CN117388713A - Quantitative analysis method and system for battery health state and electronic equipment - Google Patents
Quantitative analysis method and system for battery health state and electronic equipment Download PDFInfo
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- G—PHYSICS
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- 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]
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- 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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Abstract
The application provides a quantitative analysis method, a quantitative analysis system and electronic equipment for battery health status, which relate to the technical field of battery health, and are characterized in that original parameters and correction parameters of batteries of the same type are obtained, wherein the correction parameters comprise correction values of different influence factors; obtaining an attenuation reference curve of the same type of battery according to the original parameters and the correction parameters; and determining the contribution degree of each influence factor through a contribution degree quantization model by combining the attenuation reference curve of the same type of battery and the correction parameters, and providing a reasonable battery use suggestion for a user.
Description
Technical Field
The invention relates to the technical field of battery health evaluation, in particular to a quantitative analysis method, a quantitative analysis system and electronic equipment for battery health status.
Background
A battery is one of the energy storage devices that functions to convert chemical energy into electrical energy and release the electrical energy when needed. Along with the development of technology, batteries are widely applied to the fields of electric vehicles, mobile equipment, power grid energy storage and the like.
The State of Health (SOH) is a key indicator that characterizes the degree of aging and State of Health of a battery, and is generally defined as the ratio between the current maximum available capacity and the factory rated capacity. With the increase of the service time of the battery and the improper use mode, the aging degree of the battery can be obviously increased, so that the battery performance is gradually reduced, the service life of the battery is gradually shortened, and the health state of the battery is gradually reduced. Moreover, when the battery state of health is at a low level, there is a significant safety hazard to the battery.
In the prior art, the battery state of health is generally estimated and predicted by qualitative analysis, and under the condition that specific influencing factors and specific influencing degrees which cause the reduction of the battery state of health cannot be determined, reasonable use suggestions cannot be provided for users to slow down the reduction rate of the battery state of health.
Therefore, a method, a system and an electronic device for quantitatively analyzing the state of health of a battery are needed.
Disclosure of Invention
The specification provides a quantitative analysis method for the state of health of a battery, which is characterized in that after an attenuation reference curve of a battery of the same type is obtained, a state value of each influence factor is obtained through a contribution degree quantitative model by combining the attenuation reference curve and a correction parameter, the contribution degree of each influence factor is determined, and a reasonable battery use suggestion is provided for a user.
The quantitative analysis method for the battery health state adopts the following technical scheme that:
acquiring original parameters and correction parameters of the same type of battery, wherein the correction parameters comprise correction values of different influence factors;
obtaining an attenuation reference curve of the same type of battery according to the original parameters and the correction parameters;
and determining the contribution degree of each influence factor through a contribution degree quantization model by combining the attenuation reference curve of the same type of battery and the correction parameters, and providing a reasonable battery use suggestion for a user.
Optionally, the obtaining the attenuation reference curve of the battery with the same type according to the original parameter and the correction parameter includes:
fitting an attenuation curve of the same type of battery according to the original parameters;
optimizing the attenuation curve;
and correcting the optimized attenuation curve based on the correction parameters to obtain the attenuation reference curve of the battery with the same type.
Optionally, the determining, by combining the attenuation reference curve of the same type of battery with the correction parameter and using a contribution quantization model, the contribution of each influence factor, and providing a rationalized battery use suggestion for the user, includes:
processing the attenuation reference curve and the correction parameters of the same type of battery by using a rain flow counting method, and determining the state value of each influence factor under each cycle;
determining a target value corresponding to each influence factor according to the state value of each influence factor under each cycle;
and determining the contribution degree of each influence factor according to the target value corresponding to each influence factor.
Optionally, the influence factor includes: depth of discharge, duration of charge and discharge, remaining capacity, and temperature.
Optionally, the determining, according to the state value of each influence factor, a target value corresponding to each influence factor includes:
obtaining a partial derivative of the depth of discharge as a target value of the depth of discharge according to the state value of the depth of discharge in each cycle;
obtaining a partial derivative of the duration as a target value of the duration according to the state value of the duration in each cycle;
obtaining a partial derivative of the residual electric quantity according to the state value of the residual electric quantity in each cycle, and taking the partial derivative as a target value of the residual electric quantity;
from the state value of the temperature in each cycle, the partial derivative of the temperature is obtained as the target value of the temperature.
