CN116413622A - Battery capacity calibration method and device, computer equipment and storage medium - Google Patents
Battery capacity calibration method and device, computer equipment and storage medium Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/005—Calibrating; Standards or reference devices, e.g. voltage or resistance standards, "golden" references
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Abstract
The application belongs to the technical field of batteries, and discloses a battery capacity calibration method, a device, computer equipment and a storage medium, wherein the method comprises the following steps: putting the battery management system with the charge-discharge cycle times reaching the charge-discharge time threshold value into a capacity to-be-maintained queue; executing a first capacity calibration maintenance mode on the battery management system with the residual electric quantity value larger than the preset electric quantity value, and executing a second capacity calibration maintenance mode on the battery management system with the residual electric quantity value smaller than or equal to the preset electric quantity value; calculating the current capacity value and the current residual capacity value of each battery management system; calculating a theoretical residual electric quantity value based on the current temperature value, the current power value, the current capacity value and the historical temperature-power charge-discharge curve; and selecting a battery management system with the maximum residual electric quantity deviation value to execute a residual electric quantity self-correction mode according to the theoretical residual electric quantity value and the current residual electric quantity value. The method and the device are used for manufacturing working conditions which are favorable for capacity calibration maintenance and SOC correction calibration of the battery management system.
Description
Technical Field
The present disclosure relates to the field of battery technologies, and in particular, to a battery capacity calibration method, device, computer device, and storage medium.
Background
As the energy storage system is applied to the primary and secondary frequency modulation fields of electric power, the energy storage power station has strong randomness of working conditions, high operation strength and certain battery maintenance requirements without unidirectional charge and discharge conditions; the most core idea is to schedule the PCS (Power Convert System, power conversion system) to Charge and discharge the battery, so as to achieve the purposes Of filling the rated capacity Of the battery, guiding the BMS (Battery Management System ) to correct the SOC (State Of Charge, remaining battery power) and the like. However, in the coordination control process of participating in primary frequency modulation and secondary frequency modulation (AGC frequency modulation) of electric power, the energy storage power station cannot carry out unidirectional charging or discharging for a long time due to strong randomness of charging and discharging working conditions, and the battery management system cannot carry out capacity calibration maintenance, so that the capacity value and the SOC value of the battery management system are inaccurate, and the battery management system really needing SOC self-correction cannot be obtained by calculating the SOC deviation value. The prior art has the problem that the battery management system cannot perform capacity calibration maintenance and SOC correction calibration due to strong randomness of charge and discharge working conditions.
Disclosure of Invention
The application provides a battery capacity calibration method, a device, computer equipment and a storage medium, which can solve the problem of strong randomness of charge and discharge working conditions, and orderly manufacture working conditions favorable for battery management system capacity calibration maintenance and SOC correction calibration.
In a first aspect, an embodiment of the present application provides a battery capacity calibration method, where the method is applied to an energy storage energy management system, and the method includes:
detecting whether the charge-discharge cycle times of each battery management system of the energy storage power station reach a charge-discharge time threshold, and placing the battery management systems with the charge-discharge cycle times reaching the charge-discharge time threshold into a capacity to-be-maintained queue;
acquiring the residual electric quantity value of each battery management system in a capacity to-be-maintained queue, executing a first capacity calibration maintenance mode for the battery management system with the residual electric quantity value being larger than a preset electric quantity value, and executing a second capacity calibration maintenance mode for the battery management system with the residual electric quantity value being smaller than or equal to the preset electric quantity value;
after executing the first capacity calibration maintenance mode or the second capacity calibration maintenance mode on each battery management system in the capacity to-be-maintained queue is finished, calculating the current capacity value and the current residual capacity value of each battery management system of the energy storage power station;
acquiring a current temperature value and a current power value of each battery management system of the energy storage power station; calculating theoretical residual electricity values of all battery management systems based on the current temperature values, the current power values, the current capacity values and the historical temperature-power charge-discharge curves of all battery management systems of the energy storage power station;
and obtaining the residual electric quantity deviation value of each battery management system according to the theoretical residual electric quantity value and the current residual electric quantity value, and selecting the battery management system with the largest residual electric quantity deviation value to execute a residual electric quantity self-correction mode.
