CN109239607A - Battery detection method, system and battery analysis device - Google Patents
Battery detection method, system and battery analysis device Download PDFInfo
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- CN109239607A CN109239607A CN201810776850.9A CN201810776850A CN109239607A CN 109239607 A CN109239607 A CN 109239607A CN 201810776850 A CN201810776850 A CN 201810776850A CN 109239607 A CN109239607 A CN 109239607A
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- magnetic susceptibility
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/72—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables
- G01N27/82—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating magnetic variables for investigating the presence of flaws
Abstract
This application discloses a kind of battery detection methods, this method comprises: obtaining the test magnetic susceptibility distributed intelligence of battery to be detected；Test magnetic susceptibility distributed intelligence is analyzed, obtains the testing result of battery to be detected, wherein testing result includes state-of-charge and/or physical imperfection situation.Scheme provided herein is, it can be achieved that non-destructive testing to battery.Present invention also provides a kind of battery analysis device and battery testing systems.
Description
Technical field
This application involves battery detecting fields, more particularly to a kind of battery detection method, system and battery analysis device.
Background technique
With the fast development of electronic industry, for battery demand it is increasing.To guarantee various electronic products
It can be realized and power with security and stability, be very important for the detection of battery.So in recent years, by initial in battery industry
The detection for not focusing on battery quality, to detection, the analogue simulation of battery etc. of battery electrochemical work station.But existing row
The industry of detection in to(for) battery, which still lacks, can be achieved real-time, quantification and the detection method lossless to battery.
Summary of the invention
The application is mainly solving the technical problems that provide a kind of battery detection method, system and battery analysis device, energy
Enough non-destructive testings realized to battery.
In order to solve the above technical problems, the technical solution that the application uses is: providing a kind of battery detection method, institute
The method of stating includes:
Obtain the test magnetic susceptibility distributed intelligence of battery to be detected；
The test magnetic susceptibility distributed intelligence is analyzed, obtains the testing result of the battery to be detected, wherein institute
Stating testing result includes state-of-charge and/or physical imperfection situation.
In order to solve the above technical problems, another technical solution that the application uses is to provide a kind of battery analysis device,
The analytical equipment includes: memory and processor, and the memory is for storing program data, and the processor is for running
Described program data are to execute method as described above.
In order to solve the above technical problems, another technical solution that the application uses is to provide a kind of battery testing system,
The system comprises: battery check device, and the battery analysis device being connect with battery check device；
The battery check device is used to detect the magnetic susceptibility of the battery to be detected to obtain test magnetic susceptibility distribution letter
Breath, and export to the battery analysis device；
The battery analysis device is battery analysis device as described above, for being exported based on the battery check device
The test magnetic susceptibility distributed intelligence, further analyze the testing result of the battery to be detected.
Above scheme, by obtaining the test magnetic susceptibility distributed intelligence of battery to be detected, and to accessed test magnetic
Rate obtains battery to be detected state-of-charge and/or physical imperfection after further analyzing be not, it can be achieved that damaging inside battery
In the case where structure, rapidly and accurately detects the state-of-charge of battery and/or whether there is or not related physical defect, realize battery
Non-destructive testing.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of one embodiment of battery detection method of the application；
Fig. 2 is a kind of flow diagram of another embodiment of battery detection method of the application；
Fig. 3 is a kind of flow diagram of the another embodiment of battery detection method of the application；
Fig. 4 is a kind of flow diagram of the another embodiment of battery detection method of the application；
Fig. 5 is a kind of flow diagram of battery detection method another embodiment of the application；
Fig. 6 is battery discharge procedure to be detected measured in a kind of one embodiment of battery detection method of the application in level
Magnetic susceptibility distribution field figure effect diagram on direction；
Fig. 7 is battery discharge procedure to be detected measured in a kind of one embodiment of battery detection method of the application vertical
Magnetic susceptibility distribution field figure effect diagram on direction；
Fig. 8 is a kind of structural schematic diagram of one embodiment of battery analysis device of the application；
Fig. 9 is a kind of structural schematic diagram of one embodiment of battery testing system of the application；
Figure 10 is a kind of structural schematic diagram of one embodiment of storage medium of the application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description.It is understood that specific embodiment described herein is only used for explaining the application, rather than to the limit of the application
It is fixed.Based on the embodiment in the application, obtained by those of ordinary skill in the art without making creative efforts
Every other embodiment, shall fall in the protection scope of this application.