Optionally, the determining the contribution degree of each influence factor according to the target value corresponding to each influence factor includes:
recording the sum of the target value of the depth of discharge, the target value of the duration, the target value of the remaining power and the target value of the temperature as a target total value;
the contribution degree of the depth of discharge is the ratio of the target value of the depth of discharge to the target total value;
the contribution of duration is the ratio of the target value of the duration to the target total value;
the contribution degree of the residual electric quantity is the ratio of the target value of the residual electric quantity to the target total value;
the contribution of the temperature is the ratio of the target value of the temperature to the target total value.
Optionally, the method further comprises:
and calling the use behaviors of the user, and providing personalized use suggestions for the user by combining the contribution degree of each influence factor.
The application provides a battery state of health's quantitative analysis system adopts following technical scheme, includes:
the acquisition module is used for acquiring original parameters and correction parameters of the same type of battery, wherein the correction parameters comprise correction values of different influence factors;
the correction module is used for obtaining the attenuation reference curve of the same type of battery according to the original parameters and the correction parameters;
and the analysis module is used for combining the attenuation reference curve of the same-type battery with the correction parameters, determining the contribution degree of each influence factor through a contribution degree quantization model, and providing a reasonable battery use suggestion for a user.
Optionally, the correction module includes:
the fitting sub-module is used for fitting the attenuation curve of the same type of battery according to the original parameters;
an optimizing sub-module, configured to optimize the attenuation curve;
and the correction sub-module is used for correcting the optimized attenuation curve based on the correction parameters to obtain the attenuation reference curve of the battery with the same model.
Optionally, the analysis module includes:
the processing submodule is used for processing the attenuation reference curve of the same type of battery and the correction parameters by using a rain flow counting method and determining the state value of each influence factor under each cycle;
the target value determining submodule is used for determining a target value corresponding to each influence factor according to the state value of each influence factor under each cycle;
and the contribution degree determining submodule is used for determining the contribution degree of each influence factor according to the target value corresponding to each influence factor.
Optionally, the influence factor includes: depth of discharge, duration of charge and discharge, remaining capacity, and temperature.
Optionally, the target value determining submodule includes:
a first target value determining unit for obtaining a partial derivative of the depth of discharge as a target value of the depth of discharge according to the state value of the depth of discharge in each cycle;
a second target value determining unit for obtaining a partial derivative of the duration as a target value of the duration based on the state value of the duration in each cycle;
a third target value determining unit for obtaining a partial derivative of the remaining power as a target value of the remaining power according to the state value of the remaining power in each cycle;
and a fourth target value determining unit for obtaining a partial derivative of the temperature as a target value of the temperature based on the state value of the temperature in each cycle.
Optionally, the contribution determining submodule includes:
recording the sum of the target value of the depth of discharge, the target value of the duration, the target value of the remaining power and the target value of the temperature as a target total value;
a first contribution determining unit, configured to determine a contribution of a depth of discharge as a ratio of a target value of the depth of discharge to the target total value;
a second contribution determining unit, configured to determine a contribution of a duration as a ratio of a target value of the duration to the target total value;
a third contribution determining unit, configured to determine a contribution of a remaining power as a ratio of a target value of the remaining power to the target total value;
and a fourth contribution determining unit, configured to determine a contribution of temperature as a ratio of a target value of the temperature to the target total value.
Optionally, the method further comprises:
and the personalized suggestion module is used for invoking the use behaviors of the user and providing personalized use suggestions for the user by combining the contribution degree of each influence factor.
The specification also provides an electronic device, wherein the electronic device includes:
a processor; the method comprises the steps of,
a memory storing computer executable instructions that, when executed, cause the processor to perform any of the methods described above.
The present specification also provides a computer readable storage medium storing one or more programs which when executed by a processor implement any of the methods described above.
In the application, original parameters and correction parameters of the same type of battery are obtained, wherein the correction parameters comprise correction values of different influence factors; obtaining an attenuation reference curve of the same type of battery according to the original parameters and the correction parameters; and determining the contribution degree of each influence factor through a contribution degree quantization model by combining the attenuation reference curve of the same type of battery and the correction parameters, and providing a reasonable battery use suggestion for a user.
Drawings
Fig. 1 is a schematic diagram of a method for quantitatively analyzing a battery state of health according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a quantitative analysis system for battery health status according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a computer readable medium according to an embodiment of the present disclosure.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the invention. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the invention.