Further, the method further comprises:
acquiring maintenance time of executing a first capacity calibration maintenance mode or a second capacity calibration maintenance mode last time by each battery management system of the energy storage power station;
and obtaining the non-maintenance time of each battery management system of the energy storage power station according to the maintenance time and the current time, and placing the battery management systems with the non-maintenance time being more than or equal to a preset maintenance period into a capacity to-be-maintained queue.
Further, the method further comprises:
detecting whether the number of battery management systems in a capacity to-be-maintained queue is larger than the maximum maintenance number;
if not, acquiring the residual electricity value of each battery management system in the capacity to-be-maintained queue;
if so, sequencing the battery management systems according to the identification codes of the battery management systems in the capacity to-be-maintained queue, and obtaining the residual electricity value of the battery management system with the largest maintenance quantity from the battery management system with the smallest identification code.
Further, the performing the first capacity calibration maintenance mode on the battery management system with the residual electric power value greater than the preset electric power value includes: and enabling the battery management system to execute charge-non-discharge operation until the residual electric quantity value of the battery management system reaches a preset charge cut-off voltage, and enabling the battery management system to execute discharge-non-charge operation until the residual electric quantity value of the battery management system reaches the preset discharge cut-off voltage.
Further, the performing the second capacity calibration maintenance mode on the battery management system with the residual electric power value smaller than or equal to the preset electric power value includes: and enabling the battery management system to execute discharging non-charging operation until the residual electric quantity value of the battery management system reaches a preset discharging cut-off voltage, and enabling the battery management system to execute charging non-discharging operation until the residual electric quantity value of the battery management system reaches the preset charging cut-off voltage.
Further, the calculating the theoretical residual electricity value of each battery management system based on the current temperature value, the current power value, the current capacity value and the historical temperature-power charge-discharge curve of each battery management system of the energy storage power station includes: and obtaining a parameter matrix according to the historical temperature-multiplying power charge-discharge curve, and inputting the current temperature value, the current multiplying power value and the current capacity value into the parameter matrix to obtain a theoretical residual electric quantity value.
Further, the method further comprises:
calculating theoretical capacity values of all battery management systems based on the current temperature values, the current power values, the current residual electric quantity values and the historical temperature-power charge-discharge curves of all battery management systems of the energy storage power station;
and obtaining the capacity deviation value of each battery management system according to the theoretical capacity value and the current capacity value, and selecting the battery management system with the largest capacity deviation value to execute a capacity self-correction mode.
In a second aspect, embodiments of the present application provide a battery capacity calibration device, where the device is applied to an energy storage energy management system, the device includes:
the detection module is used for detecting whether the charge and discharge cycle times of each battery management system of the energy storage power station reach a charge and discharge time threshold value or not, and placing the battery management systems with the charge and discharge cycle times reaching the charge and discharge time threshold value into a capacity to-be-maintained queue;
the capacity calibration maintenance module is used for acquiring the residual electric quantity value of each battery management system in the capacity to-be-maintained queue, executing a first capacity calibration maintenance mode for the battery management systems with the residual electric quantity values being larger than a preset electric quantity value, and executing a second capacity calibration maintenance mode for the battery management systems with the residual electric quantity values being smaller than or equal to the preset electric quantity value;
the current value calculation module is used for calculating the current capacity value and the current residual capacity value of each battery management system of the energy storage power station after the first capacity calibration maintenance mode or the second capacity calibration maintenance mode is executed on each battery management system in the capacity to-be-maintained queue;
the theoretical value calculation module is used for obtaining the current temperature value and the current power value of each battery management system of the energy storage power station; calculating theoretical residual electricity values of all battery management systems based on the current temperature values, the current power values, the current capacity values and the historical temperature-power charge-discharge curves of all battery management systems of the energy storage power station;
and the self-correction module is used for obtaining the residual electric quantity deviation value of each battery management system according to the theoretical residual electric quantity value and the current residual electric quantity value, and selecting the battery management system with the largest residual electric quantity deviation value to execute the residual electric quantity self-correction mode.
