CN113884933B - Method and system for estimating battery electric quantity and electronic equipment - Google Patents
Method and system for estimating battery electric quantity and electronic equipment Download PDFInfo
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- CN113884933B CN113884933B CN202111280375.4A CN202111280375A CN113884933B CN 113884933 B CN113884933 B CN 113884933B CN 202111280375 A CN202111280375 A CN 202111280375A CN 113884933 B CN113884933 B CN 113884933B
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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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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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
Abstract
The invention provides a method, a system and electronic equipment for estimating battery power, wherein the method comprises the following steps: acquiring test data of the battery pack before leaving a factory; acquiring charging data of the battery pack after leaving a factory; calculating the loss data of the battery cell at the current moment; according to the test data before the battery pack leaves the factory and the charging data after the battery pack leaves the factory, the actual available electric quantity of the battery monomer can be accurately estimated by integrating the charging capacity increment curve, and the defect of inherent inconsistency of the battery monomer is overcome. This not only helps the user to know the available battery cells of the current battery pack, but also provides an important reference for the battery pack to evaluate.
Description
Technical Field
The invention belongs to the technical field of batteries, and particularly relates to a method and a system for estimating battery electric quantity and electronic equipment.
Background
With the enhancement of ecological environment protection consciousness, sustainable development and green development concepts, the core of the current new energy revolution is to use photovoltaics, wind power, tides, waterpower and the like for power generation and energy storage; in addition, the pure electric vehicles in the new energy vehicles can occupy a quite large application proportion, so that batteries are required to be used in the scenes of energy storage, electric vehicles and the like. And because of the requirements of required power and energy, a large number of battery monomers are generally required to be connected in series and parallel to form a battery pack and a battery pack for use. However, the battery cells in the battery pack have inherent inconsistency, so that accurate prediction of the battery cells needs to be provided, and reference can be provided for evaluation of the battery pack.
Therefore, a method for estimating the battery power is needed to estimate the capacity of the battery cells.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defect of inherent inconsistency of the battery monomers, thereby providing a new method, system and electronic equipment for estimating the electric quantity of the battery.
In a first aspect, the present invention provides a method for estimating battery power, including the steps of: acquiring test data of the battery pack before leaving a factory, wherein the test data comprises: the method comprises the steps of (1) enabling the available electric quantity of each battery cell in a battery pack, a first voltage of each battery cell after the battery pack is fully charged for the first time at the charging end time and a charging capacity increment curve of the battery cell; acquiring charging data of the battery pack after leaving a factory, wherein the charging data comprises: the average value of the second voltage of each battery cell after the battery pack is fully charged at the current moment and the difference value between the voltage value of each battery cell and the median value of the first voltage in the preset time period of the battery pack in the non-charging state is recorded as a voltage difference value; calculating the loss data of the battery cell at the current moment; the calculation mode is as follows: integrating the second voltage, the sum of the second voltage and the voltage difference value to obtain the loss electric quantity of each battery cell according to the integral curve of the charge capacity increment curve of the battery cell; and the available electric quantity of the battery monomer at the current moment is obtained by subtracting the lost electric quantity of the battery monomer from the available electric quantity of the battery monomer before leaving the factory.
Further, after the step of calculating the loss data of the battery pack at the current time, the method further comprises the following steps: the electric quantity loss rate of the battery monomer is calculated by the following calculation method: dividing the lost power by the time of use of the battery pack; and when the electric quantity loss rate exceeds a certain threshold value, judging that the battery pack fails, and sending out an early warning signal.
Further, after the step of calculating the loss data of the battery cell at the current time, the method further comprises the following steps: and determining the loss data of the battery pack, wherein the loss electric quantity and the electric quantity loss rate of the battery cell corresponding to the second voltage with the minimum voltage value are taken as the loss data of the battery pack.
Further, after the step of calculating the loss data of the battery cell at the current moment, the method further comprises the following steps: and predicting the available electric quantity of the battery monomer at the next moment according to the electric quantity loss rate of the battery monomer.
Further, after the step of calculating the loss data of the battery cell at the current moment, the method further comprises the following steps: fitting the available electric quantity data, the cell voltage and the time of the battery cell in the historical time period, and predicting the available electric quantity of the battery cell at the next moment.
