CN110531276B - Battery condition detection method and device - Google Patents

Battery condition detection method and device Download PDF

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Publication number
CN110531276B
CN110531276B CN201910838531.0A CN201910838531A CN110531276B CN 110531276 B CN110531276 B CN 110531276B CN 201910838531 A CN201910838531 A CN 201910838531A CN 110531276 B CN110531276 B CN 110531276B
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battery
charging
detected
electric quantity
phase change
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CN110531276A (en
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张耀辉
时玮
刘欢
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Jiangsu Zhilan Power Technology Co Ltd
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Jiangsu Zhilan Power Technology Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • 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
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

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  • Life Sciences & Earth Sciences (AREA)
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  • Mechanical Engineering (AREA)
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Abstract

The application provides a battery condition detection method and device, which are applied to the field of batteries. And acquiring a charging curve in the charging process of the battery to be detected, wherein the actually measured charging curve reflects the relation between the charging amount and the battery voltage when the battery to be detected is charged. And determining a health condition phase change point representing the phase change material in the battery to be detected from the actually measured charging curve. And calculating the electric quantity difference between the charging quantity correspondingly charged at the phase change point and a preset standard electric quantity, wherein the preset standard electric quantity is the charging quantity corresponding to the phase change point in the standard charging curve of the healthy battery with the same type as the battery to be detected. And determining the battery condition of the battery to be detected according to the electric quantity difference. Therefore, the health condition of the battery to be detected is determined by comparing the charging amount of the battery phase change point to be detected with the charging amount of the healthy battery phase change point, because the phase change point of the battery reacts on the health condition of the phase change material in the battery.

Description

Battery condition detection method and device
Technical Field
The application relates to the field of batteries, in particular to a battery condition detection method and device.
Background
With the development of power battery technology, the energy density of the power battery unit is also increased year by year. The popularization of the electric vehicle is becoming a trend. However, the power battery has a serious safety problem in the actual use process.
The main reason for the accident of the power battery is from the short circuit in the diaphragm caused by the thermal runaway inside the battery. Among them, the short circuit in the separator causes a rapid temperature rise of the battery, and the decomposition of the electrolyte further accelerates the thermal reaction. In the process of accidental combustion of the power battery, along with the decomposition of electrode materials and electrolyte, a large amount of toxic gas is released. The toxic gas includes hydrogen fluoride, carbon monoxide, acrolein, and the like. In recent years, a large number of fire accidents occur in China, and casualties are very serious.
At present, because the battery management system of the power battery lacks of functions, detection and early warning of safety factors such as battery temperature, voltage and current are lacked. The user can not sense the power battery with poor health condition, and then great potential safety hazard exists.
Disclosure of Invention
In order to overcome at least one of the deficiencies in the prior art, one of the objectives of the present application is to provide a battery condition detection method applied to a data processing device, the method comprising:
determining a phase change point from an actually measured charging curve of a battery to be detected, wherein the position of the phase change point represents the health condition of a phase change material in the battery to be detected, and the actually measured charging curve is used for reflecting the relation between the charging amount and the battery voltage when the battery to be detected is charged;
calculating an electric quantity difference value between a charging quantity corresponding to the phase change point and a preset standard electric quantity, wherein the preset standard electric quantity is the charging quantity corresponding to the phase change point in a standard charging curve of a healthy battery of the same type as the battery to be detected;
and determining the battery condition of the battery to be detected according to the electric quantity difference.
Optionally, the method further comprises:
acquiring different voltage values corresponding to different charged amounts in the charging process of the battery to be detected, wherein the charging current and the charging voltage are smaller than the rated charging current and the rated charging voltage in the charging process of the battery to be detected;
and fitting different voltage values corresponding to the different charged amounts to obtain an actually measured charging curve of the battery to be detected.
Optionally, the step of fitting different voltage values corresponding to the different charged amounts to obtain an actually measured charging curve of the battery to be detected includes:
fitting the preset polynomial under preset constraint conditions according to different voltage values corresponding to the different charged amounts based on a preset polynomial to obtain at least one target polynomial, wherein the preset constraint conditions are that under the same charged amount, the root mean square value of a voltage difference value between a curve of each target polynomial and the standard charging curve is smaller than a preset root mean square threshold value;
and splicing the curves of the target polynomials to obtain an actually measured charging curve of the battery to be detected.