In a third aspect, embodiments of the present application provide a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the steps of a battery capacity calibration method according to any of the embodiments described above when the computer program is executed by the processor.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a battery capacity calibration method of any of the embodiments described above.
In summary, compared with the prior art, the technical scheme provided by the embodiment of the application has the beneficial effects that at least:
according to the battery capacity calibration method, two different capacity calibration maintenance modes are respectively executed for the battery management system needing capacity calibration maintenance according to the difference of the residual electric quantity values, so that the random work condition which is difficult to control is changed, the work condition which is favorable for the capacity calibration maintenance and the SOC correction calibration of the battery management system is orderly manufactured, the battery management system can smoothly perform the capacity calibration maintenance, and therefore the calculation of the residual electric quantity deviation value can be performed according to the accurate current capacity value and the current residual electric quantity value which are acquired after the capacity calibration maintenance, and the battery management system really needing correction is enabled to perform self-correction.
Drawings
Fig. 1 is a flowchart of a battery capacity calibration method according to an exemplary embodiment of the present application.
Fig. 2 is a flowchart of a step of generating a capacity to be maintained queue according to another exemplary embodiment of the present application.
Fig. 3 is a schematic diagram of an SOC voltage modification curve according to an exemplary embodiment of the present application.
Fig. 4 is a block diagram of a battery capacity calibration device according to an exemplary embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, an embodiment of the present application provides a battery capacity calibration method, which is applied to an energy storage energy management system, and is described by taking an energy storage energy management system as an execution subject, and the method specifically includes the following steps:
step S1, detecting whether the charge and discharge cycle times of each battery management system of the energy storage power station reach a charge and discharge time threshold, and placing the battery management system with the charge and discharge cycle times reaching the charge and discharge time threshold into a capacity to-be-maintained queue.
The charge and discharge cycle times are one cycle of charging once and discharging once.
Step S2, obtaining the residual electric quantity value of each battery management system in the capacity to-be-maintained queue, executing a first capacity calibration maintenance mode for the battery management system with the residual electric quantity value being larger than a preset electric quantity value, and executing a second capacity calibration maintenance mode for the battery management system with the residual electric quantity value being smaller than or equal to the preset electric quantity value.
If the full charge of the battery is 100%, the preset charge value is preferably 50%, but may be 40%, 45%, 60%, etc.
And step S3, after the first capacity calibration maintenance mode or the second capacity calibration maintenance mode is executed on each battery management system in the capacity to-be-maintained queue, calculating the current capacity value and the current residual capacity value of each battery management system of the energy storage power station.
Wherein, the unit of the current capacity value is ampere hour (Ah), which refers to the discharging time of the battery management system according to the specified current; the current remaining capacity value is a percentage, which refers to the ratio of the remaining capacity of the battery management system after a period of use or a long period of rest to the capacity of its fully charged state.
S4, acquiring a current temperature value and a current power value of each battery management system of the energy storage power station; and calculating theoretical residual electricity values of all the battery management systems based on the current temperature values, the current power values, the current capacity values and the historical temperature-power charge-discharge curves of all the battery management systems of the energy storage power station.
The current power value refers to a certain power of the battery management system when the discharge current is a rated capacity of the battery.
And S5, obtaining the residual capacity deviation value of each battery management system according to the theoretical residual capacity value and the current residual capacity value, and selecting the battery management system with the largest residual capacity deviation value to execute the residual capacity self-correction mode.
Specifically, a difference value is obtained by making a difference between the theoretical residual electric quantity value and the current residual electric quantity value, and the absolute value of the difference value is used as the residual electric quantity deviation value of the battery management system.
