CN117471328A - Method, system and terminal equipment for determining capacity of lead-acid battery - Google Patents
Method, system and terminal equipment for determining capacity of lead-acid battery Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 50
- 239000002253 acid Substances 0.000 title claims abstract description 28
- 238000005259 measurement Methods 0.000 claims abstract description 37
- 230000008859 change Effects 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 16
- 238000012937 correction Methods 0.000 claims description 12
- 230000008569 process Effects 0.000 description 18
- 238000007599 discharging Methods 0.000 description 9
- 238000004364 calculation method Methods 0.000 description 6
- QAOWNCQODCNURD-UHFFFAOYSA-N Sulfuric acid Chemical compound OS(O)(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-N 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 239000003792 electrolyte Substances 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 235000011149 sulphuric acid Nutrition 0.000 description 1
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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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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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]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
- G01R31/379—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator for lead-acid batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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Abstract
The application relates to the technical field of batteries and provides a method, a system and terminal equipment for determining the capacity of a lead-acid battery. The method comprises the following steps: acquiring target data of a target battery; determining a first battery estimated capacity value according to the first capacity measurement model and the target data; determining a second battery estimated capacity value according to the second capacity measuring model and the target data; determining a third battery estimated capacity value according to a third capacity measurement model and the target data; determining whether the relation between the first battery estimated capacity value, the second battery estimated capacity value and the third battery estimated capacity value accords with a preset difference relation; if the preset difference relation is met, determining a target capacity value of the target battery according to the first battery estimated capacity value, the second battery estimated capacity value, the third battery estimated capacity value and a preset capacity determination strategy. Through the scheme provided by the application, the capacity of the battery can be accurately calculated.
Description
Technical Field
The present disclosure relates to the field of battery technologies, and in particular, to a method, a system, and a terminal device for determining a capacity of a lead-acid battery.
Background
Aiming at the existing lead-acid battery in the machine room, the capacity of the lead-acid battery is reduced along with the increase of the service time, and the measurement and calculation of the battery capacity are required to be carried out frequently in order to facilitate the health check and maintenance of the battery, so that the maintenance strategy of the battery is provided pertinently.
However, the current measurement and calculation mode of the capacity of the lead-acid battery is simpler, and the dimension is single, so that the deviation between the finally measured and calculated battery capacity value and the actual capacity value is larger.
Disclosure of Invention
The invention aims to provide a method, a system and terminal equipment for determining the capacity of a lead-acid battery, and aims to solve the technical problem that the capacity measurement and calculation of the current lead-acid battery is inaccurate.
In a first aspect, the present application provides a method for determining the capacity of a lead acid battery, comprising:
acquiring target data of a target battery;
determining a first battery estimated capacity value according to the first capacity measurement model and the target data;
determining a second battery estimated capacity value according to the second capacity measurement model and the target data;
determining a third battery estimated capacity value according to the third capacity measurement model and the target data;
determining whether the relation between the first battery estimated capacity value and the second battery estimated capacity value, and the relation between the third battery estimated capacity value and the reference battery capacity value accords with a preset difference relation;
if the preset difference relation is met, determining a target capacity value of the target battery according to the first battery estimated capacity value, the second battery estimated capacity value, the third battery estimated capacity value and a preset capacity determining strategy.
According to the method for determining the capacity of the lead-acid battery, target data of the target battery are acquired firstly, a first battery estimated capacity value is determined according to a first capacity measuring and calculating model and the target data, a second battery estimated capacity value is determined according to a second capacity measuring and calculating model and the target data, a third battery estimated capacity value is determined according to a third capacity measuring and calculating model and the target data, whether the relation between the first battery estimated capacity value and the second battery estimated capacity value and the relation between the third battery estimated capacity value and the reference battery capacity value accords with a preset difference relation or not is determined, and if the relation accords with the preset difference relation, the target capacity value of the target battery is determined according to a first battery estimated capacity value and the second battery estimated capacity value and the third battery estimated capacity value and a preset capacity determining strategy, and the accuracy of battery capacity measurement and calculation can be effectively improved through the estimated capacities of the three models.