In the description of the present application, the meaning of " plurality " is at least two, such as two, three etc., unless otherwise clearly having
The restriction of body.In addition, term " includes " and " having " and their any deformations, it is intended that cover and non-exclusive include.Example
The process, method, system, product or equipment for such as containing a series of steps or units are not limited to listed step or list
Member, but optionally further comprising the step of not listing or unit, or optionally further comprising for these process, methods, product
Or other step or units that equipment is intrinsic.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can combine in the case of no contradiction with other embodiments.
It referring to Figure 1, is a kind of one embodiment flow diagram of battery detection method of the application.Wherein, step is specifically included
Rapid S110 to step S120.
S110: the test magnetic susceptibility distributed intelligence of battery to be detected is obtained.
Wherein, magnetic susceptibility is to characterize the physical quantity of magnetic medium attribute, is that (substance or material can be described as magnetic Jie for substance or material
Matter) ratio of the intensity of magnetization and magnetic field strength under magnetic fields.The intensity of magnetization, which refers to, is placed on one for a certain substance or material
In magnetic field, by the magnetism that can show certain feature under the action of magnetic field.And since magnetic susceptibility has material dependence, by electricity
The distribution of pond internal material, battery use process are influenced and are changed.That is battery is during material oxidation reduction reaction, magnetization
Rate can change, therefore can accurately can recognize the state-of-charge of battery by getting the magnetic susceptibility distributed intelligence of battery
And it whether there is failure.
The battery to be detected illustrated in the application is detected battery or waits battery to be detected, herein and unlimited
The type of fixed battery to be detected.Test magnetic susceptibility distributed intelligence specifically refers to that battery magnetic susceptibility distribution situation to be detected can be reacted
Information, specifically can be magnetic susceptibility field pattern or detailed magnetic susceptibility statistical graph etc..
In the present example, the mode for getting the test magnetic susceptibility distributed intelligence of battery to be detected specifically can wrap
It includes: being obtained in real time by battery check device or arrived by communicating indirect gain with other equipment, and battery check device
It includes at least: magnetic resonance device.
It in other embodiments, can be by before step S110 obtains the test magnetic susceptibility distributed intelligence of battery to be detected
The charging to battery to be detected is completed according to preset law of electric charges and stands preset time, to eliminate relaxation effect；Either press
To the electric discharge completed to battery to be detected and preset time is stood according to preset rules, to eliminate relaxation effect.In other words, it tests
Magnetic susceptibility distributed intelligence is when completing charging according to preset charged rule in battery to be detected or presetting according to preset rules electric discharge
Between recklessly, and stand what detection after preset time obtained.Wherein, preset law of electric charges is the rule of battery to be detected, meet to
The requirement of the voltage rating electric current of battery is detected, followed preset rules of discharging equally are the electric discharge rule according to battery to be detected
Then.Standing preset time is the relaxation effect in order to eliminate battery, and the duration specifically stood is not done herein according to actual needs
Any restriction.
S120: test magnetic susceptibility distributed intelligence is analyzed, the testing result of battery to be detected is obtained.
It, can be further to test magnetic susceptibility obtained after getting the test magnetic susceptibility distributed intelligence of battery to be detected
Distributed intelligence is analyzed to obtain the testing result of battery to be detected.Wherein, dividing to test magnetic susceptibility distributed intelligence
It, can be further combined with the basic parameter of battery to be detected when analysis.And referenced battery basic parameter include: battery specification,
Battery brand, the production time of battery etc..Wherein, test magnetic susceptibility distributed intelligence includes: magnetic susceptibility distribution field figure；Detection knot
Fruit includes state-of-charge and/or physical imperfection situation.And it is further, the state-of-charge of battery refers to the current charged energy of battery
Power refers to the ratio of the residual capacity after battery is lain idle using a period of time or for a long time and the capacity of its fully charged state
Value, commonly using percentage indicates；Battery physical imperfection specifically includes: electrode folds, electrode missing, there are fragments etc., certainly not
It is limited to this.
In above-described embodiment, by obtaining the test magnetic susceptibility distributed intelligence of battery to be detected, further test is magnetized
After rate distributed intelligence is analysed in depth, to obtain the state-of-charge and/or physical imperfection of battery to be detected, in the process
It realizes the non-destructive testing to battery, guarantees the quality of battery.
Further, in one embodiment, step S120 further comprises: by test magnetic susceptibility distributed intelligence and referring to magnetic
Rate distributed intelligence is compared, and obtains the testing result of battery to be detected by comparison result.