In the specific implementation process, the residual electric quantity self-correction mode is used for automatically correcting and calibrating the residual electric quantity SOC of the battery management system, and the accuracy of calculating the residual electric quantity deviation value is only guaranteed, so that the battery management system for carrying out SOC self-correction is really required to carry out SOC correction and is not limited in particular how to carry out SOC self-correction.
According to the battery capacity calibration method provided by the embodiment, two different capacity calibration maintenance modes are respectively executed for the battery management system needing capacity calibration maintenance according to the difference of the residual electric quantity values, so that the random work condition which is difficult to control is changed, the work condition which is favorable for the capacity calibration maintenance and the SOC correction calibration of the battery management system is orderly manufactured, the battery management system can smoothly perform the capacity calibration maintenance, and therefore the calculation of the residual electric quantity deviation value can be performed according to the accurate current capacity value and the current residual electric quantity value which are acquired after the capacity calibration maintenance, and the battery management system really needing correction is enabled to perform self-correction.
In some embodiments, referring to fig. 2, the method may further comprise:
step S11, acquiring maintenance time of executing a first capacity calibration maintenance mode or executing a second capacity calibration maintenance mode last time by each battery management system of the energy storage power station;
and step S12, obtaining the undemanding time of each battery management system of the energy storage power station according to the maintaining time and the current time, and placing the battery management systems with undemanding time more than or equal to a preset maintaining period into a capacity to-be-maintained queue.
According to the embodiment, the capacity calibration maintenance can be carried out on the battery management system which is not subjected to the capacity calibration maintenance for a long time and has low charge and discharge cycle times, so that the battery management system with inaccurate capacity calibration basically cannot exist in the energy storage power station, and the accuracy of the battery management system for carrying out SOC self-correction is further ensured.
In some embodiments, the method may further comprise:
detecting whether the number of battery management systems in a capacity to-be-maintained queue is larger than the maximum maintenance number;
if not, acquiring the residual electricity value of each battery management system in the capacity to-be-maintained queue;
if so, sequencing the battery management systems according to the identification codes of the battery management systems in the capacity to-be-maintained queue, and obtaining the residual electricity value of the battery management system with the largest maintenance quantity from the battery management system with the smallest identification code.
The identification code of the battery management system may be a network communication IP address of the battery management system.
Specifically, if the maximum maintenance number is 5, when the number of the battery management systems in the capacity to-be-maintained queue exceeds 5, sorting according to the IP addresses of the battery management systems, selecting 5 battery management systems from the battery management system with the smallest IP address to execute the first capacity calibration maintenance mode or the second capacity calibration maintenance mode, after the 5 capacity calibration maintenance ends, starting from the 6 th in the sorting, selecting 5 battery management systems again, and the like until the battery management systems in the capacity to-be-maintained queue perform one-time capacity calibration maintenance.
The embodiment considers the upper limit of capacity calibration maintenance of the system at the same time, so that the battery management system in the capacity to-be-maintained queue orderly and sequentially executes the first capacity calibration maintenance mode or the second capacity calibration maintenance mode, thereby avoiding program errors or blocking easily caused by the simultaneous execution and improving the efficiency of capacity calibration maintenance.
In some embodiments, the performing the first capacity calibration maintenance mode on the battery management system having a residual electric power value greater than a preset electric power value includes: and enabling the battery management system to execute charge-non-discharge operation until the residual electric quantity value of the battery management system reaches a preset charge cut-off voltage, and enabling the battery management system to execute discharge-non-charge operation until the residual electric quantity value of the battery management system reaches the preset discharge cut-off voltage.
Specifically, if the voltage operating range of the battery management system is 2.0V to 3.6V, 2.0V is the discharge cut-off voltage, and 3.6V is the charge cut-off voltage. The preset charge value is assumed to be 50%.
The above embodiments enable faster execution of the completion of the first capacity calibration maintenance mode re-entry into the charge-discharge cycle by requiring less time to charge-then-discharge than discharge-then-charge for a battery management system having a residual electrical power value greater than 50%.