In a second aspect, the present application provides a lead acid battery capacity determination system comprising:
the acquisition module is used for acquiring target data of the target battery;
the first determining module is used for determining a first battery estimated capacity value according to the first capacity measuring and calculating model and the target data;
the second determining module is used for determining a second battery estimated capacity value according to the second capacity measuring and calculating model and the target data;
the third determining module is used for determining a third battery estimated capacity value according to the third capacity measuring and calculating model and the target data;
a fourth determining module, configured to determine whether a relationship between the first estimated battery capacity value and the second estimated battery capacity value, and a relationship between the third estimated battery capacity value and the reference battery capacity value conform to a preset difference relationship;
and a fifth determining module, configured to determine a target capacity value of the target battery according to the first estimated capacity value of the battery, the second estimated capacity value of the battery, the third estimated capacity value of the battery, and a preset capacity determining policy if the first estimated capacity value of the battery, the second estimated capacity value of the battery, and the third estimated capacity value of the battery meet a preset difference relation.
In a third aspect, the present application provides a terminal device, characterized in that it comprises a memory, a processor and a computer program stored in the memory and executable on the processor, the processor executing a determination method implemented by the computer program.
It will be appreciated that the advantages of the second to third aspects may be found in the relevant description of the first aspect, and are not described in detail herein.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required for the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an implementation of a method for determining a capacity of a lead-acid battery according to an embodiment of the present application.
FIG. 2 is a graph of voltage versus time for a second capacity measurement model according to one embodiment of the present application.
FIG. 3 is a voltage linear relationship diagram of a third capacity measurement model according to an embodiment of the present application.
Fig. 4 is a flowchart of an implementation of a method for determining a capacity of a lead-acid battery according to another embodiment of the present application.
Fig. 5 is a schematic structural diagram of a lead-acid battery capacity determination system provided in another embodiment of the present application.
Fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular device structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details.
In order to illustrate the technical solutions described in the present application, the following description is made by specific examples.
The method for determining the capacity of the lead-acid battery can accurately measure and calculate the capacity of the lead-acid battery, so that the battery can be better maintained and checked in health, and the battery can be ensured to continuously provide better.
The method for determining the capacity of the lead-acid battery provided by the embodiment of the application can be applied to terminal equipment or servers including, but not limited to, mobile phones, tablet computers, notebook computers, ultra-mobile personal computer (UMPC), netbooks, personal digital assistants (personal digital assistant, PDA) and the like, and the embodiment of the application does not limit the specific types of the terminal equipment or the servers.
Referring to fig. 1, fig. 1 is a flowchart of implementation of a method for determining capacity of a lead-acid battery according to an embodiment of the present application, including the following steps:
s11: acquiring target data of a target battery;
in this embodiment, in order to better account for the capacity of the lead-acid battery, the target data of the target battery is obtained first, so that the condition of the battery can be known through the target data, and the current capacity of the battery can be better determined.
For example, a common machine room has a set of lead-acid batteries with a rated capacity of 300Ah and a discharge time of not less than three hours, by collecting battery discharge current data, discharge voltage data and a corresponding time when the data is collected, and the rated capacity of the batteries during the period.
S12: determining a first battery estimated capacity value according to the first capacity measurement model and the target data
In this embodiment, the first capacity test model is used to process the target data to obtain the estimated capacity value of the first battery.
S13: and determining a second battery estimated capacity value according to the second capacity measurement model and the target data.
In this embodiment, the second capacity test model is used to process the target data to obtain the estimated capacity value of the second battery.
S14: and determining a third battery estimated capacity value according to the third capacity measurement model and the target data.
In this embodiment, the third capacity test model is used to process the target data to obtain the estimated capacity value of the third battery.
S15: determining whether the relation among the first battery estimated capacity value, the second battery estimated capacity value, the third battery estimated capacity value and the reference battery capacity value accords with a preset difference relation.
In this embodiment, in order to determine whether the measured and calculated battery capacity value is a value close to the actual capacity of the battery, after obtaining the first battery estimated capacity value, the second battery estimated capacity value, and the third battery estimated capacity value, a difference operation is performed on the relationship between the first battery estimated capacity value, the second battery estimated capacity value, and the third battery estimated capacity value, so as to determine whether the preset difference relationship is met.
