CN108802621A - A kind of method and system that the state of battery is assessed based on big data - Google Patents
A kind of method and system that the state of battery is assessed based on big data Download PDFInfo
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- CN108802621A CN108802621A CN201810433117.7A CN201810433117A CN108802621A CN 108802621 A CN108802621 A CN 108802621A CN 201810433117 A CN201810433117 A CN 201810433117A CN 108802621 A CN108802621 A CN 108802621A
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Abstract
The invention discloses a kind of method and system assessed the state of battery based on big data, including：Historical data and corresponding status data to the parameter of retired battery are analyzed, and determine that the predetermined threshold value of each parameter of battery, the historical data include：Factory data and operation data；The predetermined threshold value of the real time data of the parameter of battery and corresponding parameter is compared, obtains comparison result, and warning information is sent according to the comparison result；The latest data of the parameter of battery and preset evaluation condition are compared, the condition evaluation results of battery are obtained.The present invention is based on the historical data of lithium battery Life cycle and real time datas, quickly the state of battery can be assessed, it is sorted according to assessment result, and the case where abnormal parameters such as the running temperature of early warning in time, internal resistance, voltage, for echelon theoretical direction and technical support are provided using the performance evaluation of power battery, sifting sort, safe and reliable use.
Description
Technical field
The present invention relates to the echelons of lithium battery to utilize technical field, and being based on big data pair more particularly, to one kind
The method and system that the state of battery is assessed.
Background technology
In recent years, have benefited from the support on policy that government constantly raises the price, the environmental consciousness of society is gradually reinforced, each place
The Large scale construction of charging infrastructure, and ongoing effort of the domestic a collection of enterprise in terms of technical research and product promotion,
China's ev industry enters the fast-developing phase.At present electric vehicle mainly with power battery as a source of power, battery exists
During vehicle-mounted use, performance gradually fails.After the capacity of power battery declines to a certain extent, in order to ensure electric vehicle
Power performance, the safety during continual mileage and use, it must just be replaced.Along with the rule of electric vehicle
It is retired from electric vehicle will to have a large amount of power battery in the coming years for modelling application.It is used 5 years with commercial car power battery
Retired afterwards, passenger car power battery uses estimated later for 8 years, the GWh epoch that will welcome retired power battery in 2019,2022
Retired power battery is up to the magnitude of 10GWh, and the quantity of annual retired power battery can be also continuously increased later.With
Ev industry development is swift and violent, it is contemplated that the year two thousand twenty totality sales volume is up to 2,000,000, fast-developing ev industry face
The Tough questions faced are exactly the processing to waste and old power battery, if dealt with improperly, will cause environmental pollution and old and useless battery
Shelve the safety problem brought.
Currently, realizing echelon using difficulty is still had, main performance is the shortage of historical data；Secondary use battery
Performance, safety do not have specific standards that can follow；Battery health assess difficulty it is big, it is difficult to judge inside battery security risk whether
In the presence of.
Therefore, it is necessary to a kind of methods assessed the state of battery based on big data, comment the state of battery
Estimate.
Invention content
The present invention proposes a kind of method and system assessed the state of battery based on big data, how right to solve
The state of battery is assessed to realize the problem of echelon utilizes.
To solve the above-mentioned problems, according to an aspect of the present invention, a kind of state based on big data to battery is provided
The method assessed, which is characterized in that the method includes：
Historical data and corresponding status data to the parameter of retired battery are analyzed, and determine each parameter of battery
Predetermined threshold value, the historical data includes：Factory data and operation data；
The predetermined threshold value of the real time data of the parameter of battery and corresponding parameter is compared, comparison result is obtained, and
Warning information is sent according to the comparison result；
The latest data of the parameter of battery and preset evaluation condition are compared, the status assessment knot of battery is obtained
Fruit.
Preferably, wherein the parameter includes one or more of following data：Usage time moves back fortune time, open circuit
Voltage, active volume, heat generation characteristic and internal resistance.
Preferably, wherein the warning information includes one or more of following manner：Signal lamp, early warning mail, police
Report sound and smog.
Preferably, wherein the latest data and preset evaluation condition of the parameter by battery are compared, electricity is obtained
The condition evaluation results in pond, including：
The usage time of battery and default usage time threshold value are compared, usage time assessment result is obtained；
The newest internal resistance data of battery and default internal resistance threshold value are compared, internal resistance assessment result is obtained；
The newest battery capacity data of battery and preset battery capacity data are compared, battery capacity assessment is obtained
As a result；
The newest heat generation characteristic data of battery and default heat generation characteristic data are compared, heat generation characteristic assessment is obtained
As a result；
It is commented according to preset usage time assessment result, internal resistance assessment result, battery capacity assessment result and heat generation characteristic
Estimate the weight shared by result to be weighted, obtains the condition evaluation results of battery.