In some embodiments, the performing the second capacity calibration maintenance mode on the battery management system having the remaining electric power value less than or equal to the preset electric power value includes: and enabling the battery management system to execute discharging non-charging operation until the residual electric quantity value of the battery management system reaches a preset discharging cut-off voltage, and enabling the battery management system to execute charging non-discharging operation until the residual electric quantity value of the battery management system reaches the preset charging cut-off voltage.
Wherein, the preset electric quantity value is assumed to be 50%.
In the above embodiment, for the battery management system having the remaining electric power value of 50% or less, the time required for discharging before charging is shorter than that required for discharging after charging, so that the second capacity calibration maintenance mode can be performed more quickly to re-enter the charge-discharge cycle.
In some embodiments, calculating the theoretical residual electricity value of each battery management system based on the current temperature value, the current power value, the current capacity value and the historical temperature-power charge-discharge curve of each battery management system of the energy storage power station includes: and obtaining a parameter matrix according to the historical temperature-multiplying power charge-discharge curve, and inputting the current temperature value, the current multiplying power value and the current capacity value into the parameter matrix to obtain a theoretical residual electric quantity value.
The historical temperature-multiplying power charge-discharge curve comprises a plurality of charge-discharge curves with different multiplying powers and at different temperatures.
Specifically, the current temperature value, the current power value and the current capacity value are input into a parameter matrix, and the theoretical residual electric quantity value is obtained through a table look-up method or an interpolation method.
In the implementation process, please refer to fig. 3, wherein y=f (X) is a historical temperature-rate charge-discharge curve corresponding to the current temperature value and the current rate value, X 0 Representing the voltage at the first point, X 1 Voltage representing the second point, y 0 Residual electric quantity value SOC representing first point X0 ，y 1 Residual electric quantity value SOC representing second point X1 When the found inflection point X is clamped at X 0 And X is 1 And in between, by the formula:
obtaining theoretical residual electric quantity value SOC X 。
The embodiment combines various multiplying power, temperature, charge and discharge experimental curves to accurately calculate the SOC of the characteristic point voltage X And the value, thereby the calculated SOC residual current deviation value is more accurate.
In some embodiments, the method may further comprise:
calculating theoretical capacity values of all battery management systems based on the current temperature values, the current power values, the current residual electric quantity values and the historical temperature-power charge-discharge curves of all battery management systems of the energy storage power station;
and obtaining the capacity deviation value of each battery management system according to the theoretical capacity value and the current capacity value, and selecting the battery management system with the largest capacity deviation value to execute a capacity self-correction mode.
The above embodiment realizes the self-correction of the capacity of the battery management system, and the current residual electric quantity value and the current capacity value are input values in the self-correction process of each other.
Referring to fig. 4, another embodiment of the present application provides a battery capacity calibration device, which is applied to an energy storage energy management system, and may include:
the detection module 101 is configured to detect whether the charge-discharge cycle number of each battery management system of the energy storage power station reaches a charge-discharge cycle number threshold, and place the battery management system whose charge-discharge cycle number reaches the charge-discharge cycle number threshold into a capacity to-be-maintained queue;
the capacity calibration maintenance module 102 is configured to obtain a remaining electric power value of each battery management system in the capacity to-be-maintained queue, execute a first capacity calibration maintenance mode for battery management systems with remaining electric power values greater than a preset electric power value, and execute a second capacity calibration maintenance mode for battery management systems with remaining electric power values less than or equal to the preset electric power value;
the current value calculating module 103 is configured to calculate a current capacity value and a current residual capacity value of each battery management system of the energy storage power station after the first capacity calibration maintenance mode or the second capacity calibration maintenance mode is executed on each battery management system in the capacity to-be-maintained queue;
the theoretical value calculation module 104 is configured to obtain a current temperature value and a current power value of each battery management system of the energy storage power station; calculating theoretical residual electricity values of all battery management systems based on the current temperature values, the current power values, the current capacity values and the historical temperature-power charge-discharge curves of all battery management systems of the energy storage power station;
the self-correction module 105 obtains the residual capacity deviation value of each battery management system according to the theoretical residual capacity value and the current residual capacity value, and selects the battery management system with the largest residual capacity deviation value to execute the residual capacity self-correction mode.