It can be understood that if the estimated capacity value of the battery and the estimated capacity value of the second battery, the estimated capacity value of the third battery and the actual capacity value of the battery are not greatly different, the estimated capacity value of the third battery and the actual capacity value of the battery are used as parameters for determining the target capacity value of the battery.
For example, the reference battery capacity value is 100, and the first, second, and third battery estimated capacities are 99, 98, 99, respectively. The difference values between the first battery estimated capacity value, the second battery estimated capacity value and the third battery estimated capacity value and the reference battery capacity value are respectively 1, 2 and 1, and are smaller than the preset error 3, namely, the relationship between the first battery estimated capacity value, the second battery estimated capacity value, the third battery estimated capacity value and the reference battery capacity value accords with the preset difference value.
It can be understood that the reference battery capacity value may be a rated capacity value of the battery, or may be a corrected initial battery capacity predicted value obtained by correcting an initial battery capacity predicted value of the target battery in the target data according to a preset capacity value correction strategy and the first, second and third estimated battery capacity values.
S16: if the preset difference relation is met, determining a target capacity value of the target battery according to the first battery estimated capacity value, the second battery estimated capacity value, the third battery estimated capacity value, the reference battery capacity value and a preset capacity determination strategy.
In this embodiment, a preset capacity determination policy is used to describe a logic implementation process for determining the target capacity value.
In this embodiment, in order to obtain the current capacity of the target battery, after determining that the relationship between the first battery estimated capacity value and the second battery estimated capacity value, the third battery estimated capacity value, and the reference battery capacity value accords with a preset difference value relationship, the target capacity value of the target battery is determined according to the first battery estimated capacity value and the second battery estimated capacity value, the third battery estimated capacity value, the reference battery capacity value, and a preset capacity determination policy.
For example, according to a preset capacity determination strategy, taking the reference battery capacity value in the first battery estimated capacity value, the second battery estimated capacity value, the third battery estimated capacity value and the reference battery capacity value as the target capacity value of the target battery.
In one embodiment of the present application, determining a first battery estimated capacity value based on a first capacity measurement model and target data includes:
and determining a first battery estimated capacity value according to a preset first battery estimated capacity value formula, a preset measuring and calculating strategy and target data.
In this embodiment, in order to obtain a more accurate capacity value of the target battery through calculation, the first battery estimated capacity value is determined according to a preset first battery estimated capacity value formula, a preset measurement policy and target data.
The preset measurement strategy is used for describing logic of how to use a preset first battery estimated capacity value formula and target data to measure and obtain a first battery estimated capacity value.
In one embodiment, the first battery estimated capacity value formula (Peukert formula) is as follows:
wherein I is discharge current, and n is Peukert constant; k is a constant, is a characteristic quantity related to the battery capacity, t is a discharge duration, and k and n are empirical values.
In the present practiceIn the embodiment, the rated capacity of the lead-acid battery is preset to be E, the real capacity is assumed to be X, the unit is Ah, and the constraint condition is 0<=X<The empirical equation Peukert is necessarily satisfied by X, and only the time series data of the discharge current and the discharge voltage are currently known. The Peukert constant K, n varies according to different discharge rates (discharge rate=discharge current/capacity), and the capacity value of the battery can be calculated from the Peukert equationIt is not known what the Peukert, K, n constants corresponding to the discharge rate (I/X) are at first, it can only be assumed that the battery is just as capacity is not reduced as it is just leaving the factory, i.e., x=e, then according to the K, n constants corresponding to the discharge rate, peukert formula is used to calculate the discharge duration t1 and the empirical end voltages u1 and S (S is equal to E in the first calculation), if the preset difference relation is not met, the subsequent S is the initial battery capacity estimated value after correction.
In one embodiment of the present application, the target data includes: a discharge voltage data sequence, a discharge current data sequence, and a time stamp data sequence;
determining a second battery estimated capacity value based on the second capacity measurement model and the target data, comprising:
determining an average current value according to the discharge current data sequence;
determining a relationship between voltage and time according to the discharge voltage data sequence and the time stamp data sequence;
determining estimated discharge end time according to the relationship between the voltage and the time;
and determining the estimated capacity value of the second battery according to the average current value and the estimated discharge end time.