Optionally, the method for determining the phase change point from the measured charging curve of the battery to be detected includes:
and processing the image of the actual measurement charging curve by a haar-like image processing technology to determine a phase change point in the actual measurement charging curve.
Optionally, the step of determining the battery condition of the battery to be detected according to the electric quantity difference includes:
if the number of the phase change points is single, comparing the electric quantity difference value with a preset electric quantity difference threshold value;
and if the electric quantity difference value is larger than the electric quantity difference threshold value, the battery to be detected is a scrappable battery.
Optionally, the step of determining the battery condition of the battery to be detected according to the electric quantity difference includes:
if the number of the electric quantity difference values is multiple, obtaining a corresponding weighted summation result according to a preset weight value of each electric quantity difference value;
and comparing the weighted sum result with a preset weighted threshold, and if the weighted sum result is smaller than the preset weighted threshold, determining that the battery to be detected is a scrappable battery.
Optionally, the step of obtaining a corresponding weighted summation result according to the preset weight of each electric quantity difference value includes:
scoring each electric quantity difference value according to a preset scoring standard to obtain a scoring result of each electric quantity difference value;
and carrying out weighted summation on the grading result of each electric quantity difference value according to the preset weight value to obtain the weighted summation result.
Optionally, the method further comprises:
acquiring the actually measured charging time of the battery to be detected;
calculating a time length difference value between the measured charging time length and a preset standard charging time length, wherein the preset standard charging time length is the charging time length of the healthy battery;
and if the time length difference value is greater than a preset time length threshold value, the battery to be detected is a scrappable battery.
Another objective of an embodiment of the present application is to provide a battery condition detection apparatus, which is applied to a data processing device, and includes a phase transition point determination module, an electric quantity difference calculation module, and a battery condition judgment module;
the phase change point determining module is used for determining a phase change point from an actually measured charging curve of the battery to be detected, the position of the phase change point represents the health condition of a phase change material in the battery to be detected, and the actually measured charging curve is used for reflecting the relation between the charging amount and the battery voltage when the battery to be detected is charged;
the electric quantity difference value calculation module is used for calculating an electric quantity difference value between a charging quantity correspondingly charged at the phase change point and a preset standard electric quantity, wherein the preset standard electric quantity is the charging quantity corresponding to the phase change point in a standard charging curve of a healthy battery of the same type as the battery to be detected;
the battery condition judging module is used for determining the battery condition of the battery to be detected according to the electric quantity difference value.
Optionally, the battery condition detection apparatus further includes a data acquisition module and a curve fitting module;
the data acquisition module is used for acquiring different voltage values corresponding to different charged amounts in the charging process of the battery to be detected, and the charging current and the charging voltage are smaller than the rated charging current and the rated charging voltage in the charging process of the battery to be detected;
the curve fitting module is used for fitting different voltage values corresponding to the different charged amounts to obtain an actual measurement charging curve of the battery to be detected.
Compared with the prior art, the method has the following beneficial effects:
the battery condition detection method and device provided by the embodiment of the application are applied to the field of batteries. And acquiring a charging curve in the charging process of the battery to be detected, wherein the actually measured charging curve reflects the relation between the charging amount and the battery voltage when the battery to be detected is charged. And determining a health condition phase change point representing the phase change material in the battery to be detected from the actually measured charging curve. And calculating the electric quantity difference between the charging quantity correspondingly charged at the phase change point and a preset standard electric quantity, wherein the preset standard electric quantity is the charging quantity corresponding to the phase change point in the standard charging curve of the healthy battery with the same type as the battery to be detected. And determining the battery condition of the battery to be detected according to the electric quantity difference. Therefore, the health condition of the battery to be detected is determined by comparing the charging amount of the battery phase change point to be detected with the charging amount of the healthy battery phase change point, because the phase change point of the battery reacts on the health condition of the phase change material in the battery.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 2 is a flowchart illustrating steps of a battery condition detection method according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a haar-like image processing technique according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a battery condition detection apparatus according to an embodiment of the present disclosure;
fig. 5 is a second schematic structural diagram of a battery condition detection apparatus according to an embodiment of the present application.