According to the battery capacity calibration device provided in the above embodiment, two different capacity calibration maintenance modes are respectively executed on the battery management system needing capacity calibration maintenance according to the difference of the residual electric quantity values through the capacity calibration maintenance module 102, so that the random work condition which is difficult to control is changed, the work condition which is favorable for the capacity calibration maintenance and the SOC correction calibration of the battery management system is orderly manufactured, the battery management system can smoothly perform the capacity calibration maintenance, and therefore the self-correction module 105 can calculate the residual electric quantity deviation value according to the accurate current capacity value and the current residual electric quantity value obtained after the capacity calibration maintenance, and the battery management system which really needs correction is self-corrected.
The specific limitation of the battery capacity calibration device provided in this embodiment may be referred to the above embodiments of a battery capacity calibration method, and will not be described herein. Each module in the battery capacity calibration device can be implemented in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
Embodiments of the present application provide a computer device that may include a processor, memory, a network interface, and a database 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 includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, causes the processor to perform the steps of a battery capacity calibration method as in any of the embodiments described above.
The working process, working details and technical effects of the computer device provided in this embodiment can be referred to the above embodiments of a battery capacity calibration method, which are not described herein.
The present embodiments provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a battery capacity calibration method of any of the embodiments described above. The computer readable storage medium refers to a carrier for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash Memory, and/or a Memory Stick (Memory Stick), etc., where the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices.
The working process, working details and technical effects of the computer readable storage medium provided in this embodiment can be referred to the above embodiments of a battery capacity calibration method, and are not described herein.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A battery capacity calibration method, the method comprising:
detecting whether the charge-discharge cycle times of each battery management system of an energy storage power station reach a charge-discharge time threshold, and placing the battery management systems with the charge-discharge cycle times reaching the charge-discharge time threshold into a capacity to-be-maintained queue;
acquiring the residual electric quantity value of each battery management system in the capacity to-be-maintained queue, executing a first capacity calibration maintenance mode on the battery management system with the residual electric quantity value being larger than a preset electric quantity value, and executing a second capacity calibration maintenance mode on the battery management system with the residual electric quantity value being smaller than or equal to the preset electric quantity value;
after the first capacity calibration maintenance mode or the second capacity calibration maintenance mode is executed on each battery management system in the capacity to-be-maintained queue, calculating a current capacity value and a current residual capacity value of each battery management system of the energy storage power station;
acquiring a current temperature value and a current power value of each battery management system of the energy storage power station; calculating a theoretical residual electricity value of each battery management system based on a current temperature value, a current power value, the current capacity value and a historical temperature-power charge-discharge curve of each battery management system of the energy storage power station;
and obtaining the residual electric quantity deviation value of each battery management system according to the theoretical residual electric quantity value and the current residual electric quantity value, and selecting the battery management system with the maximum residual electric quantity deviation value to execute a residual electric quantity self-correction mode.
2. The method according to claim 1, wherein the method further comprises:
acquiring maintenance time of executing the first capacity calibration maintenance mode or the second capacity calibration maintenance mode last time by each battery management system of the energy storage power station;
and obtaining the non-maintenance time of each battery management system of the energy storage power station according to the maintenance time and the current time, and placing the battery management system with the non-maintenance time being more than or equal to a preset maintenance period into the capacity to-be-maintained queue.
3. The method according to claim 1, wherein the method further comprises:
detecting whether the number of the battery management systems in the capacity to-be-maintained queue is larger than the maximum maintenance number;
if not, acquiring the residual electricity value of each battery management system in the capacity to-be-maintained queue;
if so, sequencing the battery management systems according to the identification codes of the battery management systems in the capacity to-be-maintained queue, and starting from the battery management system with the minimum identification code, acquiring the residual electricity value of the battery management system with the maximum maintenance quantity.