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals in the drawings denote the same or similar elements, components or portions, and thus a repetitive description thereof will be omitted.
The features, structures, characteristics or other details described in a particular embodiment do not exclude that may be combined in one or more other embodiments in a suitable manner, without departing from the technical idea of the invention.
In the description of specific embodiments, features, structures, characteristics, or other details described in the present invention are provided to enable one skilled in the art to fully understand the embodiments. However, it is not excluded that one skilled in the art may practice the present invention without one or more of the specific features, structures, characteristics, or other details.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The term "and/or" and/or "includes all combinations of any one or more of the associated listed items.
Fig. 1 is a flow chart of a method for quantitatively analyzing a battery state of health according to an embodiment of the present disclosure, where the method includes:
s1, acquiring original parameters and correction parameters of the same type of battery, wherein the correction parameters comprise correction values of different influence factors;
s2, obtaining an attenuation reference curve of the same type of battery according to the original parameters and the correction parameters;
and S3, combining the attenuation reference curve of the same type of battery with the correction parameters, determining the contribution degree of each influence factor through a contribution degree quantization model, and providing a rationalized battery use suggestion for a user.
The health degree of the battery reflects the aging/degradation degree of the battery, and the influence degree of each influence factor on the health degree of the battery is accurately evaluated, so that improper use of the battery can be avoided, and safe and reliable operation of the battery is further ensured.
The invention provides a quantitative analysis method of battery health status, which comprises the following steps:
s1, acquiring original parameters and correction parameters of the same type of battery, wherein the correction parameters comprise correction values of different influence factors;
and (3) taking n batteries of the same type to carry out a cyclic charge-discharge attenuation experiment, wherein n is an integer greater than 3, and obtaining the original parameters of the batteries of the same type based on experimental data of the cyclic charge-discharge attenuation experiment.
The original parameters include the number of charge and discharge cycles N and the corresponding percentage of decay for each cycle.
Specifically, at a standard temperature t 0 In the cycle charge-discharge attenuation experiment, the cycle range of the residual electric quantity of the battery is 0% -100%, and the charge-discharge cycle times N and the attenuation percentage corresponding to each cycle are respectively recorded. Preferably, t 0 Is 25 ℃. The data can be obtained through limited experiments, and the experiment cost is reduced.
And taking a plurality of batteries with the same type, dividing the batteries into x groups, and carrying out a cyclic charge-discharge attenuation experiment on the batteries by adopting a control variable method. Considering battery health involves a number of factors such as depth of discharge, battery temperature, duration, distribution of usage variation of remaining charge, etc. In one embodiment of the present specification, in the cyclic charge-discharge decay experiment using the controlled variable method, cyclic decay times (durations) at different depths of discharge, different amounts of remaining power, and different temperatures are determined, and correction parameters are calculated. Preferably, at least 2 different temperatures, 2 different residual amounts, and 4 different depths of discharge are used.
The correction parameters are parameters obtained based on a control variable method in a cyclic charge-discharge decay experiment. In one embodiment of the present specification, the correction parameter includes a depth of discharge correction parameter k δ,e1 And k δ,e2 Calendar time correction parameter k t Average remaining power correction parameter k σ And a temperature correction parameter k T 。
In one embodiment of the present specification, the impact factor includes: depth of discharge, duration of charge and discharge, remaining capacity, and temperature.
S2, obtaining an attenuation reference curve of the same type of battery according to the original parameters and the correction parameters;
s21, fitting an attenuation curve of the same type of battery according to the original parameters;
according to the charge-discharge cycle times N and the corresponding attenuation percentage of each cycle, combining the formulaFitting a decay curve of the battery; solving the configuration parameters of each battery model, wherein the configuration parameters comprise a first configuration parameter alpha sei Second configuration parameter beta sei And a third configuration parameter f d,1 . Wherein the first configuration parameter alpha sei In connection with the initial efficiency of the battery, the initial rate of lithium ion consumed for forming a stable sei film in the battery is represented. The decay curve of the battery characterizes the relationship between the percentage of decay of the battery and the number of cyclic charge and discharge times N of the battery.