Preferably, wherein the method further includes：
The usage time assessment result, internal resistance assessment result, battery capacity assessment result and heat generation characteristic are assessed and tied
Fruit is normalized.
Preferably, wherein the method further includes：
The condition evaluation results of battery and preset separation condition are compared,
If condition evaluation results are unsatisfactory for retired condition, it is healthy battery to mark the battery；
If condition evaluation results meet retired condition but are unsatisfactory for the condition of scrapping, it is retired battery to mark the battery；
If condition evaluation results satisfaction scraps condition, it is waste battery to mark the battery.
According to another aspect of the present invention, it provides and a kind of is to what the state of battery was assessed based on big data
System, which is characterized in that the system comprises：
The predetermined threshold value determination unit of parameter, the historical data for the parameter to retired battery and corresponding status data
It is analyzed, determines that the predetermined threshold value of each parameter of battery, the historical data include：Factory data and operation data；
Prewarning unit is obtained for the predetermined threshold value of the real time data of the parameter of battery and corresponding parameter to be compared
Comparison result is taken, and warning information is sent according to the comparison result；
Condition evaluation results acquiring unit, for comparing the latest data of the parameter of battery and preset evaluation condition
Compared with obtaining the condition evaluation results of battery.
Preferably, wherein the parameter includes one or more of following data：Usage time moves back fortune time, open circuit
Voltage, active volume, heat generation characteristic and internal resistance.
Preferably, wherein the warning information includes one or more of following manner：Signal lamp, early warning mail, police
Report sound and smog.
Preferably, it wherein the condition evaluation results acquiring unit, by the latest data of the parameter of battery and preset comments
Estimate condition to be compared, obtains the condition evaluation results of battery, including：
Usage time assessment result acquisition module, for comparing the usage time of battery and default usage time threshold value
Compared with acquisition usage time assessment result；
Internal resistance assessment result acquisition module, for comparing the newest internal resistance data of battery and default internal resistance threshold value
Compared with acquisition internal resistance assessment result；
Battery capacity assessment result acquisition module is used for the newest battery capacity data and preset battery capacity of battery
Data are compared, and obtain battery capacity assessment result；
Heat generation characteristic assessment result acquisition module is used for the newest heat generation characteristic data of battery and default heat generation characteristic
Data are compared, and obtain heat generation characteristic assessment result；
Condition evaluation results acquisition module, for according to preset usage time assessment result, internal resistance assessment result, battery
Weight shared by Capacity Assessment result and heat generation characteristic assessment result is weighted, and obtains the condition evaluation results of battery.
Preferably, wherein the system also includes：
Normalized module, for the usage time assessment result, internal resistance assessment result, battery capacity assessment knot
Fruit and heat generation characteristic assessment result are normalized.
Preferably, wherein the system also includes：
Classification marker unit, for the condition evaluation results of battery and preset separation condition to be compared,
If condition evaluation results are unsatisfactory for retired condition, it is healthy battery to mark the battery；
If condition evaluation results meet retired condition but are unsatisfactory for the condition of scrapping, it is retired battery to mark the battery；
If condition evaluation results satisfaction scraps condition, it is waste battery to mark the battery.
The present invention provides a kind of method and system assessed the state of battery based on big data, to retired battery
Parameter historical data and corresponding status data analyzed, determine the predetermined threshold value of each parameter of battery；By battery
The real time data of parameter and the predetermined threshold value of corresponding parameter be compared, obtain comparison result, and according to it is described relatively tie
Fruit sends warning information；The latest data of the parameter of battery and preset evaluation condition are compared, the state of battery is obtained
Assessment result.The present invention is based on the historical data of lithium battery Life cycle and real time datas, can be quickly to the state of battery
It is assessed, is sorted according to assessment result, and the feelings of the abnormal parameters such as the running temperature of early warning in time, internal resistance, voltage
Condition provides theoretical direction and technology branch for echelon using the performance evaluation of power battery, sifting sort, safe and reliable use
Support.
Description of the drawings
By reference to the following drawings, exemplary embodiments of the present invention can be more fully understood by：
Fig. 1 is the stream according to the method 100 of embodiment of the present invention assessed the state of battery based on big data
Cheng Tu；And
Fig. 2 is the knot according to the system 200 of embodiment of the present invention assessed the state of battery based on big data
Structure schematic diagram.