Further, in the step of predicting the available electricity quantity of the battery cell at the next moment according to the electricity quantity loss rate of the battery cell, the predicted formula is: y=x-k×t, where X is the current available power of the battery cell, k is the current power loss rate of the battery cell, t is the difference between the next time and the current time, and Y is the available power of the battery cell at the next time.
Further, in the step of acquiring test data before leaving the battery pack, the method specifically includes the following steps: acquiring initial available electric quantity and standard voltage of each battery cell of the battery pack; after the battery pack is discharged and fully charged for the first time, acquiring the first voltage of the battery cell; calculating loss data of the battery monomer before delivery; the calculation mode is as follows: taking a charging capacity increment curve of each battery cell as an integral curve, and respectively integrating the first voltage and the standard voltage as upper and lower limits of integration to obtain initial loss electric quantity of each battery cell; and the available electric quantity of each battery monomer in the battery pack before delivery is obtained through calculation by subtracting the initial lost electric quantity from the initial available electric quantity.
In a second aspect, the present invention provides a system for estimating battery power, including: the first acquisition module is used for acquiring test data before leaving the factory of the battery pack, and the test data comprises: the method comprises the steps of (1) enabling the available electric quantity of each battery cell in a battery pack, a first voltage of each battery cell after the battery pack is fully charged for the first time at the charging end time and a charging capacity increment curve of the battery cell; the second obtaining module is configured to obtain charging data after the battery pack leaves the factory, where the charging data includes: the average value of the second voltage of each battery cell after the battery pack is fully charged at the current moment and the difference value between the voltage value of each battery cell and the median value of the first voltage in the preset time period of the battery pack in the non-charging state is recorded as a voltage difference value; the calculation module is used for calculating the loss data of the battery cell at the current moment; the calculation mode is as follows: integrating the second voltage, the sum of the second voltage and the voltage difference value to obtain the loss electric quantity of each battery cell according to the integral curve of the charge capacity increment curve of the battery cell; and the available electric quantity of the battery monomer at the current moment is obtained by subtracting the lost electric quantity of the battery monomer from the available electric quantity of the battery monomer before leaving the factory.
In a third aspect, the present invention provides an electronic device comprising: the device comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions so as to execute the estimation method of the battery electric quantity.
In a fourth aspect, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the method of estimating the battery level.
The technical scheme of the invention has the following advantages:
the invention provides a method, a system and electronic equipment for estimating the electric quantity of a battery, which accurately estimate the actual available electric quantity of a battery cell according to test data before the battery pack leaves a factory and charging data after the battery pack leaves a factory, and overcome the defect of inherent inconsistency of the battery cell. This not only helps the user to know the available battery cells of the current battery pack, but also provides an important reference for the battery pack to evaluate. The specific calculation mode is as follows: and taking a charging capacity increment curve of each battery cell as an integral curve, respectively taking the sum of the second voltage, the second voltage and the voltage difference as the upper limit and the lower limit of the integral to obtain the loss electric quantity of each battery cell, and calculating the available electric quantity of the battery cell at the current moment by subtracting the loss electric quantity of the battery cell from the available electric quantity of the battery cell before leaving the factory. The pre-estimation method used by the invention does not relate to a complex electrochemical model and formula, does not depend on SOC (state of charge) estimation, and is simple and practical.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for estimating battery power provided in embodiment 1 of the present invention;
FIGS. 2-3 are flowcharts of a method for estimating battery power according to embodiment 2 of the present invention;
fig. 4 is a graph showing a charge capacity increment curve provided in embodiment 2 of the present invention;
FIG. 5 is a block diagram illustrating a battery power estimation system according to embodiment 3 of the present invention;
fig. 6 is a block diagram of an electronic device provided in embodiment 4 of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In addition, the technical features of the different embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Example 1
The embodiment 1 of the invention provides a method for estimating the electric quantity of a battery, which accurately estimates the actual available electric quantity of a battery cell according to test data before the battery pack leaves the factory and charging data after the battery pack leaves the factory, and overcomes the defect of inherent inconsistency of the battery cell. This not only helps the user to know the available battery cells of the current battery pack, but also provides an important reference for the battery pack to evaluate.
As shown in fig. 1, the method for estimating the battery power specifically includes the following steps S1 to S3.
S1, acquiring test data before leaving a factory of a battery pack, wherein the test data comprises: the method comprises the steps of enabling available electric quantity of each battery cell in the battery pack and enabling the battery pack to be at a first voltage at the charging end time of each battery cell after the battery pack is fully charged for the first time.