Wherein, the distributed intelligence of reference magnetization rate is pre-stored in battery testing system, is to detect each brand in advance
The middle resulting magnetic susceptibility distributed intelligence of parameters battery.It should be noted that ginseng of each battery under a certain state-of-charge
To examine magnetic susceptibility distributed intelligence be after repeatedly testing the battery of preset quantity, and binding isotherm value acquires after taking mean value.
It, can be further by the state-of-charge of the distributed intelligence of reference magnetization rate and the battery after getting reference magnetization rate distributed intelligence
(in various embodiments, state-of-charge further comprises whether carrying capacity, carrying capacity are normal etc.), relevant parameter, brand, life
It produces the associations such as time to save, when detecting and/or analyzing unknown state-of-charge or the unknown battery with the presence or absence of physical imperfection
Call reference.So having corresponding reference magnetization rate distribution letter when in order to test the battery of different brands and different parameters
Breath can be compared with resulting test magnetic susceptibility is tested, and parameters under each brand can be preserved in battery testing system
Magnetic susceptibility distributed intelligence of the battery under different state-of-charges, and state-of-charge can be segmented as far as possible, with will pass through can be with
Obtain magnetic susceptibility distributed intelligence of the battery under each state-of-charge.
It should be noted that due in technical solution provided by the present application, when being detected to battery to be detected, due to can
Different amounts is judged with the magnetic susceptibility distributed intelligence being based respectively on horizontally and vertically, so provided herein
In technical solution, when reference magnetization rate distributed intelligence pre-saves, it can magnetize according to horizontally and vertically upper two class
Rate distributed intelligence is saved, and can be quickly distributed according to the magnetic susceptibility distributed intelligence in required direction or magnetic susceptibility when facilitating calling
Field figure carries out lookup calling.
And the position saved for reference magnetization rate distributed intelligence does not limit, concrete foundation is actual to be needed to carry out
Setting.In one embodiment, the distributed intelligence of reference magnetization rate can be stored in battery analysis device.In another embodiment,
When battery analysis function is integrated to battery check device, i.e., when battery check device has the function of analysis battery, with reference to magnetic
Rate distributed intelligence is also possible to be stored in battery check device, and concrete foundation is actual to be set, and does not do herein
It limits.In another embodiment, the distributed intelligence of reference magnetization rate refers to the magnetic susceptibility distribution letter for being stored in network-side or cloud
Breath, it is possible to understand that, in the present example, battery testing system has the function of being communicated with external equipment, for handing over
Change data information.
Fig. 2 is referred to, Fig. 2 is the flow diagram of the application battery detection method in one embodiment.Reality shown in Fig. 2
Applying testing result in example includes state-of-charge, and the test magnetic susceptibility distributed intelligence of acquired battery to be detected includes: to be detected
The the first test magnetic susceptibility distribution field figure of battery in the horizontal direction.
Above-mentioned steps: test magnetic susceptibility distributed intelligence is compared with reference magnetization rate distributed intelligence, and is tied by comparing
The testing result that fruit obtains battery to be detected further comprises step S221 to S223.
S221: it is found from presupposed information and the characteristic parameter of battery to be detected matched in the horizontal direction multiple
One reference magnetization rate distribution field figure.
Wherein, presupposed information includes: at least partly reference magnetization rate distributed intelligence in reference magnetization rate distributed intelligence.Electricity
The characteristic parameter in pond includes: battery brand, battery parameter etc. (such as battery voltage rating, rated current, capacity).Magnetic susceptibility
Distribution field figure is the direct figure for showing magnetic susceptibility distributed intelligence, and indicates different size of magnetization according to the depth difference of color
Rate, to embody the situation of change of magnetic susceptibility.And the first reference magnetization rate distribution field figure refer to the brand of battery to be detected with
And parameter matched magnetic susceptibility field distribution field figure, the first magnetic susceptibility distribution field figure include magnetic of the battery under each state-of-charge
Rate distribution field figure, thus quantity be it is multiple, respectively correspond the quantity of the state-of-charge of battery.
As described above, the reference magnetization rate distributed intelligence in technical solution provided herein, in battery testing system
Corresponding battery brand and battery parameter association save, therefore in the test magnetic susceptibility distribution letter for getting battery to be detected
After breath, it can find from presupposed information according further to the brand and parameter of battery to be detected and join with the feature of battery to be detected
The matched multiple first reference magnetization rate distribution field figures in the horizontal direction of number.Only when the characteristic parameter of battery to be detected with
When battery characteristics parameter corresponding to reference magnetization rate distribution field figure is consistent, i.e., battery brand is identical, battery other are basic
When parameter is also identical, current reference magnetization rate distribution field figure not the first reference magnetization rate distribution field figure can be determined.