Icon: 100-a data processing device; 110-battery condition detection means; 120-a memory; 130-a processor; 1101-a phase change point determination module; 1102-an electric quantity difference calculation module; 1103-battery condition judgment module; 1104-a data acquisition module; 1105-curve fitting module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a data processing apparatus 100 according to an embodiment of the present disclosure, where the data processing apparatus 100 includes a battery condition detection device 110, a memory 120, and a processor 130.
The memory 120, the processor 130 and other elements are directly or indirectly electrically connected to each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The battery condition detection device 110 includes at least one software function module which can be stored in the memory 120 in the form of software or firmware (firmware) or is fixed in an Operating System (OS) of the data processing apparatus 100. The processor 130 is used for executing executable modules stored in the memory 120, such as software functional modules and computer programs included in the battery condition detection device 110.
The Memory 120 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 120 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction.
The processor 130 may be an integrated circuit chip having signal processing capabilities. The Processor 130 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Referring to fig. 2, fig. 2 is a flowchart of a battery condition detection method applied to the data processing apparatus 100 shown in fig. 1, and the method including various steps will be described in detail below.
Step S100, a phase change point is determined from an actually measured charging curve of the battery to be detected, the position of the phase change point represents the health condition of a phase change material in the battery to be detected, and the actually measured charging curve is used for reflecting the relation between the charging amount and the battery voltage when the battery to be detected is charged.
The phase change material is a substance which changes the state of a substance under the condition of constant temperature and can provide latent heat. Phase change refers to the process by which a substance changes from one phase to another. Among them, a homogeneous portion having a distinct interface with other portions is called a phase, in which physical and chemical properties are completely the same in a substance system. Corresponding to the three states of solid, liquid and gas, substances include solid phase, liquid phase and gas phase. The phase change point is a critical point in the process of converting a substance from one phase to another phase, namely the phase change point in the charging process of the battery to be detected is reflected by an actually measured charging curve.
Optionally, the data processing device 100 obtains different voltage values corresponding to different charged amounts in the charging process of the battery to be detected. And in the charging process of the battery to be detected, the charging current and the charging voltage are less than the rated charging current and the rated charging voltage. Therefore, interference caused by overlarge charging current on the collected data is avoided, and the collected data of the battery to be detected in the charging process can truly reflect the condition of the internal material of the battery.
Optionally, the data processing device 100 obtains different voltage values corresponding to different charged amounts of the battery to be detected during the charging process. Before the battery to be tested is charged, it needs to be sufficiently discharged. Therefore, interference of the residual electric quantity in the battery to be detected on the acquired data is avoided.
Optionally, based on a preset polynomial, the data processing apparatus 100 fits the preset polynomial to be solved under a preset constraint condition according to different voltage values corresponding to the different charged amounts to obtain at least one target polynomial. The preset constraint condition is that the root mean square value of the voltage difference value between the curve of each target polynomial and the standard charging curve is smaller than a preset root mean square threshold value under the same charging amount.
For example, in one possible example, the predetermined polynomial is:
y＝ax3+bx2+cx+d；
in the formula, y is a voltage value, parameters a, b, c and d are parameters to be fitted, and x is a charged amount. The data processing device 100 fits the preset polynomial by a particle swarm algorithm according to different voltage values corresponding to the different charged amounts.
In the fitting process, the preset constraint condition is as follows:
Figure BDA0002192950380000081
wherein y is a target polynomial obtained by fitting, yiIs a polynomial of a standard charging curve.
In the charging process of the batteries to be detected of different types, the actually measured charging curve shapes reflecting different voltage value relations corresponding to different charged amounts are the same. If the single target polynomial cannot meet the preset constraint condition, the data processing device 100 performs piecewise fitting on different voltage values corresponding to different charging amounts of the battery to be detected during charging by using a plurality of target polynomials, and finally splices curves of the target polynomials to obtain an actual measurement charging curve of the battery to be detected.