S2, acquiring charging data of the battery pack after leaving a factory, wherein the charging data comprise: and recording the average value of the second voltage of each battery cell after the battery pack is fully charged at the current moment and the difference value between the voltage value of each battery cell and the median value of the first voltage in a preset time period of the battery pack in a non-charging state as a voltage difference value.
S3, calculating loss data of the battery monomer at the current moment; the calculation mode is as follows: and taking a charging capacity increment curve of each battery cell as an integral curve, respectively taking the sum of the second voltage, the second voltage and the voltage difference as the upper limit and the lower limit of the integral to obtain the loss electric quantity of each battery cell, and calculating the available electric quantity of the battery cell at the current moment by subtracting the loss electric quantity of the battery cell from the available electric quantity of the battery cell before leaving the factory.
The invention provides a method for estimating the electric quantity of a battery, which accurately estimates the actual available electric quantity of a battery cell according to test data before leaving the battery pack and charging data after leaving the battery pack, and overcomes the defect of inherent inconsistency of the battery cell. This not only helps the user to know the available battery cells of the current battery pack, but also provides an important reference for the battery pack to evaluate. The specific calculation mode is as follows: and taking a charging capacity increment curve of each battery cell as an integral curve, respectively taking the sum of the second voltage, the second voltage and the voltage difference as the upper limit and the lower limit of the integral to obtain the loss electric quantity of each battery cell, and calculating the available electric quantity of the battery cell at the current moment by subtracting the loss electric quantity of the battery cell from the available electric quantity of the battery cell before leaving the factory. The pre-estimation method used by the invention does not relate to a complex electrochemical model and formula, does not depend on SOC (state of charge) estimation, and is simple and practical.
Example 2
As shown in fig. 2, embodiment 2 of the present invention provides a method for estimating battery power, which specifically includes the following steps: s101 to S107.
S101, acquiring test data before leaving a factory of the battery pack, wherein the test data comprises: the method comprises the steps of enabling available electric quantity of each battery cell in the battery pack and enabling the battery pack to be at a first voltage at the charging end time of each battery cell after the battery pack is fully charged for the first time.
As shown in fig. 3, S101 specifically includes the following steps: s1011 to S1013.
S1011, obtaining the initial available electric quantity and standard voltage of each battery cell of the battery pack.
Assuming that a battery pack is composed of 3 battery cells connected in series, the initial available electric power of the 3 battery cells in this example is 100Ah for a cell, 101Ah for b cell, and 99Ah for c cell, respectively. The standard voltage is 4.2V, which is the standard voltage that is the standard voltage 4.2V charged by one cell before the battery pack is fully charged for the first time.
And S1012, after the battery pack is discharged and is fully charged for the first time, acquiring the first voltage of the battery cell.
In this embodiment, after the battery pack is fully charged for the first time, the voltages of the battery cells at the end of charging are respectively: a monomer 4.1V, B monomer 4.15V, C monomer 4.2V.
S1013, calculating loss data of the battery monomer before delivery; the calculation mode is as follows: taking a charging capacity increment curve of each battery cell as an integral curve, and respectively integrating the first voltage and the standard voltage as upper and lower limits of integration to obtain initial loss electric quantity of each battery cell; and the available electric quantity of each battery monomer in the battery pack before delivery is obtained through calculation by subtracting the initial lost electric quantity from the initial available electric quantity.
In this embodiment, as shown in fig. 4, the battery charge capacity increment curve (dQ/dV curve) is a condition of increasing the battery charge amount per a certain degree of voltage rise of the reaction battery during charging. The general acquisition mode is that the battery is fully charged from 0% state of charge (SOC) to 100% state of charge (SOC) in a laboratory according to the charging mode (constant current charging, fast charging, constant power charging and the like) actually used by the battery pack, the electric quantity charged by the battery per 1mV rise is obtained by utilizing ampere-hour integration, then the charging voltage of the battery is taken as a horizontal axis, and the drawing or the tabulation is carried out by taking a vertical axis as a dQ/dV value. In order to improve algorithm precision, charging capacity increment curves of batteries with different charging and discharging cycle times can be obtained in advance in a laboratory, and when the charging capacity increment curves are used in the algorithm application process, different preset charging capacity increment curves are selected for calculation according to the aging condition of the vehicle-mounted actual battery.