S22, optimizing the attenuation curve;
specifically, during the charge-discharge cycle, the first configuration parameter α of each battery can be obtained sei Second configuration parameter beta sei And a third configuration parameter f d,1 That is, n cells of the same type can obtain n first configuration parameters alpha sei N second configuration parameters beta sei And n third configuration parameters f d,1 . Then, for n first configuration parameters alpha sei N second configuration parameters beta sei And n third configuration parameters f d,1 Averaging to obtain corresponding first average configuration parameters of the type of batterySecond average configuration parameter->Third average configuration parameter->
The first average configuration parameter is setSecond average configuration parameter->Third average configuration parameter->Respectively as new first configuration parameters alpha sei New second configuration parameter beta sei And a new third configuration parameter f d,1 Input formulaFitting to obtain the attenuation reference curve of the battery of the model.
S23, correcting the optimized attenuation curve based on the correction parameters to obtain the attenuation reference curve of the battery with the same type.
Considering the depth of discharge, duration time, remaining capacity, temperature and the like,may vary, thus, in one embodiment of the present description, by modifying the parameter pair +.>And correcting the attenuation reference curve of the battery model.
Specifically, a plurality of batteries with the same type are taken, the batteries are divided into x groups, a control variable method is adopted to carry out a cyclic charge-discharge attenuation experiment on the batteries, and cyclic attenuation time (duration) under different discharge depths, different residual electric quantities and different temperatures are determined. Preferably, at least 2 different temperatures, 2 different residual amounts, and 4 different depths of discharge are used.
S δ (delta) is a depth of discharge correction module for characterizing a depth of discharge correction value at a depth of discharge delta; t is t c Is calendar time, S t (t c ) For calendar time correction module, for characterizing at time t c A calendar time correction value; s is S σ (sigma) is an average remaining power correction module for characterizing the average remaining power correction value at the average state of charge sigma; s is S T (T c ) Is a temperature correction module for representing the temperature T c The temperature correction value below.
In one embodiment of the present description, for a depth of discharge correction module, when the depth of discharge is delta A When (I)>Obtaining k δ,e1 ，/>
For calendar time correction module, S t ()＝k t t, wherein,obtaining k t . For the average remaining power correction module,/>When the average residual electric quantity is sigma A In the time-course of which the first and second contact surfaces,from t, calculate k σ Wherein σ is ref For reference average, if the average remaining power of the reference curve is taken as a reference problem, sigma ref ＝vg(soc cycle )。
In the case of the temperature correction module,when the temperature is T A When (I)> Obtaining k T . Wherein (1)>For reference temperature, if the temperature of the reference curve is taken as reference problem
In one embodiment of the present specification, f d,1 ＝[S δ (δ)+ t (t c )]S σ (σ)S T (T c ). Further correcting the attenuation curve by acquiring correction parameters in the process of the cyclic charge-discharge attenuation experiment, wherein the correction parameters comprise k T 、k σ 、k t 、k δ,e1 And k δ,e2 . Wherein k is T Is a temperature correction parameter; σ correcting parameters for the average residual electric quantity; t correcting parameters for calendar time; k (k) δ,e1 And k δ,e2 And correcting the parameters for the depth of discharge.
And S3, combining the attenuation reference curve of the same type of battery with the correction parameters, determining the contribution degree of each influence factor through a contribution degree quantization model, and providing a rationalized battery use suggestion for a user.
S31, processing the attenuation reference curve and the correction parameters of the same type of battery by using a rain flow counting method, and determining the state value of each influence factor under each cycle;
the state value of each influence factor includes a state value of a depth of discharge, a state value of a duration, a state value of an average remaining capacity, and a state value of an average temperature. The state value of the depth of discharge and the state value of the average residual electric quantity reflect the approximate use condition of the battery, and the state value of the average temperature reflects the approximate temperature condition of the battery used by the user. The state value of the duration reflects the duration of use of the battery.
In one embodiment of the present description, a relationship between the number of cycles and the state value of each influence factor is obtained using a rain flow count method. Specifically, by splitting into different rain stream circulation times, recording the end time t of each circulation, and obtaining charge and discharge state data of each circulation of the battery, wherein the charge and discharge state data comprise: a state value of a depth of discharge per cycle, a state value of a duration of each cycle, a state value of an average remaining charge per cycle, and a state value of an average temperature per cycle. Each time a rain flow count is generated, the first time point from the rain flow count is designated as the rain flow count time.