4. The method of claim 1, wherein the performing a first capacity calibration maintenance mode on the battery management system having the remaining electrical power value greater than a preset electrical power value comprises:
and enabling the battery management system to execute charge-non-discharge operation until the residual electric quantity value of the battery management system reaches a preset charge cut-off voltage, and enabling the battery management system to execute discharge-non-charge operation until the residual electric quantity value of the battery management system reaches the preset discharge cut-off voltage.
5. The method of claim 1, wherein the performing a second capacity calibration maintenance mode on the battery management system having the remaining electrical power value less than or equal to the preset electrical power value comprises:
and enabling the battery management system to execute discharging and non-charging operation until the residual electric quantity value of the battery management system reaches a preset discharging cut-off voltage, and enabling the battery management system to execute charging and non-discharging operation until the residual electric quantity value of the battery management system reaches the preset charging cut-off voltage.
6. The method of claim 1, wherein the calculating theoretical residual electricity values for each of the battery management systems based on the current temperature values, current multiplier values, the current capacity values, and historical temperature-multiplier charge-discharge curves for each of the battery management systems of the energy storage power station comprises:
and obtaining a parameter matrix according to the historical temperature-multiplying power charge-discharge curve, and inputting the current temperature value, the current multiplying power value and the current capacity value into the parameter matrix to obtain the theoretical residual electric quantity value.
7. The method according to claim 1, wherein the method further comprises:
calculating theoretical capacity values of each battery management system of the energy storage power station based on the current temperature value, the current multiplier value, the current residual electric quantity value and the historical temperature-multiplier charge-discharge curve of each battery management system;
and obtaining the capacity deviation value of each battery management system according to the theoretical capacity value and the current capacity value, and selecting the battery management system with the largest capacity deviation value to execute a capacity self-correction mode.
8. A battery capacity calibration device for use in an energy storage energy management system, the device comprising:
the detection module is used for detecting whether the charge and discharge cycle times of each battery management system of the energy storage power station reach a charge and discharge time threshold value or not, and placing the battery management systems with the charge and discharge cycle times reaching the charge and discharge time threshold value into a capacity to-be-maintained queue;
the capacity calibration maintenance module is used for acquiring the residual electric quantity value of each battery management system in the capacity to-be-maintained queue, executing a first capacity calibration maintenance mode on the battery management system with the residual electric quantity value being larger than a preset electric quantity value, and executing a second capacity calibration maintenance mode on the battery management system with the residual electric quantity value being smaller than or equal to the preset electric quantity value;
the current value calculating module is used for calculating the current capacity value and the current residual electric quantity value of each battery management system of the energy storage power station after the first capacity calibration maintenance mode or the second capacity calibration maintenance mode is executed on each battery management system in the capacity to-be-maintained queue;
the theoretical value calculation module is used for obtaining the current temperature value and the current power value of each battery management system of the energy storage power station; calculating a theoretical residual electricity value of each battery management system based on a current temperature value, a current power value, the current capacity value and a historical temperature-power charge-discharge curve of each battery management system of the energy storage power station;
and the self-correction module is used for obtaining the residual electric quantity deviation value of each battery management system according to the theoretical residual electric quantity value and the current residual electric quantity value, and selecting the battery management system with the largest residual electric quantity deviation value to execute a residual electric quantity self-correction mode.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117471328A (en) * | 2023-12-27 | 2024-01-30 | 高新兴科技集团股份有限公司 | Method, system and terminal equipment for determining capacity of lead-acid battery |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117471328A (en) * | 2023-12-27 | 2024-01-30 | 高新兴科技集团股份有限公司 | Method, system and terminal equipment for determining capacity of lead-acid battery |
| CN117471328B (en) * | 2023-12-27 | 2024-04-12 | 高新兴科技集团股份有限公司 | Method, system and terminal equipment for determining capacity of lead-acid battery |
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