In this embodiment, after the battery pack is fully charged for the first time, the battery cell voltage (a cell 4.1V, B cell 4.15V, C cell 4.2V) is taken as the start end of the integration interval, the battery cell charge cut-off voltage (4.2V) is taken as the end of the integration interval, and the electric quantity in the integration interval (a cell 4.1V-4.2V, b cell 4.15V-4.2V, c cell 4.2V-4.2V) is respectively integrated and calculated to obtain the electric quantity loss (a cell 1Ah, b cell 0.5Ah, c cell 0 Ah) of each battery cell, and the available electric quantity (a cell 100Ah-1 ah=99ah, b cell 101Ah-0.5 ah=100.5ah, c cell 99Ah-0 ah=99ah) of each battery cell before shipping is obtained by subtracting the initial electric quantity loss from the initial available electric quantity of each battery cell.
S102, acquiring charging data of the battery pack after leaving a factory, wherein the charging data comprises: and recording the average value of the second voltage of each battery cell after the battery pack is fully charged at the current moment and the difference value between the voltage value of each battery cell and the median value of the first voltage in a preset time period of the battery pack in a non-charging state as a voltage difference value.
In this embodiment, the battery pack needs to meet a certain charging duration in a non-charging state, and the battery reaches a certain voltage or state of charge (SOC) after charging; the certain voltage of the embodiment is 3.5V, and the preset time period is 10 minutes; that is, this example records the voltage difference between each individual voltage value at different times and the median voltage value (4.15V) of the first voltage within 10 minutes (this example takes one voltage calculation per 1 second as an example, that is, calculates the average value of the voltage difference values within 600 seconds), and then takes the average value as the voltage difference value. The recording frequency of the voltage difference value of each monomer after each charging is finished is as follows: when the number of times of charging the battery pack exceeds a certain number (20 times in this embodiment) or the battery pack is used for more than a certain time (one month in this embodiment). The median value of the first voltage can avoid the maximum and minimum interference of the first voltage, especially when individual battery cells fail, calculation cannot be affected, so that the median value can be used to represent the state of normal batteries in the battery pack; in other embodiments, the average value of the first voltage may be calculated, but when there is an abnormal cell, the average value is pulled down or pulled up, which does not well reflect the state of the normal cell in the battery pack.
S103, calculating loss data of the battery cell at the current moment; the calculation mode is as follows: integrating the second voltage, the sum of the second voltage and the voltage difference value to obtain the loss electric quantity of each battery cell according to the integral curve of the charge capacity increment curve of the battery cell; and the available electric quantity of the battery monomer at the current moment is obtained by subtracting the lost electric quantity of the battery monomer from the available electric quantity of the battery monomer before leaving the factory.
In this embodiment, each battery cell takes the voltage at the current charging end (in this embodiment, a 4.05V, B4.15V, C4.2V) as the starting end of the integration interval, takes the sum of the voltage at the current charging end and the voltage difference as the ending end of the integration interval (a 4.1V, B4.2V, C4.2V) and integrates the battery charging capacity increment curve (dQ/dV), so as to calculate the lost electric quantity of each battery cell in the integration interval (in this embodiment, a 0.5Ah, b 0Ah, c 0 Ah) which is the electric quantity lost of each battery cell after a certain charging time or a certain service time, and the current available electric quantity of each battery cell (a 99Ah-0.5 ah=98.5ah, b 100.5Ah-0 ah=100.5ah, c 99 Ah-99 ah=99ah-99 Ah) is obtained by subtracting the above-mentioned lost electric quantity from the available electric quantity of each battery cell before a certain charging time.
S104, calculating the electric quantity loss rate of the battery monomer, wherein the calculation mode is as follows: dividing the lost power by the time of use of the battery pack; and when the electric quantity loss rate exceeds a certain threshold value, judging that the battery pack fails, and sending out an early warning signal.
In this embodiment, the above steps calculate that the available power loss (a monomer 0.5Ah, b monomer 0Ah, c monomer 0 Ah) of each battery cell is divided by the above time (assuming 1000 hours) of a certain number of charging times or a certain time of use to obtain the available power loss rate (leakage current is 0.5Ah/1000 h=0.0005 Ah/h=0.14 μa/s) of the battery, and when the available power loss rate of the battery cell exceeds a certain threshold (10 mA in this embodiment), the battery is considered to have a fault or defect, and an early warning signal is sent.