It should be understood that while obtaining the test magnetic susceptibility distributed intelligence of battery to be detected or after step silo
Or before, the brand and parameter of battery to be detected can be got, is herein referred to as the brand of battery to be detected and parameter to be checked
Survey the characteristic parameter of battery.In one embodiment, the brand and parameter of battery to be detected are inputted by testing staff.Another
When having identification function in embodiment, in battery testing system, the brand and parameter of battery can be by the identification components in system certainly
Dynamic identification, and after carrying out check and correction confirmation by testing staff, battery brand and parameter obtained can be based further on and obtained therewith
Match multiple first reference magnetization rate distributed intelligences in the horizontal direction.
S222: it from multiple first reference magnetization rate distribution field figures, finds with the first test magnetic susceptibility distribution field figure most
Matched first reference magnetization rate distribution field figure.
After getting multiple first reference magnetization rate distribution field figures, further multiple first obtained in the step S221
It finds in reference magnetization rate distribution field figure and is distributed with the first most matched first reference magnetization rate of test magnetic susceptibility distribution field figure
Field figure.In the present example, the magnetic susceptibility distributed intelligence reflected in the first reference magnetization rate distribution field figure and detection institute
When the magnetic susceptibility distributed intelligence reflected in the first test magnetic susceptibility distribution field figure obtained is identical, the first reference magnetization at this time is determined
Rate distribution field figure is matched with the first test magnetic susceptibility distribution field figure.
S223: the lotus of battery to be detected is determined using the corresponding carrying capacity of most matched first reference magnetization rate distribution field figure
Electricity condition.
Reference magnetization rate distributed intelligence in the application be corresponding battery charge state (in the present example
State-of-charge can be known as carrying capacity) association preservation, thus it is most matched with the first test magnetic susceptibility distribution field figure finding
It, can be further right using resulting most matched first reference magnetization rate distribution field figure after first reference magnetization rate distribution field figure
The carrying capacity answered determines the state-of-charge of battery to be detected.As corresponding to most matched first reference magnetization rate distribution field figure
Battery brand, parameter are matched with battery to be detected, and the magnetic susceptibility of corresponding magnetic susceptibility distributed intelligence and battery to be detected point
Cloth information also matches, and because magnetic susceptibility distributed intelligence can accurate response battery state-of-charge, therefore battery to be detected is charged
State corresponds to carrying capacity corresponding to resulting most matched first reference magnetization rate distribution field figure.
It should be understood that in other embodiments, it, can be multiple in order to more accurately determine the state-of-charge of battery to be detected
Obtain it is identical in the state of battery to be detected the first test magnetic susceptibility distribution field figure, and obtain and resulting multiple first respectively
The matched first reference magnetization rate distribution field figure of magnetic susceptibility distribution field figure is tested, is then based on obtained multiple first with reference to magnetic
Carrying capacity corresponding to rate distribution field figure determines the state-of-charge of battery to be detected.Wherein it is possible to seek multiple carrying capacities
Mean value can also seek most values of multiple carrying capacities, can be more quasi- to obtain the carrying capacity of more accurate battery to be detected
Really obtain the state-of-charge of battery to be detected.
Further, in one embodiment, state-of-charge includes the remaining capacity of battery to be detected and/or charged capacity is
It is no normal.I.e. by battery detection method provided herein, the state-of-charge for detecting battery and/or charged appearance may be implemented
It whether normal measures.Wherein, the remaining capacity of battery to be detected refers to the available electricity of the current residual of battery.Battery to be detected
Whether the total charged capacity whether charged capacity is just referring to present battery belongs to normal value, if meets parameter current battery
Charged capacity setting.Specifically, the elaboration seen below.
In one embodiment, above-mentioned steps S223 further comprises: will most matched first reference magnetization rate distribution field figure
Remaining carrying capacity of the corresponding carrying capacity as battery to be detected.As noted previously, as the magnetization of the carrying capacity and battery of battery
Rate has one-to-one relationship, therefore can be directly by determining that the magnetic susceptibility distribution field figure of battery determines the surplus of battery to be detected
Remaining carrying capacity.Similarly, mean value can be taken to determine the remaining carrying capacity of battery to be detected by repeated detection, so that is surveyed is charged
It measures more accurate.