Optionally, the data processing device 100 processes the image to which the measured charging curve belongs by means of a haar-like image processing technique to determine a phase change point in the measured charging curve.
Referring to fig. 3, fig. 3 is a schematic diagram of a haar-like image processing technique, in which the data processing apparatus 100 divides the image of the measured charging curve into a plurality of grids. The plurality of grids divide the measured charging curve into a plurality of line segments. And the end point of each line segment is positioned on the diagonal line of the rectangle formed by the grids.
For each target rectangle, the line segment in the target rectangle divides the rectangle into an a region and a B region, the data processing apparatus 100 calculates a pixel difference value of the number of pixels of the a region and the B region, and further calculates a ratio of the pixel difference value to the total number of pixels of the target rectangle. Thus, the phase change point in the actually measured charging curve is determined according to the ratio.
And step S200, calculating an electric quantity difference value between the charging quantity corresponding to the phase change point and a preset standard electric quantity, wherein the preset standard electric quantity is the charging quantity corresponding to the phase change point in a standard charging curve of the healthy battery with the same type as the battery to be detected.
And step S300, determining the battery condition of the battery to be detected according to the electric quantity difference value.
The data processing device 100 compares the charging amount of the phase change point in the measured charging curve with a preset standard electric quantity, and obtains an electric quantity difference value between the charging amount of the phase change point in the measured charging curve and the preset standard electric quantity.
Alternatively, if the number of the phase change points is single, the data processing apparatus 100 compares the power difference value with a preset power difference threshold value. And if the electric quantity difference value is greater than a preset electric quantity threshold value, the potential safety hazard exists in the battery to be detected, and the battery is a scrappable battery.
Optionally, if there are a plurality of electric quantity difference values, the data processing device 100 obtains a corresponding weighted summation result according to a preset weight of each electric quantity difference value. Before weighted summation, the data processing device 100 scores each electric quantity difference value according to a preset scoring standard to obtain a scoring result of each electric quantity difference value; and carrying out weighted summation on the grading result of each electric quantity difference value according to the preset weight value to obtain the weighted summation result.
In this way, the electric quantity difference values are scored through a preset scoring standard, and the calculation standard of the electric quantity difference values is normalized. The influence of non-uniform calculation standards of the electric quantity difference values on the weighted summation result is avoided.
For example, the phase change point includes an a phase change point and a B phase change point, where the difference between the electric quantities of the a phase change point and the charging quantity is 1000, and the difference between the electric quantities of the B phase change point and the charging quantity is 1500. The charge difference values of 1000 and 1500 are identical to the battery material health response due to the material properties of the different phase change materials, i.e. the scores corresponding to the charge difference values of 1000 and 1500 are both 60 points. Therefore, each electric quantity difference value is scored through a preset scoring standard, and the weighted summation result is more reasonable and scientific.
The data processing device 100 compares the weighted summation result with a preset weighted threshold, and if the weighted summation result is smaller than the preset weighted threshold, the battery to be detected is a scrappable battery.
For example, in one possible example, the battery to be tested includes A, B, C and D together with 4 phase transition points. The electric quantity difference value corresponding to the phase change point A is divided into 41 points, the electric quantity difference value corresponding to the phase change point B is divided into 34 points, the electric quantity difference value corresponding to the phase change point C is divided into 94 points, and the electric quantity difference value corresponding to the phase change point D is divided into 20 points. The phase change points A, B, C and D correspond to weights of 0.4, 0.2, and 0.2, respectively.
Considering the influence of temperature, the temperature Bias is set to 25, and the weight thereof is 0.1. The score weighting result of the corresponding electric quantity difference is SUM, and the weight is 0.9. The final weighted summation result OUT is:
SUM＝41*0.4+34*0.2+94*0.2+20*0.2＝46；
OUT＝100-Ai*SUM+Bi*bias＝100-0.9*46+0.1*25＝56；
and setting the preset weighting threshold value as 20, so that the health condition of the battery to be detected is good.
Optionally, the battery condition detection method further includes: the data processing device 100 obtains the measured charging duration of the battery to be detected; calculating a time length difference value between the measured charging time length and a preset standard charging time length, wherein the preset standard charging time length is the charging time length of the healthy battery; and if the time length difference value is greater than a preset time length threshold value, the battery to be detected is a scrappable battery.