And S105, determining the loss data of the battery pack, and taking the loss electric quantity and the electric quantity loss rate of the battery cell corresponding to the second voltage with the minimum voltage value as the loss data of the battery pack.
In this embodiment, the available power loss (0.5 Ah) of the cell (a cell) with the lowest voltage at the current moment after a certain number of times of charging or a certain time of use is the attenuated power (0.5 Ah) of the battery pack after a certain number of times of charging or a certain time of use, which is obtained through step S102 and step S103. Subtracting the attenuation electric quantity (0.5 Ah) from the available electric quantity (99 Ah) of each battery cell before leaving the factory to obtain the current capacity (98.5 Ah) of the battery pack. The available power loss rate (0.14 mua/s) of the battery cell (a cell) having the lowest second voltage at the end of charging is determined as the power loss rate of the battery pack over the time of use or the time of use of a certain number of times of charging.
Since the battery pack has a complicated capacity fade during use, the capacity fade of the battery pack is affected by multiple factors and cannot be simply and equivalently regarded as the capacity fade of an individual battery cell. The degradation of the battery pack is also an indicator that the consumer can directly feel. Therefore, the invention has important reference significance in the aspects of consumer experience, residual value evaluation of the battery pack or the electric vehicle, safety evaluation of the battery pack or the electric vehicle and the like through the step S105.
S106, predicting the available electric quantity of the battery cell at the next moment according to the electric quantity loss rate of the battery cell.
In this embodiment, in the step of predicting the available electric quantity of the battery cell at the next moment according to the electric quantity loss rate of the battery cell, the predicted formula is: y=x-k×t, where X is the current available power of the battery cell, k is the current power loss rate of the battery cell, t is the difference between the next time and the current time, and Y is the available power of the battery cell at the next time.
In other embodiments, the method of predicting may further be: fitting the available electric quantity data, the single voltage and the time of the single battery in the historical time period, and predicting the available electric quantity of the single battery at the next moment.
S107, predicting the available capacity of the battery pack and the attenuation rate of the battery pack at the next moment, taking the lowest available electric quantity value of the battery cells at the next moment as the available electric quantity of the battery pack at the next moment, and taking the electric quantity loss rate corresponding to the battery cells with the lowest available electric quantity value at the next moment as the attenuation rate of the battery pack at the next moment.
In this embodiment, it is assumed that there are 100 cells in one battery pack, and the current time is that the 3 rd cell is the lowest voltage at the time of the end of charging, but the power loss rate of the 20 th cell is larger; the 20 th monomer can become the monomer with the lowest voltage at the end of charging at a certain moment in the future, the available electric quantity at the next moment of the 20 th monomer is used as the available electric quantity at the next moment of the battery pack, and the electric quantity loss rate corresponding to the battery monomer with the lowest value of the available electric quantity at the next moment is used as the attenuation rate at the next moment of the battery pack.
Example 3
As shown in fig. 5, the present invention provides a system for estimating battery power, comprising: a first acquisition module 11, a second acquisition module 12 and a calculation module 13.
The first obtaining module 11 is configured to obtain test data before the battery pack leaves the factory, where the test data includes: the method comprises the steps of charging each battery cell in a battery pack, and charging capacity increment curves of the battery cells.
The second obtaining module 12 is configured to obtain charging data after the battery pack leaves the factory, where the charging data includes: and recording the average value of the second voltage of each battery cell after the battery pack is fully charged at the current moment and the difference value between the voltage value of each battery cell and the median value of the first voltage in a preset time period of the battery pack in a non-charging state as a voltage difference value.
The calculating module 13 is configured to calculate loss data of the battery cell at the current moment; the calculation mode is as follows: integrating the second voltage, the sum of the second voltage and the voltage difference value to obtain the loss electric quantity of each battery cell according to the integral curve of the charge capacity increment curve of the battery cell; and the available electric quantity of the battery monomer at the current moment is obtained by subtracting the lost electric quantity of the battery monomer from the available electric quantity of the battery monomer before leaving the factory.