Considering that the battery with the same model has different charging and discharging states corresponding to different battery cells, in order to further improve the quantitative analysis precision of the contribution degree, a plurality of charging behaviors meeting preset conditions are selected first, and then the battery is split.
In one embodiment of the present description, the influencing factor (also referred to as the load factor) represents the different states or levels of vibration stress, which is one of the important factors in determining fatigue life. The state value of the influence factor refers to the magnitude or intensity of the vibration stress in a specific stress state. In one embodiment of the present invention, the depth of discharge, duration, average temperature, and average remaining power are referred to, and according to this current cycle of rain, the number of current cycles of rain and the magnitude of each stress value of the current cycle of rain are counted. More specifically, the state values of the influence factors include: the current rain flow cycle times and the corresponding depth of discharge of the current rain flow cycle; the current rain flow circulation times and the duration corresponding to the current rain flow circulation time; the number of current rain flow circulation times and the average temperature corresponding to the current rain flow circulation; the current rain flow cycle times and the average residual quantity corresponding to the current rain flow cycle.
S32, determining a target value corresponding to each influence factor according to the state value of each influence factor under each cycle;
according to f d,1 According to the state value of each influencing factor in each cycle, find the n-th i In the secondary cycle, a target value corresponding to each influence factor is obtained. The target values of the influence factors include: target value of depth of discharge, target value of duration, remainderThe target value of the electric quantity and the target value of the temperature.
In connection with the derivation of the electrochemical model, in one embodiment of the present description, the target value is a partial derivative. At this time, the liquid crystal display device,
obtaining partial derivative of depth of discharge as target value of depth of discharge according to state value of depth of discharge in each cycle
From the state value of the duration in each cycle, the partial derivative of the duration is obtained as the target value of the duration
Obtaining partial derivative of the residual electric quantity as target value of the residual electric quantity according to the state value of the residual electric quantity in each cycle
Obtaining the partial derivative of the temperature as the target value of the temperature according to the state value of the temperature in each cycle
S33, determining the contribution degree of each influence factor according to the target value corresponding to each influence factor;
the sum of the target value of the depth of discharge, the target value of the duration, the target value of the remaining power and the target value of the temperature is recorded as a target total value;
then, the contribution degree of the depth of discharge is the ratio of the target value of the depth of discharge to the target total value; the contribution of the duration is the ratio of the target value of the duration to the target total value; the contribution degree of the residual electric quantity is the ratio of the target value of the residual electric quantity to the target total value; the contribution of temperature is the ratio of the target value of temperature to the target total value.
In one embodiment of the present specification, the depth of discharge is the same asThe donation degree is as follows:
contribution degree of duration:
contribution degree of remaining capacity:
contribution degree of temperature:
in this specification, a reasonable quantization mode of each factor is found in the complex attenuation function so as to provide a reasonable use suggestion for a user. In addition, the contribution degree in the specification is obtained according to calculation in real time, so that the practicability is improved.
S34, calling the use behaviors of the user, and providing personalized use suggestions for the user by combining the contribution degree of each influence factor.
In the present specification, the degree of influence of each influence factor is determined by a quantitative analysis of each influence factor. And calling the use behaviors of the user, combining the contribution degree of each influence factor, judging whether the improper use behaviors exist or not, and judging the duration time of the improper use behaviors so as to provide personalized use suggestions for the use of the battery, suggesting the user to adjust the use behaviors, guaranteeing the safe operation of related equipment, and slowing down the reduction rate of the health state of the battery so as to ensure that the service life of the battery is longer.
Fig. 2 is a schematic diagram of a system for quantitatively analyzing a state of health of a battery according to an embodiment of the present disclosure, where the system includes:
the obtaining module 210 is configured to obtain an original parameter and a correction parameter of the same type of battery, where the correction parameter includes correction values of different influencing factors;
the correction module 220 is configured to obtain an attenuation reference curve of the same type of battery according to the original parameter and the correction parameter;
and the analysis module 230 is configured to combine the attenuation reference curve of the same type of battery with the correction parameters, determine the contribution degree of each influence factor through a contribution degree quantization model, and provide a reasonable battery use suggestion for the user.
Optionally, the correction module 220 includes:
the fitting sub-module is used for fitting the attenuation curve of the same type of battery according to the original parameters;
an optimizing sub-module, configured to optimize the attenuation curve;
and the correction sub-module is used for correcting the optimized attenuation curve based on the correction parameters to obtain the attenuation reference curve of the battery with the same model.