Referring to fig. 4, another objective of the present invention is to provide a battery condition detecting device 110. The battery condition detection apparatus 110 includes at least one functional module that can be stored in the memory 120 in the form of software. Functionally divided, the battery condition detection apparatus 110 may include a phase change point determination module 1101, a power amount difference value calculation module 1102, and a battery condition judgment module 1103.
The phase change point determining module 1101 is configured to determine a phase change point from an actual measurement charging curve of a battery to be detected, where a position of the phase change point represents a health condition of a phase change material in the battery to be detected, and the actual measurement charging curve is used to reflect a relationship between a charging amount charged when the battery to be detected is charged and a battery voltage.
In the present embodiment, the phase transformation point determining module 1101 is configured to perform step S100 in fig. 2, and reference may be made to the detailed description of step S100 for a detailed description of the phase transformation point determining module 1101.
The electric quantity difference value calculating module 1102 is configured to calculate an electric quantity difference value between a charging quantity correspondingly charged at the phase change point and a preset standard electric quantity, where the preset standard electric quantity is a charging quantity corresponding to a phase change point in a standard charging curve of a healthy battery of the same type as the battery to be detected.
In this embodiment, the power difference calculation module 1102 is configured to execute step S200 in fig. 2, and reference may be made to the detailed description of step S200 for a detailed description of the power difference calculation module 1102.
The battery condition determining module 1103 is configured to determine the battery condition of the battery to be detected according to the electric quantity difference.
In the present embodiment, the battery condition determining module 1103 is configured to perform step S300 in fig. 2, and reference may be made to the detailed description of step S300 for a detailed description of the battery condition determining module 1103.
Referring to fig. 5, the battery condition detecting device 110 further includes a data obtaining module 1104 and a curve fitting module 1105.
The data obtaining module 1104 is configured to obtain different voltage values corresponding to different charged amounts in a charging process of the battery to be detected, where the charging current and the charging voltage are smaller than the rated charging current and the rated charging voltage in the charging process of the battery to be detected.
The curve fitting module 1105 is configured to fit different voltage values corresponding to different charged amounts to obtain an actually measured charging curve of the battery to be detected.
In summary, the battery condition detection method and device provided by the embodiment of the application are applied to the field of batteries. And acquiring a charging curve in the charging process of the battery to be detected, wherein the actually measured charging curve reflects the relation between the charging amount and the battery voltage when the battery to be detected is charged. And determining a health condition phase change point representing the phase change material in the battery to be detected from the actually measured charging curve. And calculating the electric quantity difference between the charging quantity correspondingly charged at the phase change point and a preset standard electric quantity, wherein the preset standard electric quantity is the charging quantity corresponding to the phase change point in the standard charging curve of the healthy battery with the same type as the battery to be detected. And determining the battery condition of the battery to be detected according to the electric quantity difference. Therefore, the health condition of the battery to be detected is determined by comparing the charging amount of the battery phase change point to be detected with the charging amount of the healthy battery phase change point, because the phase change point of the battery reacts on the health condition of the phase change material in the battery.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only for various embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present application, and all such changes or substitutions are included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (7)

1. A battery condition detection method, applied to a data processing apparatus, the method comprising:
acquiring different voltage values corresponding to different charged amounts in the charging process of a battery to be detected, wherein the charging current and the charging voltage are smaller than the rated charging current and the rated charging voltage in the charging process of the battery to be detected;
fitting different voltage values corresponding to the different charged amounts to obtain an actually measured charging curve of the battery to be detected, wherein the actually measured charging curve comprises the following steps: fitting the preset polynomial under a preset constraint condition according to different voltage values corresponding to the different charged amounts based on a preset polynomial to obtain at least one target polynomial, wherein the preset constraint condition is that under the same charged amount, the root mean square value of the voltage difference value between the curve of each target polynomial and the standard charging curve is smaller than a preset root mean square threshold value, and splicing the curves of each target polynomial to obtain an actually measured charging curve of the battery to be detected;
determining a phase change point from an actually measured charging curve of the battery to be detected, wherein the position of the phase change point represents the health condition of a phase change material in the battery to be detected, the actually measured charging curve is used for reflecting the relation between the charging amount of the battery to be detected during charging and the voltage of the battery, and the phase change point is a critical point in the process of converting the material in the battery from one phase to the other phase;
calculating an electric quantity difference value between a charging quantity corresponding to the phase change point and a preset standard electric quantity, wherein the preset standard electric quantity is the charging quantity corresponding to the phase change point in the standard charging curve of the healthy battery of the same type as the battery to be detected;
and determining the battery condition of the battery to be detected according to the electric quantity difference.