In this embodiment, a plurality of voltage values collected during the discharging process of the target battery are recorded in the discharging voltage data sequence.
The discharge current data sequence records a plurality of current values acquired in the discharge process of the target battery.
Each data member described in the time stamp data sequence is time in h (hours), and from 0, the collection value of each member indicates the collection time of the current value and the voltage value, for example, the second member of the time stamp data sequence corresponds to the second member of the discharge voltage data sequence and the discharge current data sequence.
In this embodiment, in order to obtain a more accurate current capacity of the target battery by estimation, an average current value is determined according to a discharge current data sequence, and a relationship between voltage and time is determined according to a discharge voltage data sequence and a time stamp data sequence; determining estimated discharge end time according to the relationship between the voltage and the time; and determining the estimated capacity value of the second battery according to the average current value and the estimated discharge end time.
The average current value is obtained by performing a sum operation on a plurality of current data recorded in the discharge current data sequence and then performing an average operation on the current number recorded in the sum operation result and sequence.
For example, referring to fig. 2, according to the discharge voltage data sequence and the time stamp data sequence, the relationship between the voltage and the time is determined, and according to the termination voltage of the target battery, the estimated discharge end time is determined, for example, the discharge start time is T1, the corresponding voltage is 2.1v, the discharge termination voltage is 1.94v, and the corresponding time is T2, that is, 8 hours.
In one embodiment of the present application, the target data includes: a discharge voltage data sequence and a discharge current data sequence;
determining a third battery estimated capacity value based on the third capacity measurement model and the target data, comprising:
according to the discharge current data sequence, determining a capacity change value, wherein the capacity change value is used for describing the discharge electric quantity;
determining a voltage linear relation according to the discharge voltage data sequence;
and determining a third battery estimated capacity value according to the capacity change value and the voltage linear relation.
In this embodiment, in order to obtain a more accurate current capacity of the target battery by estimation, a capacity change value is determined according to a discharge current data sequence, where the capacity change value is used to describe a discharge power condition; determining a voltage linear relation according to the discharge voltage data sequence; and determining a third battery estimated capacity value according to the capacity change value and the voltage linear relation.
It can be understood that in the discharging process of the battery, the discharging current value is continuously collected to obtain the discharging current data sequence, so that the discharging current quantity which is discharged currently can be calculated through the discharging point current data sequence, and the discharging electric quantity also corresponds to the capacity change value of the battery because the discharging electric quantity is related to the electric quantity. Further, a voltage linear relationship is determined from the discharge voltage data sequence. The capacity change value can also be used for determining the termination voltage, determining the discharge duration, and further determining the estimated capacity value of the third battery according to the discharge duration and the capacity change value.
By way of example, in connection with fig. 3, during discharge of a lead acid battery, the chemical cost of H2SO4 in the battery is consumed and its concentration is reduced. This causes the electrolyte pH to rise and the cell open circuit voltage to drop. The lead-acid battery voltage is in a linear relationship with electrolyte density over a range. The capacity is also in a linear relationship with the concentration of sulfuric acid, and the relationship between the concentration change and the capacity change can be described based on the voltage change, and as shown in fig. 3, the curved line is the voltage that actually changes, and the straight line is the linear change of the voltage (the relationship between the concentration change and the capacity change is potentially expressed).
In fig. 3, for example, the voltage before starting the discharge is 2.1v, the corresponding discharge capacity is assumed to be 10Ah after the discharge, the corresponding capacity change value is 10Ah, the termination voltage corresponding to the capacity change value is 2.0v, and the discharge duration is further determined to be 8h. Therefore, the third battery estimated capacity value may be determined based on the discharge time period 8h and the capacity variation value.
In one embodiment, the first capacity measurement model is a current model, and the model mainly considers the discharge current parameter of the battery in the process of measuring the capacity of the battery; the second capacity measuring and calculating model is a voltage model, and the model mainly considers the discharge voltage parameter of the battery in the process of measuring and calculating the capacity of the battery; the third capacity measurement model is a concentration model, which mainly considers concentration parameters of specific chemical components (such as sulfuric acid) contained in the battery in a linear relation with voltage change in the process of measuring the capacity of the battery.