In another embodiment, above-mentioned steps S223 further comprises: based on resulting carrying capacity and default carrying capacity
Threshold value is compared, and whether the charged capacity to judge battery to be detected is normal.Wherein, presetting carrying capacity threshold value is by preparatory
To the carrying capacity of the battery being calculated after a large amount of battery detectings under various regimes, the carrying capacity of the battery such as newly to dispatch from the factory is held
The carrying capacity etc. of continuous electric discharge n hours.Wherein, default power threshold can be a range, be also possible to a minimum value.Work as detection
When the carrying capacity of gained battery to be detected is less than default power threshold small value, then judge the charged capacity of battery to be detected not just
Often, charged capacity that is on the contrary then judging battery to be detected is normal or good.
Further, Fig. 3 is referred to, is flow diagram of the application in another embodiment.Embodiment shown in Fig. 3
In, the testing result of battery to be detected is health status, that is, whether healthy, in various embodiments if detecting battery to be detected
It is properly termed as detecting battery to be detected with the presence or absence of physical imperfection.In the present example, acquired test magnetic susceptibility distribution
Information includes: the second test magnetic susceptibility distribution field figure of battery to be detected in vertical direction.
Fig. 3 is referred to, in the present example, step will test magnetic susceptibility distributed intelligence and the distributed intelligence of reference magnetization rate
It is compared, and further comprises by the testing result that comparison result obtains battery to be detected: S321 to S322.
S321: from the second reference magnetization rate distributed intelligence obtained in presupposed information in vertical direction.
Presupposed information refers to reference magnetization rate distributed intelligence.Second reference magnetization rate distributed intelligence refers to battery brand, ginseng
Number matches and is the reference magnetization rate distributed intelligence embodied in vertical direction, specifically can be magnetic susceptibility distribution field figure, when
So magnetic susceptibility distributed intelligence is also possible to be shown otherwise in other embodiments.Since object is occurring for same battery
When managing defect, since then corresponding magnetic susceptibility distribution is not also identical for physical imperfection difference, it can specifically show as having different
Magnetic susceptibility distribution field figure.So the second reference magnetization rate distributed intelligence in vertical direction acquired in step S321 can be
It is multiple, correspond to the either different degrees of physical imperfection of different physical imperfections.
S322: the second magnetic susceptibility distributed intelligence is compared with the second reference magnetization rate distributed intelligence, and is tied by comparing
Fruit obtains the physical imperfection situation of battery to be detected.
Second magnetic susceptibility distributed intelligence refers to the battery to be detected got by battery check device in vertical direction
Magnetic susceptibility distributed intelligence, specifically can be the magnetic susceptibility field pattern of battery to be detected in vertical direction.Wherein, physics lacks
Fall into include: electrode fold, electrode missing and addition at least one of fragment, certainly, due in actual production, battery institute
Existing physical imperfection is diversified, therefore does not limit technical solution provided herein only herein and can detecte and is above-mentioned
Physical imperfection.
Fig. 4 is referred to, is a kind of flow diagram of method of battery detecting of the application in another embodiment.Current
In embodiment, magnetic susceptibility of the battery to be detected during charge or discharge can be obtained based on technical solution provided herein
Distribution situation, and the charging result for further analyzing battery according to the resulting magnetic susceptibility of detection or electric discharge are as a result, either obtain
The corresponding relationship of battery charge amount and battery magnetic susceptibility.And since battery inherently has initial magnetic susceptibility, it such as needs more
The magnetic susceptibility information for accurately obtaining battery obtains first then before the test magnetic susceptibility distributed intelligence for obtaining battery to be detected
Take the reference magnetization rate distributed intelligence of battery to be detected.Schematic diagram is it is found that battery detecting side provided herein as shown in Figure 4
In method, before step S110 obtains the test magnetic susceptibility distributed intelligence of battery to be detected, method provided herein is also wrapped
It includes:
S401: it obtains and is distributed letter using reference magnetization rate of the magnetic resonance device to the battery to be detected before charging or before electric discharge
Breath.
Wherein, the number of the carrying capacity of the distributed intelligence of reference magnetization rate and battery, cell oxidation reduction reaction is unrelated, as long as
Battery is put into magnetic resonance device and (does not need to access battery into any circuit), can be read from magnetic resonance device and obtain base
Quasi- magnetic susceptibility distributed intelligence.In the present example, reference magnetization rate is related with battery magnetic properties itself, is embodied in base
The variation of 1-2ppm can be responded out in the influence of battery magnetic characteristic itself.
