-off electric quantity, electronic equipment and storage medium
CN117517979A (en) * 2023-12-19 2024-02-06 浙江地芯引力科技有限公司 Battery parameter updating method and device, electronic equipment and storage medium
CN117452251B (en) * 2023-12-19 2024-03-26 浙江地芯引力科技有限公司 Method and device for estimating battery cut-off electric quantity, electronic equipment and storage medium
CN117517979B (en) * 2023-12-19 2024-04-05 浙江地芯引力科技有限公司 Battery parameter updating method and device, electronic equipment and storage medium

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