In one embodiment of the present application, after determining whether the relationship between the first battery estimated capacity value and the second battery estimated capacity value, and the third battery estimated capacity value and the reference battery capacity value accords with the preset difference value relationship, the method further includes:
if the preset difference relation is not met, correcting the initial battery capacity predicted value of the target battery in the target data according to a preset capacity value correction strategy, the first battery predicted capacity value, the second battery predicted capacity value and the third battery predicted capacity value to obtain a corrected initial battery capacity predicted value;
and returning to the step of executing the acquisition of the target data of the target battery, determining a first battery estimated capacity value according to the first capacity measuring and calculating model and the target data, determining a second battery estimated capacity value according to the second capacity measuring and calculating model and the target data, and determining a third battery estimated capacity value according to the third capacity measuring and calculating model and the target data.
In this embodiment, since the battery is continuously discharged, the capacity of the battery is in a process of changing, so that the relationship between the first battery estimated capacity value and the second battery estimated capacity value, and the relationship between the third battery estimated capacity value and the reference battery capacity value do not conform to the preset difference relationship, that is, the calculated capacity value of the battery and the actual capacity value of the battery differ greatly, if the calculated capacity value does not conform to the preset difference relationship, the initial battery capacity estimated value of the target battery in the target data is corrected according to the preset capacity value correction strategy, the first battery estimated capacity value, the second battery estimated capacity value and the third battery estimated capacity value, and the corrected initial battery capacity estimated value is obtained;
and returning to the step of executing the acquisition of the target data of the target battery, determining a first battery estimated capacity value according to the first capacity measuring and calculating model and the target data, determining a second battery estimated capacity value according to the second capacity measuring and calculating model and the target data, and determining a third battery estimated capacity value according to the third capacity measuring and calculating model and the target data.
For example, referring to fig. 4, when the rated capacity of the battery is E and the capacity of the battery begins to be measured, the current capacity S of the battery is assumed to be the rated capacity E, and the first capacity measuring model, the second capacity measuring model and the third capacity measuring model process target data (discharge voltage data sequence, discharge current data sequence, timestamp data sequence and initial estimated capacity value S) to obtain a first estimated capacity value S1, a second estimated capacity value S2 and a third estimated capacity value S3 of the battery respectively, so as to further judge the difference relationship between the current capacity S (i.e. the initial estimated capacity value S) and S1, S2 and S3. When the mutual phase difference between S and S1, S2 and S3 is determined to be very small, taking the value of S as the capacity value of the battery, and obtaining the target capacity value of the battery; if it is determined that the difference between S and S1, S2, S3 is large, a new X1 is calculated according to the correction and fusion of S1, S2, S3, and X1 is assigned to S, and the steps of processing the target data (the discharge voltage data sequence, the discharge current data sequence, the time stamp data sequence, and the initial estimated capacity value S) by the first capacity measurement model, the second capacity measurement model, and the third capacity measurement model before execution are returned again until it is determined that the difference between S and S1, S2, S3 is small.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
Corresponding to the method for determining the capacity of the lead-acid battery described in the above embodiments, fig. 5 shows a block diagram of the system for determining the capacity of the lead-acid battery provided in the embodiment of the present application, and for convenience of explanation, only the portions relevant to the embodiment of the present application are shown.
Referring to fig. 5, the determining system 100 includes:
an acquisition module 101 for acquiring target data of a target battery;
a first determining module 102, configured to determine a first estimated capacity value of the battery according to the first capacity measurement model and the target data;
a second determining module 103, configured to determine a second estimated capacity value of the battery according to the second capacity measurement model and the target data;
a third determining module 104, configured to determine a third estimated capacity value of the battery according to the third capacity measurement model and the target data;
a fourth determining module 105, configured to determine whether a relationship between the first estimated capacity value and the second estimated capacity value of the battery, and the third estimated capacity value and the reference capacity value of the battery accords with a preset difference relationship;
and a fifth determining module 106, configured to determine a target capacity value of the target battery according to the first estimated capacity value of the battery, the second estimated capacity value of the battery, the third estimated capacity value of the battery, and a preset capacity determining policy if the first estimated capacity value of the battery and the second estimated capacity value of the battery meet a preset difference relation.