The invention provides a battery electric quantity estimation system, which accurately estimates the actual electric quantity of a battery cell according to test data before leaving the factory of the battery pack and charging data after leaving the factory of the battery pack, and overcomes the defect of inherent inconsistency of the battery cell. This not only helps the user to know the available battery cells of the current battery pack, but also provides an important reference for the battery pack to evaluate. The specific calculation mode is as follows: and taking a charging capacity increment curve of each battery cell as an integral curve, respectively taking the sum of the second voltage, the second voltage and the voltage difference as the upper limit and the lower limit of the integral to obtain the loss electric quantity of each battery cell, and calculating the available electric quantity of the battery cell at the current moment by subtracting the loss electric quantity of the battery cell from the available electric quantity of the battery cell before leaving the factory. The pre-estimation method used by the invention does not relate to a complex electrochemical model and formula, does not depend on SOC (state of charge) estimation, and is simple and practical.
The embodiment also provides a system for estimating the battery power, which is used for implementing the above embodiment and the preferred implementation, and is not described in detail. As used herein, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The battery level estimation system in this embodiment is presented in the form of functional units, where the units refer to ASIC circuits, processors and memories executing one or more software or firmware programs, and/or other devices that provide the above-described functionality.
Further functional descriptions of the above respective modules are the same as those of the above corresponding embodiments, and are not repeated here.
Example 4
As shown in fig. 6, the embodiment of the invention further provides an electronic device, which is provided with the battery power estimation system shown in fig. 5.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an alternative embodiment of the present invention, where the electronic device may include: at least one processor 51, such as a CPU (Central Processing Unit ), at least one communication interface 53, a memory 54, at least one communication bus 52. Wherein the communication bus 52 is used to enable connected communication between these components. The communication interface 53 may include a Display screen (Display) and a Keyboard (Keyboard), and the selectable communication interface 53 may further include a standard wired interface and a wireless interface. The memory 54 may be a high-speed RAM memory (Random Access Memory, volatile random access memory) or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 54 may alternatively be at least one memory device located remotely from the aforementioned processor 51. The processor 51 may be associated with the system described in fig. 5, the memory 54 stores an application program, and the processor 51 invokes the program code stored in the memory 54 to perform the above-mentioned battery level estimation method steps.
The communication bus 52 may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, among others. The communication bus 52 may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
Wherein the memory 54 may include volatile memory (english) such as random-access memory (RAM); the memory may also include a nonvolatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviated as HDD) or a solid state disk (english: solid-state drive, abbreviated as SSD); memory 54 may also include a combination of the types of memory described above.
The processor 51 may be a central processor (English: central processing unit, abbreviated: CPU), a network processor (English: network processor, abbreviated: NP) or a combination of CPU and NP.
The processor 51 may further include a hardware chip, among others. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof (English: programmable logic device). The PLD may be a complex programmable logic device (English: complex programmable logic device, abbreviated: CPLD), a field programmable gate array (English: field-programmable gate array, abbreviated: FPGA), a general-purpose array logic (English: generic array logic, abbreviated: GAL), or any combination thereof.
Optionally, the memory 54 is also used for storing program instructions. The processor 51 may invoke program instructions to implement the battery charge estimation method of the present invention.
The embodiment of the invention also provides a non-transitory computer storage medium, which stores computer executable instructions, and the computer executable instructions can execute the method for estimating the battery electric quantity in any of the method embodiments. Wherein the storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (10)
1. The method for estimating the electric quantity of the battery is characterized by comprising the following steps of:
acquiring test data of the battery pack before leaving a factory, wherein the test data comprises: the method comprises the steps of (1) enabling the available electric quantity of each battery cell in a battery pack, a first voltage of each battery cell after the battery pack is fully charged for the first time at the charging end time and a charging capacity increment curve of the battery cell;
acquiring charging data of the battery pack after leaving a factory, wherein the charging data comprises: the average value of the second voltage of each battery cell after the battery pack is fully charged at the current moment and the difference value between the voltage value of each battery cell and the median value of the first voltage in the preset time period of the battery pack in the non-charging state is recorded as a voltage difference value; and
calculating the loss data of the battery monomer at the current moment; the calculation mode is as follows: integrating the sum of the second voltage and the voltage difference value and the upper limit and the lower limit of the integration respectively according to the charge capacity increment curve of the battery cell as an integral curve to obtain the loss electric quantity of each battery cell; and the available electric quantity of the battery monomer at the current moment is obtained by subtracting the lost electric quantity of the battery monomer from the available electric quantity of the battery monomer before leaving the factory.