S410: the test magnetic susceptibility distributed intelligence of battery to be detected is obtained.
S420: test magnetic susceptibility distributed intelligence is analyzed, the testing result of battery to be detected is obtained.It is real shown in Fig. 4
It applies in example, the S110 of step S410 and step S420 respectively and in Fig. 1 is identical as S120, specifically corresponding implementation referring to Figure 1
The elaboration of example.
Wherein, it should be noted that be that the change of magnetic susceptibility (could also say that based on magnetic susceptibility distributed intelligence in the application
Change) state of charge information and physical imperfection situation for obtaining battery to be detected are further analyzed, therefore as in one embodiment
Reference magnetization rate distributed intelligence is further obtained, then battery analysis device can be set and united in resulting magnetic susceptibility distributed intelligence
One subtracts the corresponding value of reference magnetization rate distributed intelligence.If in one embodiment, not obtaining reference magnetization rate distributed intelligence,
Since the application is that the distributed intelligence (being also referred to as the variation of magnetic susceptibility) based on magnetic susceptibility judges state-of-charge and object
Defect is managed, therefore has no effect on the accurate judgement to battery charge state and physical imperfection.
It is corresponding, Fig. 5 is referred to, is a kind of flow diagram of battery detection method of the application in another embodiment.
It is found that can also further be obtained before the test magnetic susceptibility distributed intelligence for obtaining battery to be detected in embodiment as shown in Figure 4
The reference magnetization rate distributed intelligence of battery to be detected is taken, then in the present example, step S110 obtains the survey of battery to be detected
Trying magnetic susceptibility distributed intelligence then includes:
S501: the test magnetic susceptibility point initial to the battery to be detected after charging or after electric discharge using magnetic resonance device is obtained
Cloth information.
In one embodiment, it after battery to be detected is completed to charge and stand preset time, obtains and utilizes magnetic resonance device
The test magnetic susceptibility distributed intelligence initial to the battery to be detected after charging.Certainly in other embodiments, step S501 can also
To be to obtain the initial test magnetic susceptibility distributed intelligence of battery to be detected during the charging process.Again or battery to be detected according to
After preset time of either discharging after preset rules electric discharge, obtain initial to the battery to be detected after charging using magnetic resonance device
Test magnetic susceptibility distributed intelligence.
S502: the magnetic susceptibility correspondence in initial testing magnetic susceptibility distributed intelligence is subtracted in reference magnetization rate distributed intelligence
Magnetic susceptibility obtains the final test magnetic susceptibility distributed intelligence of battery to be detected.
In one embodiment, be by battery check device automatically in acquired initial test magnetic susceptibility distributed intelligence
The corresponding magnetic susceptibility subtracted in reference magnetization rate distributed intelligence, obtains the final test magnetic susceptibility distributed intelligence of battery to be detected.
It is possible thereby to learn, the final test magnetic susceptibility distributed intelligence of battery to be detected is to eliminate in reference magnetization rate distributed intelligence
The information of magnetic susceptibility.
By above-mentioned elaboration it is found that battery detection method provided herein be mainly based upon magnetic susceptibility variation judge it is to be checked
The state-of-charge of battery is surveyed, therefore the magnetic susceptibility whether subtracted in reference magnetization rate distributed intelligence has no effect on to battery charge state
Judgement and battery physical imperfection judgement.Therefore in other embodiments, it can also be chosen whether manually to need by user
The corresponding magnetic susceptibility subtracted in reference magnetization rate distributed intelligence of magnetic susceptibility in initial testing magnetic susceptibility distributed intelligence.
Fig. 6 is referred to, is in an embodiment, using technical solution provided herein to a battery discharge mistake to be detected
When journey tests and analyzes, the effect diagram of measured battery to be detected magnetic susceptibility distribution field figure in the horizontal direction.It can by Fig. 6
Know, with increasing for battery discharge capacity, i.e., by the figure in Fig. 6 1. sequentially into figure 5., the magnetic susceptibility of the battery to be detected is gradually
It reduces, therefore combines the one-to-one relationship of battery charge amount and magnetic susceptibility and the state-of-charge of accurate judgement battery.
For whether there is physical imperfection situation using technical solution detection battery provided herein, Fig. 7 is referred to.
Fig. 7 be a kind of battery detection method of the application in one embodiment, measured battery to be detected is in vertical direction (battery electrode
Direction) on magnetic susceptibility distribution field figure effect diagram.