In an embodiment, the first determining module 102 is further configured to determine the first estimated battery capacity value according to a preset first estimated battery capacity value formula, a preset measurement policy, and target data.
In one embodiment, the target data includes: a discharge voltage data sequence, a discharge current data sequence, and a time stamp data sequence;
the second determining module 103 is further configured to determine an average current value according to the discharge current data sequence; determining a relationship between voltage and time according to the discharge voltage data sequence and the time stamp data sequence; determining estimated discharge end time according to the relationship between the voltage and the time; and determining the estimated capacity value of the second battery according to the average current value and the estimated discharge end time.
In one embodiment, the loop execution module and the correction module;
the correction module is used for correcting the initial battery capacity predicted value of the target battery in the target data according to a preset capacity value correction strategy, a first battery predicted capacity value, a second battery predicted capacity value and a third battery predicted capacity value if the preset difference relation is not met, so as to obtain a corrected initial battery capacity predicted value;
the circulation execution module is used for returning to execute the steps of acquiring target data of the target battery, determining a first battery estimated capacity value according to the first capacity measurement model and the target data, determining a second battery estimated capacity value according to the second capacity measurement model and the target data, and determining a third battery estimated capacity value according to the third capacity measurement model and the target data.
Fig. 3 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in fig. 3, the terminal device 6 of this embodiment includes: at least one processor 60 (only one processor is shown in fig. 3), a memory 61, and a computer program 62 stored in the memory 61 and executable on the at least one processor 60, the processor 60 implementing the steps in any of the various search and rescue method embodiments described above when executing the computer program 62.
The terminal device 6 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The terminal device may include, but is not limited to, a processor 60, a memory 61. It will be appreciated by those skilled in the art that fig. 3 is merely an example of the terminal device 6 and is not meant to be limiting as to the terminal device 6, and may include more or fewer components than shown, or may combine certain components, or different components, such as may also include input-output devices, network access devices, etc.
The processor 60 may be a central processing unit (Central Processing Unit, CPU), the processor 60 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may in some embodiments be an internal storage unit of the terminal device 6, such as a hard disk or a memory of the terminal device 6. The memory 61 may in other embodiments also be an external storage device of the terminal device 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the terminal device 6. The memory 61 is used for storing an operating device, an application program, a boot loader (BootLoader), data, other programs, etc., such as program codes of the computer program. The memory 61 may also be used for temporarily storing data that has been output or is to be output.
It should be noted that, because the content of information interaction and execution process between the above devices/units is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment section, and will not be described herein again. It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above device may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The embodiment of the application also provides a terminal device, which comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, which when executed by the processor performs the steps of any of the various method embodiments described above.
Embodiments of the present application also provide a computer readable storage medium storing a computer program, which when executed by a processor, may implement the steps in the above-described method embodiments.
The embodiments of the present application provide a computer program product which, when run on a terminal device, causes the terminal device to perform the steps of the method embodiments described above.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to an apparatus/terminal device, recording medium, computer Memory, read-Only Memory (ROM), random access Memory (RAM, random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media. Such as a U-disk, removable hard disk, magnetic or optical disk, etc.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. A method of determining the capacity of a lead acid battery, comprising:
acquiring target data of a target battery;
determining a first battery estimated capacity value according to the first capacity measurement model and the target data;
determining a second battery estimated capacity value according to the second capacity measuring model and the target data;
determining a third battery estimated capacity value according to a third capacity measurement model and the target data;
determining whether the relation among the first battery estimated capacity value, the second battery estimated capacity value, the third battery estimated capacity value and the reference battery capacity value accords with a preset difference relation;
if the preset difference relation is met, determining a target capacity value of the target battery according to the first battery estimated capacity value, the second battery estimated capacity value, the third battery estimated capacity value and a preset capacity determination strategy.
2. The method of claim 1, wherein determining a first battery estimated capacity value based on a first capacity measurement model and the target data comprises:
and determining the estimated capacity value of the first battery according to a preset estimated capacity value formula of the first battery, a preset measuring and calculating strategy and the target data.