2. The battery condition detection method according to claim 1, wherein the method of determining the phase change point from the measured charging curve of the battery to be detected comprises:
and processing the image of the actual measurement charging curve by a haar-like image processing technology to determine a phase change point in the actual measurement charging curve.
3. The battery condition detection method according to claim 1, wherein the step of determining the battery condition of the battery to be detected according to the electric quantity difference value comprises:
if the number of the phase change points is single, comparing the electric quantity difference value with a preset electric quantity difference threshold value;
and if the electric quantity difference value is larger than the electric quantity difference threshold value, the battery to be detected is a scrappable battery.
4. The battery condition detection method according to claim 1, wherein the step of determining the battery condition of the battery to be detected according to the electric quantity difference value comprises:
if the number of the electric quantity difference values is multiple, obtaining a corresponding weighted summation result according to a preset weight value of each electric quantity difference value;
and comparing the weighted sum result with a preset weighted threshold, and if the weighted sum result is smaller than the preset weighted threshold, determining that the battery to be detected is a scrappable battery.
5. The method according to claim 4, wherein the step of obtaining the corresponding weighted sum result according to the preset weight of each electric quantity difference value comprises:
scoring each electric quantity difference value according to a preset scoring standard to obtain a scoring result of each electric quantity difference value;
and carrying out weighted summation on the grading result of each electric quantity difference value according to the preset weight value to obtain the weighted summation result.
6. The battery condition detection method according to claim 1, characterized in that the method further comprises:
acquiring the actually measured charging time of the battery to be detected;
calculating a time length difference value between the measured charging time length and a preset standard charging time length, wherein the preset standard charging time length is the charging time length of the healthy battery;
and if the time length difference value is greater than a preset time length threshold value, the battery to be detected is a scrappable battery.
7. The battery condition detection device is characterized by being applied to data processing equipment and comprising a phase change point determining module, an electric quantity difference value calculating module, a data acquiring module, a curve fitting module and a battery condition judging module;
the data acquisition module is used for acquiring different voltage values corresponding to different charged amounts in the charging process of the battery to be detected, and the charging current and the charging voltage are smaller than the rated charging current and the rated charging voltage;
the curve fitting module is used for fitting different voltage values corresponding to the different charged amounts to obtain an actually measured charging curve of the battery to be detected, and the curve fitting module is used for: fitting the preset polynomial under a preset constraint condition according to different voltage values corresponding to the different charged amounts based on a preset polynomial to obtain at least one target polynomial, wherein the preset constraint condition is that under the same charged amount, the root mean square value of the voltage difference value between the curve of each target polynomial and the standard charging curve is smaller than a preset root mean square threshold value, and splicing the curves of each target polynomial to obtain an actually measured charging curve of the battery to be detected;
the phase change point determining module is used for determining a phase change point from an actually measured charging curve of the battery to be detected, and the position of the phase change point represents the health condition of a phase change material in the battery to be detected, wherein the actually measured charging curve is used for reflecting the relation between the charging amount and the battery voltage when the battery to be detected is charged, and the phase change point is a critical point in the process of converting the material in the battery from one phase to the other phase;
the electric quantity difference value calculation module is used for calculating an electric quantity difference value between a charging quantity correspondingly charged at the phase change point and a preset standard electric quantity, wherein the preset standard electric quantity is the charging quantity corresponding to the phase change point in the standard charging curve of the healthy battery of the same type as the battery to be detected;
the battery condition judging module is used for determining the battery condition of the battery to be detected according to the electric quantity difference value.
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