2. The method for estimating a battery level according to claim 1, further comprising, after the step of calculating the loss data of the battery pack at the present time, the steps of:
the electric quantity loss rate of the battery monomer is calculated by the following calculation method: dividing the lost power by the time of use of the battery pack; and
and when the electric quantity loss rate exceeds a certain threshold value, judging that the battery pack fails, and sending out an early warning signal.
3. The method for estimating a battery level according to claim 2, further comprising, after the step of calculating the loss data of the battery cell at the present time, the steps of:
and determining the loss data of the battery pack, wherein the loss electric quantity and the electric quantity loss rate of the battery cell corresponding to the second voltage with the minimum voltage value are taken as the loss data of the battery pack.
4. The method for estimating a battery level according to claim 2, further comprising, after the step of calculating the loss data of the battery cell at the present time, the steps of:
and predicting the available electric quantity of the battery monomer at the next moment according to the electric quantity loss rate of the battery monomer.
5. The method for estimating a battery level according to claim 2, further comprising, after the step of calculating the loss data of the battery cell at the present time, the steps of:
fitting the available electric quantity data, the cell voltage and the time of the battery cell in the historical time period, and predicting the available electric quantity of the battery cell at the next moment.
6. The method according to claim 4, wherein in the step of predicting the available electric quantity of the battery cell at the next moment according to the electric quantity loss rate of the battery cell, the formula of the prediction is: y=x-k×t, where X is the current available power of the battery cell, k is the current power loss rate of the battery cell, t is the difference between the next time and the current time, and Y is the available power of the battery cell at the next time.
7. The method for estimating a battery level according to claim 4, wherein in the step of acquiring test data before shipment of the battery pack, the method specifically comprises the steps of:
acquiring initial available electric quantity and standard voltage of each battery cell of the battery pack;
after the battery pack is discharged and fully charged for the first time, acquiring the first voltage of the battery cell; and
calculating loss data of the battery monomer before delivery; the calculation mode is as follows: taking a charging capacity increment curve of each battery cell as an integral curve, and respectively integrating the standard voltage and the first voltage as upper and lower limits of integration to obtain initial loss electric quantity of each battery cell; and the available electric quantity of each battery monomer in the battery pack before delivery is obtained through calculation by subtracting the initial lost electric quantity from the initial available electric quantity.
8. A battery level estimation system, comprising:
the first acquisition module is used for acquiring test data before leaving the factory of the battery pack, and the test data comprises: the method comprises the steps of (1) enabling the available electric quantity of each battery cell in a battery pack, a first voltage of each battery cell after the battery pack is fully charged for the first time at the charging end time and a charging capacity increment curve of the battery cell;
the second obtaining module is configured to obtain charging data after the battery pack leaves the factory, where the charging data includes: the average value of the second voltage of each battery cell after the battery pack is fully charged at the current moment and the difference value between the voltage value of each battery cell and the median value of the first voltage in the preset time period of the battery pack in the non-charging state is recorded as a voltage difference value; and
the calculation module is used for calculating the loss data of the battery cell at the current moment; the calculation mode is as follows: integrating the sum of the second voltage and the voltage difference value and the upper limit and the lower limit of the integration respectively according to the charge capacity increment curve of the battery cell as an integral curve to obtain the loss electric quantity of each battery cell; and the available electric quantity of the battery monomer at the current moment is obtained by subtracting the lost electric quantity of the battery monomer from the available electric quantity of the battery monomer before leaving the factory.