3. The method of claim 1, wherein the target data comprises: a discharge voltage data sequence, a discharge current data sequence, and a time stamp data sequence;
the determining a second battery estimated capacity value according to the second capacity measurement model and the target data includes:
determining an average current value according to the discharge current data sequence;
determining a relationship between voltage and time according to the discharge voltage data sequence and the time stamp data sequence;
determining estimated discharge end time according to the relation between the voltage and the time;
and determining the estimated capacity value of the second battery according to the average current value and the estimated discharge end time.
4. The method of claim 1, wherein the target data comprises: a discharge voltage data sequence and a discharge current data sequence;
the determining a third battery estimated capacity value according to the third capacity measurement model and the target data includes:
according to the discharge current data sequence, determining a capacity change value, wherein the capacity change value is used for describing discharge electric quantity;
determining a voltage linear relationship according to the discharge voltage data sequence;
and determining the estimated capacity value of the third battery according to the linear relation between the capacity change value and the voltage.
5. The method according to any one of claims 1-4, wherein after determining whether the relationship between the first battery estimated capacity value and the second battery estimated capacity value, the third battery estimated capacity value and the reference battery capacity value meets a preset difference relationship, further comprising:
if the preset difference relation is not met, correcting an initial battery capacity predicted value of a target battery in the target data according to a preset capacity value correction strategy, the first battery predicted capacity value, the second battery predicted capacity value and the third battery predicted capacity value to obtain a corrected initial battery capacity predicted value;
and returning to the step of executing the acquisition of target data of the target battery, determining a first battery estimated capacity value according to the first capacity measuring and calculating model and the target data, determining a second battery estimated capacity value according to the second capacity measuring and calculating model and the target data, and determining a third battery estimated capacity value according to the third capacity measuring and calculating model and the target data.
6. A lead acid battery capacity determination system, comprising:
the acquisition module is used for acquiring target data of the target battery;
the first determining module is used for determining a first battery estimated capacity value according to the first capacity measuring and calculating model and the target data;
the second determining module is used for determining a second battery estimated capacity value according to a second capacity measuring and calculating model and the target data;
the third determining module is used for determining a third battery estimated capacity value according to a third capacity measuring and calculating model and the target data;
a fourth determining module, configured to determine whether a relationship between the first estimated battery capacity value and the second estimated battery capacity value, and the third estimated battery capacity value and a reference battery capacity value accords with a preset difference relationship;
and a fifth determining module, configured to determine, if the first estimated capacity value and the second estimated capacity value of the battery are in accordance with a preset difference relationship, a target capacity value of the target battery according to the first estimated capacity value and the second estimated capacity value of the battery, the third estimated capacity value of the battery, and a preset capacity determining policy.
7. The system of claim 6, wherein the first determining module is further configured to determine the first battery estimated capacity value based on a preset first battery estimated capacity value formula, a preset measurement policy, and the target data.
8. The system of claim 6, wherein the target data comprises: a discharge voltage data sequence, a discharge current data sequence, and a time stamp data sequence;
the second determining module is further configured to determine an average current value according to the discharge current data sequence; determining a relationship between voltage and time according to the discharge voltage data sequence and the time stamp data sequence; determining estimated discharge end time according to the relation between the voltage and the time; and determining the estimated capacity value of the second battery according to the average current value and the estimated discharge end time.
9. The system according to any one of claims 6-8, further comprising: the circulation execution module and the correction module;
the correction module is configured to correct an initial battery capacity estimated value of the target battery in the target data according to a preset capacity value correction policy and the first battery estimated capacity value, the second battery estimated capacity value and the third battery estimated capacity value if the preset difference relation is not met, so as to obtain a corrected initial battery capacity estimated value;
the circulation execution module is used for returning to execute the steps of obtaining target data of a target battery, determining a first battery estimated capacity value according to a first capacity measuring and calculating model and the target data, determining a second battery estimated capacity value according to a second capacity measuring and calculating model and the target data, and determining a third battery estimated capacity value according to a third capacity measuring and calculating model and the target data.
10. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the determination method according to any one of claims 1 to 5 when the computer program is executed.