Optionally, the analysis module 230 includes:
the processing submodule is used for processing the attenuation reference curve of the same type of battery and the correction parameters by using a rain flow counting method and determining the state value of each influence factor under each cycle;
the target value determining submodule is used for determining a target value corresponding to each influence factor according to the state value of each influence factor under each cycle;
and the contribution degree determining submodule is used for determining the contribution degree of each influence factor according to the target value corresponding to each influence factor.
Optionally, the influence factor includes: depth of discharge, duration of charge and discharge, remaining capacity, and temperature.
Optionally, the target value determining submodule includes:
a first target value determining unit for obtaining a partial derivative of the depth of discharge as a target value of the depth of discharge according to the state value of the depth of discharge in each cycle;
a second target value determining unit for obtaining a partial derivative of the duration as a target value of the duration based on the state value of the duration in each cycle;
a third target value determining unit for obtaining a partial derivative of the remaining power as a target value of the remaining power according to the state value of the remaining power in each cycle;
and a fourth target value determining unit for obtaining a partial derivative of the temperature as a target value of the temperature based on the state value of the temperature in each cycle.
Optionally, the contribution determining submodule includes:
recording the sum of the target value of the depth of discharge, the target value of the duration, the target value of the remaining power and the target value of the temperature as a target total value;
a first contribution determining unit, configured to determine a contribution of a depth of discharge as a ratio of a target value of the depth of discharge to the target total value;
a second contribution determining unit, configured to determine a contribution of a duration as a ratio of a target value of the duration to the target total value;
a third contribution determining unit, configured to determine a contribution of a remaining power as a ratio of a target value of the remaining power to the target total value;
and a fourth contribution determining unit, configured to determine a contribution of temperature as a ratio of a target value of the temperature to the target total value.
Optionally, the method further comprises:
and the personalized suggestion module is used for invoking the use behaviors of the user and providing personalized use suggestions for the user by combining the contribution degree of each influence factor.
The functions of the system according to the embodiments of the present invention have been described in the above-described method embodiments, so that the descriptions of the embodiments are not exhaustive, and reference may be made to the related descriptions in the foregoing embodiments, which are not repeated herein.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The following describes an embodiment of an electronic device of the present invention, which may be regarded as a physical form of implementation for the above-described embodiment of the method and apparatus of the present invention. Details described in relation to the embodiments of the electronic device of the present invention should be considered as additions to the embodiments of the method or apparatus described above; for details not disclosed in the embodiments of the electronic device of the present invention, reference may be made to the above-described method or apparatus embodiments.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The computer device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of embodiments of the invention.
As shown in fig. 3, the computer device 300 of the exemplary embodiment is in the form of a general-purpose data processing device. Components of computer device 300 may include, but are not limited to: at least one processor 310, at least one memory 320, a network interface 330, a display unit 340, an input component 350, and the like.
The memory 320 stores a computer readable program, which may be a source program or code that is read only. The program may be executed by the processor element 310, such that the processor 310 performs the steps of various embodiments of the present invention. For example, the processor 310 may perform the steps shown in FIG. 1.
The memory 320 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) and/or cache memory units, and may further include Read Only Memory (ROM). The memory 320 may also include a program/utility having a set (at least one) of program modules including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Also included is a bus (not shown) that may be representative of one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The computer device 300 may also communicate with one or more external devices (e.g., keyboard, display, network device, bluetooth device, etc.), such that a user can interact with the computer device 300 via the external devices, and/or such that the computer device 300 can communicate with one or more other data processing devices (e.g., router, modem, etc.). Such communication may occur through network interface 330, and may also occur through a network adapter to one or more networks, such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet. The network adapter may communicate with other modules of the computer device 300 via a bus. It should be appreciated that although not shown, other hardware and/or software modules may be used in computer device 300, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
FIG. 4 is a schematic diagram of one embodiment of a computer readable medium of the present invention. As shown in fig. 4, the computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. The computer program, when executed by one or more data processing apparatus, enables the computer readable medium to carry out the above-described methods of the present invention.