Specifically, 1. and being 5. battery there is no the magnetic susceptibility distribution field figures under physical imperfection in Fig. 7, i.e., this is to be checked
Magnetic susceptibility when physical imperfection is not present in battery is surveyed to be evenly distributed and be closer to zero.2. and 6. in Fig. 7 is the electricity in battery
Magnetic susceptibility distribution field figure when pole folds, it can thus be appreciated that magnetic susceptibility, which is presented, hangs down when electrode folding occurs for the battery to be detected
The upward one end Abnormal Phenomena of Magnetic Susceptibility Curves of histogram is high, and middle section then can be abnormal small.3. 7. figure in Fig. 7 is that the electrode of battery is lacked with figure
Magnetic susceptibility distribution field figure in the case where mistake, as seen from the figure, the magnetic susceptibility of battery at this time in vertical direction it is relatively uniform and
It is all larger than zero.4. and be 8. in Fig. 7 in the battery to be detected there are foreign matter (be not belonging to the moieties of battery composition, such as it is broken
Piece) when the magnetic susceptibility distribution field figure that measures, as seen from the figure, there is the area Liang Ge in vertical direction in the magnetic susceptibility distribution of battery at this time
Domain is very close to zero.
It should be noted that Fig. 6 and magnetic susceptibility distribution field figure shown in Fig. 7 are only to battery a certain in a certain embodiment
Acquired results schematic diagram is tested, in actual test, specific battery is corresponding with reference to reference magnetization rate distribution letter according to its
Subject to breath and actually measured magnetic susceptibility distributed intelligence, no longer it is described in detail one by one herein.
Fig. 8 is referred to, is a kind of structural schematic diagram of battery analysis device 800 of the application in one embodiment.Battery point
Analysis apparatus 800 includes: memory 802 and processor 801.Wherein, memory 802 is for storing program data, 802 institute of memory
The program data of storage, which is performed, can be achieved battery detection method as shown in Figures 1 to 5 and each embodiment.Processor
801 program data for being stored in run memory 802, to execute such as figure 1 above to method and its correspondence illustrated in Figure 5
Each embodiment.
In one embodiment, battery analysis device 800 provided herein includes: personal computer.It should be understood that
Battery analysis device 800 provided herein is not only limited to personal computer, can also be that other any can be executed
The terminal device of program data corresponding to Fig. 1 to Fig. 7.
Fig. 9 is referred to, is a kind of structural schematic diagram of battery testing system 900 of the application in one embodiment.The application
Provided battery testing system includes: battery check device 901, and the battery analysis connecting with battery check device 901
Device 902.
Wherein, battery check device 901 is used to detect the magnetic susceptibility of battery to be detected to obtain test magnetic susceptibility distribution letter
Breath, and export to battery analysis device 902.
Battery analysis device 902 is device as shown in Figure 8, the test magnetic for being exported based on battery check device 901
The testing result of battery to be detected is further analyzed in rate distributed intelligence.It should be understood that in other embodiments, battery inspection
Surveying device 901 and battery analysis device 902 can integrate to a device, realize battery detecting function and battery analysis function
Same device can be integrated to.
Further, in other embodiments, battery testing system 900 removes battery check device 901, battery analysis device
It further include battery charging and discharging equipment (not shown) outside 902.Battery charging and discharging equipment is used to be charged or be put for battery to be detected
Electricity is charged according to the rule set as battery to be detected with realizing, or according to default rule to battery to be detected
Discharge treatment is carried out so that battery to be detected is converted from original state-of-charge to a certain state-of-charge.
Referring to Figure 10, the application also provides a kind of storage medium 1000.The storage medium 1000 is stored with program data
1001, which, which is performed, realizes side described in battery detection method as described above and each embodiment
Method.Specifically, the above-mentioned storage medium 1000 with store function can be memory, personal computer, server, network and set
Standby or USB flash disk etc. is one such.
The foregoing is merely presently filed embodiments, are not intended to limit the scope of the patents of the application, all to utilize this
Equivalent structure or equivalent flow shift made by application specification and accompanying drawing content, it is relevant to be applied directly or indirectly in other
Technical field similarly includes in the scope of patent protection of the application.
Claims (10)
1. a kind of battery detection method, which is characterized in that the described method includes:
Obtain the test magnetic susceptibility distributed intelligence of battery to be detected；
The test magnetic susceptibility distributed intelligence is analyzed, obtains the testing result of the battery to be detected, wherein the inspection
Surveying result includes state-of-charge and/or physical imperfection situation.