9. An electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method for estimating battery power of any of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the method of estimating the battery level according to any one of claims 1 to 7.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012017824A1 (en) * | 2010-08-04 | 2012-02-09 | 日本電気株式会社 | Lithium secondary battery and control system thereof, and method for detection of state of lithium secondary battery |
| CN103399278A (en) * | 2013-07-31 | 2013-11-20 | 清华大学 | Single battery capacity and charge state estimating method |
| JP2016014588A (en) * | 2014-07-02 | 2016-01-28 | 日産自動車株式会社 | Battery management device |
| EP2990818A2 (en) * | 2014-09-01 | 2016-03-02 | Yokogawa Electric Corporation | Secondary battery capacity measurement system and secondary battery capacity measurement method |
| CN105572601A (en) * | 2016-03-15 | 2016-05-11 | 河北工业大学 | Judgment method for the reason of lithium battery performance degradation |
| CN106997028A (en) * | 2017-05-19 | 2017-08-01 | 江苏大学 | A kind of battery differential voltage and incremental capacity plot Efficient Solution method |
| CN110133519A (en) * | 2019-05-28 | 2019-08-16 | 蜂巢能源科技有限公司 | Calculation method, device and the equipment of battery capacity |
| CN111142036A (en) * | 2019-12-18 | 2020-05-12 | 同济大学 | Lithium ion battery online rapid capacity estimation method based on capacity increment analysis |
| CN111551868A (en) * | 2020-05-08 | 2020-08-18 | 浙江吉利控股集团有限公司 | Consistency analysis method for lithium iron phosphate battery system |
| CN112104061A (en) * | 2020-09-25 | 2020-12-18 | 全球能源互联网研究院有限公司 | Hybrid energy storage system, energy distribution method and distribution device of hybrid energy storage system |
| CN112485695A (en) * | 2020-11-23 | 2021-03-12 | 国网北京市电力公司 | Detection method and device for power battery |
| CN112530049A (en) * | 2020-11-20 | 2021-03-19 | 清华四川能源互联网研究院 | Battery state monitoring method and device, electronic equipment and storage medium |
| CN112834946A (en) * | 2020-12-31 | 2021-05-25 | 东软睿驰汽车技术（沈阳）有限公司 | Method and device for evaluating attenuation degree of battery cell |
| CN112924884A (en) * | 2021-01-29 | 2021-06-08 | 同济大学 | Quantitative diagnosis method for short circuit in battery based on incremental capacity curve peak area |
-
2021
- 2021-10-29 CN CN202111280375.4A patent/CN113884933B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012017824A1 (en) * | 2010-08-04 | 2012-02-09 | 日本電気株式会社 | Lithium secondary battery and control system thereof, and method for detection of state of lithium secondary battery |
| CN103399278A (en) * | 2013-07-31 | 2013-11-20 | 清华大学 | Single battery capacity and charge state estimating method |
| JP2016014588A (en) * | 2014-07-02 | 2016-01-28 | 日産自動車株式会社 | Battery management device |
| EP2990818A2 (en) * | 2014-09-01 | 2016-03-02 | Yokogawa Electric Corporation | Secondary battery capacity measurement system and secondary battery capacity measurement method |
| CN105572601A (en) * | 2016-03-15 | 2016-05-11 | 河北工业大学 | Judgment method for the reason of lithium battery performance degradation |
| CN106997028A (en) * | 2017-05-19 | 2017-08-01 | 江苏大学 | A kind of battery differential voltage and incremental capacity plot Efficient Solution method |
| CN110133519A (en) * | 2019-05-28 | 2019-08-16 | 蜂巢能源科技有限公司 | Calculation method, device and the equipment of battery capacity |
| CN111142036A (en) * | 2019-12-18 | 2020-05-12 | 同济大学 | Lithium ion battery online rapid capacity estimation method based on capacity increment analysis |
| CN111551868A (en) * | 2020-05-08 | 2020-08-18 | 浙江吉利控股集团有限公司 | Consistency analysis method for lithium iron phosphate battery system |
| CN112104061A (en) * | 2020-09-25 | 2020-12-18 | 全球能源互联网研究院有限公司 | Hybrid energy storage system, energy distribution method and distribution device of hybrid energy storage system |
| CN112530049A (en) * | 2020-11-20 | 2021-03-19 | 清华四川能源互联网研究院 | Battery state monitoring method and device, electronic equipment and storage medium |
| CN112485695A (en) * | 2020-11-23 | 2021-03-12 | 国网北京市电力公司 | Detection method and device for power battery |
| CN112834946A (en) * | 2020-12-31 | 2021-05-25 | 东软睿驰汽车技术（沈阳）有限公司 | Method and device for evaluating attenuation degree of battery cell |
| CN112924884A (en) * | 2021-01-29 | 2021-06-08 | 同济大学 | Quantitative diagnosis method for short circuit in battery based on incremental capacity curve peak area |
Non-Patent Citations (1)
| Title |
|---|
| 一种动力电池容量一致性辨识方法;焦东升 等;电源技术;第40卷(第7期);1429-1433 * |
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