From the above description of embodiments, those skilled in the art will readily appreciate that the exemplary embodiments described herein may be implemented in software, or may be implemented in software in combination with necessary hardware. Thus, the technical solution according to the embodiments of the present invention may be embodied in the form of a software product, which may be stored in a computer readable storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, comprising several instructions to cause a data processing device (may be a personal computer, a server, or a network device, etc.) to perform the above-described method according to the present invention.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
In summary, the present invention may be implemented in a method, apparatus, electronic device, or computer readable medium that executes a computer program. Some or all of the functions of the present invention may be implemented in practice using a general purpose data processing device such as a microprocessor or Digital Signal Processor (DSP).
The above-described specific embodiments further describe the objects, technical solutions and advantageous effects of the present invention in detail, and it should be understood that the present invention is not inherently related to any particular computer, virtual device or electronic apparatus, and various general-purpose devices may also implement the present invention. The foregoing description of the embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (10)
1. A method for quantitatively analyzing a state of health of a battery, comprising:
acquiring original parameters and correction parameters of the same type of battery, wherein the correction parameters comprise correction values of different influence factors;
obtaining an attenuation reference curve of the same type of battery according to the original parameters and the correction parameters;
and determining the contribution degree of each influence factor through a contribution degree quantization model by combining the attenuation reference curve of the same type of battery and the correction parameters, and providing a reasonable battery use suggestion for a user.
2. The method for quantitatively analyzing the state of health of a battery according to claim 1, wherein said obtaining the attenuation reference curve of the same type of battery based on the original parameters and the corrected parameters comprises:
fitting an attenuation curve of the same type of battery according to the original parameters;
optimizing the attenuation curve;
and correcting the optimized attenuation curve based on the correction parameters to obtain the attenuation reference curve of the battery with the same type.
3. The method for quantitatively analyzing the state of health of a battery according to claim 1, wherein said determining the contribution of each of said influencing factors by a contribution quantization model by combining the attenuation reference curve of said battery of the same type and said correction parameters, provides a user with a rational battery use recommendation, comprising:
processing the attenuation reference curve and the correction parameters of the same type of battery by using a rain flow counting method, and determining the state value of each influence factor under each cycle;
determining a target value corresponding to each influence factor according to the state value of each influence factor under each cycle;
and determining the contribution degree of each influence factor according to the target value corresponding to each influence factor.
4. The method of quantitative analysis of battery state of health according to claim 1, wherein the influencing factors include: depth of discharge, duration of charge and discharge, remaining capacity, and temperature.
5. The method of claim 4, wherein determining the target value corresponding to each of the influence factors according to the state value of each of the influence factors comprises:
obtaining a partial derivative of the depth of discharge as a target value of the depth of discharge according to the state value of the depth of discharge in each cycle;
obtaining a partial derivative of the duration as a target value of the duration according to the state value of the duration in each cycle;
obtaining a partial derivative of the residual electric quantity according to the state value of the residual electric quantity in each cycle, and taking the partial derivative as a target value of the residual electric quantity;
from the state value of the temperature in each cycle, the partial derivative of the temperature is obtained as the target value of the temperature.
6. The method of claim 5, wherein determining the contribution of each influence factor according to the target value corresponding to each influence factor comprises:
recording the sum of the target value of the depth of discharge, the target value of the duration, the target value of the remaining power and the target value of the temperature as a target total value;
the contribution degree of the depth of discharge is the ratio of the target value of the depth of discharge to the target total value;
the contribution of duration is the ratio of the target value of the duration to the target total value;
the contribution degree of the residual electric quantity is the ratio of the target value of the residual electric quantity to the target total value;
the contribution of the temperature is the ratio of the target value of the temperature to the target total value.
7. The method of quantitative analysis of battery state of health of claim 1, further comprising:
and calling the use behaviors of the user, and providing personalized use suggestions for the user by combining the contribution degree of each influence factor.
8. A quantitative analysis system for battery state of health, comprising:
the acquisition module is used for acquiring original parameters and correction parameters of the same type of battery, wherein the correction parameters comprise correction values of different influence factors;
the correction module is used for obtaining the attenuation reference curve of the same type of battery according to the original parameters and the correction parameters;
and the analysis module is used for combining the attenuation reference curve of the same-type battery with the correction parameters, determining the contribution degree of each influence factor through a contribution degree quantization model, and providing a reasonable battery use suggestion for a user.
9. An electronic device, wherein the electronic device comprises:
a processor; the method comprises the steps of,
a memory storing computer executable instructions that, when executed, cause the processor to perform the method of any of claims 1-7.
10. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-7.
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