2. battery detection method according to claim 1, which is characterized in that described to the test magnetic susceptibility distributed intelligence
It is analyzed, obtains the testing result of the battery to be detected, comprising:
The test magnetic susceptibility distributed intelligence is compared with reference magnetization rate distributed intelligence, and is obtained by comparison result described
The testing result of battery to be detected.
3. battery detection method according to claim 2, the testing result includes state-of-charge, the test magnetic susceptibility
Distributed intelligence includes: the first test magnetic susceptibility distribution field figure of the battery to be detected in the horizontal direction；
It is described that the test magnetic susceptibility distributed intelligence is compared with reference magnetization rate distributed intelligence, and obtained by comparison result
The step of testing result of the battery to be detected includes:
It is found from presupposed information and matched multiple first ginsengs in the horizontal direction of the characteristic parameter of the battery to be detected
Examine magnetic susceptibility distribution field figure；
From the multiple first reference magnetization rate distribution field figure, find with the first test magnetic susceptibility distribution field figure most
The the first reference magnetization rate distribution field figure matched；
The lotus of the battery to be detected is determined using the corresponding carrying capacity of the most matched first reference magnetization rate distribution field figure
Electricity condition.
4. battery detection method according to claim 3, the state-of-charge includes the remaining carrying capacity of battery to be detected
And/or whether charged capacity is normal；
It is described that the corresponding carrying capacity of the most matched first reference magnetization rate distribution field figure is utilized to determine the battery to be detected
State-of-charge, comprising:
Using the corresponding carrying capacity of the most matched first reference magnetization rate distribution field figure as the residue of the battery to be detected
Carrying capacity；And/or
It is compared based on the resulting carrying capacity with default carrying capacity threshold value, to judge the charged appearance of the battery to be detected
It whether normal measures.
5. battery detection method according to claim 2, which is characterized in that the testing result includes health status；Institute
Stating test magnetic susceptibility distributed intelligence includes: the second test magnetic susceptibility distribution field figure of the battery to be detected in vertical direction；
It is described that the test magnetic susceptibility distributed intelligence is compared with reference magnetization rate distributed intelligence, and obtained by comparison result
The step of testing result of the battery to be detected, specifically includes:
From the second reference magnetization rate distributed intelligence obtained in presupposed information in vertical direction；
The second magnetic susceptibility distributed intelligence is compared with the second reference magnetization rate distributed intelligence, and by comparison result
Obtain the physical imperfection situation of the battery to be detected；
Wherein, the physical imperfection includes: at least one of electrode folding, electrode missing and addition fragment.
6. battery detection method according to claim 1, which is characterized in that in the test magnetic for obtaining battery to be detected
Before rate distributed intelligence, the method also includes:
Obtain the reference magnetization rate distributed intelligence using magnetic resonance device to the battery to be detected before charging or before electric discharge；
The test magnetic susceptibility distributed intelligence for obtaining battery to be detected includes:
It obtains and is distributed letter using the magnetic resonance device test magnetic susceptibility initial to the battery to be detected after charging or after electric discharge
Breath；
Magnetic susceptibility correspondence in the initial testing magnetic susceptibility distributed intelligence is subtracted in the reference magnetization rate distributed intelligence
Magnetic susceptibility obtains the final test magnetic susceptibility distributed intelligence of the battery to be detected.
7. battery detection method according to claim 1, which is characterized in that
The test magnetic susceptibility distributed intelligence is to complete to charge and stand default by preset charged rule in the battery to be detected
Detection obtains after being discharged after time or according to preset rules.
8. a kind of battery analysis device, which is characterized in that the analytical equipment includes: memory and processor, the memory
For storing program data, the processor is for running described program data to execute as described in any one of claim 1 to 7
Method.
9. a kind of battery testing system, which is characterized in that the system comprises battery check devices, and fill with battery detecting
Set the battery analysis device of connection；
The battery check device is used to detect the magnetic susceptibility of the battery to be detected to obtain test magnetic susceptibility distributed intelligence, and
It exports to the battery analysis device；
The battery analysis device is device as claimed in claim 8, the institute for being exported based on the battery check device
Test magnetic susceptibility distributed intelligence is stated, the testing result of the battery to be detected is further analyzed.
10. battery testing system according to claim 9, which is characterized in that the system also includes: battery charging and discharging is set
Standby, the battery charging and discharging equipment is used to be the battery charge or discharge to be detected.
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