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Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04164269A (en) * | 1990-07-02 | 1992-06-09 | Nippondenso Co Ltd | Battery condition detecting device |
KR20030068789A (en) * | 2002-02-18 | 2003-08-25 | 에스케이텔레텍주식회사 | Method for estimating design capacity of battery loaded on mobile phone |
CN102265171A (en) * | 2011-05-31 | 2011-11-30 | 华为技术有限公司 | Method and device for detecting configuration error of rated capacity of battery |
CN103852725A (en) * | 2012-11-30 | 2014-06-11 | 凹凸电子(武汉)有限公司 | Equipment, method and system for estimating remaining capacity of battery |
US20200292619A1 (en) * | 2016-09-14 | 2020-09-17 | Kabushiki Kaisha Toshiba | Electric storage capacity estimation apparatus, method and program |
CN112731187A (en) * | 2020-12-25 | 2021-04-30 | 广西宁达汽车科技有限公司 | Battery capacity correction method and battery management system |
CN113075558A (en) * | 2021-06-08 | 2021-07-06 | 天津市松正电动科技有限公司 | Battery SOC estimation method, device and system |
CN115389938A (en) * | 2022-09-20 | 2022-11-25 | 上海电气国轩新能源科技有限公司 | Method, system, electronic device, and medium for predicting remaining battery capacity |
CN116413622A (en) * | 2023-01-28 | 2023-07-11 | 华润智慧能源有限公司 | Battery capacity calibration method and device, computer equipment and storage medium |
WO2023151116A1 (en) * | 2022-02-10 | 2023-08-17 | 福建时代星云科技有限公司 | Electric vehicle available capacity calibration method and terminal |
CN116908701A (en) * | 2023-07-31 | 2023-10-20 | 广州明美新能源股份有限公司 | Battery capacity calibration method, device and equipment |
WO2023221589A1 (en) * | 2022-05-19 | 2023-11-23 | 深圳市道通合创数字能源有限公司 | Method, apparatus and system for detecting battery health state |
-
2023
- 2023-12-27 CN CN202311816495.0A patent/CN117471328B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04164269A (en) * | 1990-07-02 | 1992-06-09 | Nippondenso Co Ltd | Battery condition detecting device |
KR20030068789A (en) * | 2002-02-18 | 2003-08-25 | 에스케이텔레텍주식회사 | Method for estimating design capacity of battery loaded on mobile phone |
CN102265171A (en) * | 2011-05-31 | 2011-11-30 | 华为技术有限公司 | Method and device for detecting configuration error of rated capacity of battery |
CN103852725A (en) * | 2012-11-30 | 2014-06-11 | 凹凸电子(武汉)有限公司 | Equipment, method and system for estimating remaining capacity of battery |
US20200292619A1 (en) * | 2016-09-14 | 2020-09-17 | Kabushiki Kaisha Toshiba | Electric storage capacity estimation apparatus, method and program |
CN112731187A (en) * | 2020-12-25 | 2021-04-30 | 广西宁达汽车科技有限公司 | Battery capacity correction method and battery management system |
CN113075558A (en) * | 2021-06-08 | 2021-07-06 | 天津市松正电动科技有限公司 | Battery SOC estimation method, device and system |
WO2023151116A1 (en) * | 2022-02-10 | 2023-08-17 | 福建时代星云科技有限公司 | Electric vehicle available capacity calibration method and terminal |
WO2023221589A1 (en) * | 2022-05-19 | 2023-11-23 | 深圳市道通合创数字能源有限公司 | Method, apparatus and system for detecting battery health state |
CN115389938A (en) * | 2022-09-20 | 2022-11-25 | 上海电气国轩新能源科技有限公司 | Method, system, electronic device, and medium for predicting remaining battery capacity |
CN116413622A (en) * | 2023-01-28 | 2023-07-11 | 华润智慧能源有限公司 | Battery capacity calibration method and device, computer equipment and storage medium |
CN116908701A (en) * | 2023-07-31 | 2023-10-20 | 广州明美新能源股份有限公司 | Battery capacity calibration method, device and equipment |
Non-Patent Citations (2)
Title |
---|
YANG LIU, ET AL.: "Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm", IEEE ACCESS, vol. 7, 27 November 2019 (2019-11-27), pages 174687 - 174698, XP011760583, DOI: 10.1109/ACCESS.2019.2956326 * |
王继伟: "阀控铅酸蓄电池放电剩余电量的计算研究", 电源世界, no. 10, 15 October 2008 (2008-10-15), pages 39 - 42 * |
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