Specific implementation mode
Exemplary embodiments of the present invention are introduced referring now to the drawings, however, the present invention can use many different shapes
Formula is implemented, and is not limited to the embodiment described herein, and to provide these embodiments be to disclose at large and fully
The present invention, and fully convey the scope of the present invention to person of ordinary skill in the field.Show for what is be illustrated in the accompanying drawings
Term in example property embodiment is not limitation of the invention.In the accompanying drawings, identical cells/elements use identical attached
Icon is remembered.
Unless otherwise indicated, term (including scientific and technical terminology) used herein has person of ordinary skill in the field
It is common to understand meaning.Further it will be understood that with the term that usually used dictionary limits, should be understood as and its
The context of related field has consistent meaning, and is not construed as Utopian or too formal meaning.
Fig. 1 is the stream according to the method 100 of embodiment of the present invention assessed the state of battery based on big data
Cheng Tu.As shown in Figure 1, the method assessed the state of battery based on big data that embodiments of the present invention provide, right
The historical data of the parameter of retired battery and corresponding status data are analyzed, and determine the default threshold of each parameter of battery
Value；The predetermined threshold value of the real time data of the parameter of battery and corresponding parameter is compared, obtains comparison result, and according to institute
It states comparison result and sends warning information；The latest data of the parameter of battery and preset evaluation condition are compared, electricity is obtained
The condition evaluation results in pond.The present invention is based on the historical data of lithium battery Life cycle and real time datas, can be quickly to electricity
The state in pond is assessed, and is sorted according to assessment result, and the parameters such as the running temperature of early warning in time, internal resistance, voltage
Abnormal situation, for echelon using the performance evaluation of power battery, sifting sort, safe and reliable use provide theoretical direction and
Technical support.The method 100 assessed to the state of battery based on big data that embodiments of the present invention provide is from step
Start at 101, in step 101
Historical data and corresponding status data to the parameter of retired battery are analyzed, and determine each parameter of battery
Predetermined threshold value, the historical data includes：Factory data and operation data.
Preferably, wherein the parameter includes one or more of following data：Usage time moves back fortune time, open circuit
Voltage, active volume, heat generation characteristic and internal resistance.
Preferably, the predetermined threshold value of the real time data of the parameter of battery and corresponding parameter is compared in step 102,
Comparison result is obtained, and warning information is sent according to the comparison result.
Preferably, wherein the warning information includes one or more of following manner：Signal lamp, early warning mail, police
Report sound and smog.
Power battery since production line get off just identified provided with unique ID and receive monitoring, including power battery
It produces, sells and uses, safeguard, recycling, echelon utilizes and each link such as regeneration.The manufacturer of battery, electronic vapour
It man of depot, electric vehicle owner and moves back fortune battery owner and is producing, selling and uying and safeguarding and echelon utilizes respectively
Battery parameter is acquired in the process, is identified and is corresponded with battery ID, and uploads in Cell Evaluation system.In the production phase, system
Make quotient acquisition and uploads of battery material, production firm, battery size, the date of manufacture, active volume (or energy), heat generation characteristic,
The parameters such as internal resistance；During operation and maintenance, when electric vehicle producer, electric vehicle owner acquisition and uploads of battery use
Between, active volume (or energy), heat generation characteristic, the parameters such as internal resistance；When moving back fortune, when retired battery owner acquires and uploads retired
Between, open-circuit voltage, active volume (or energy), heat generation characteristic, the parameters such as internal resistance.
In embodiments of the present invention, the operation history data based on battery, using big data analysis means, according to electricity
The parameter in pond is screened and is assessed, and provides warning information in time for the battery for occurring deteriorating, and feed back to battery user,
And it reminds and is overhauled in time.Wherein, the step of lithium battery pre-alarm includes：To the historical data and correspondence of the parameter of retired battery
Status data analyzed, determine the predetermined threshold value of each parameter of battery；Real time data based on parameter judges whether to surpass
Cross the predetermined threshold value of corresponding parameter；The predetermined threshold value of corresponding parameter if more than, then send warning information to user.Its
In, the real-time parameter includes but not limited to usage time, moves back and transport time, open-circuit voltage, active volume (or energy), fever spy
Property, internal resistance.The warning information can be one kind or more in the modes such as signal lamp, early warning mail, alarm song, the smog of flicker
The combination of kind.
Preferably, the latest data of the parameter of battery and preset evaluation condition are compared in step 103, obtain electricity
The condition evaluation results in pond.
Preferably, wherein the latest data and preset evaluation condition of the parameter by battery are compared, electricity is obtained
The condition evaluation results in pond, including：
The usage time of battery and default usage time threshold value are compared, usage time assessment result is obtained；
The newest internal resistance data of battery and default internal resistance threshold value are compared, internal resistance assessment result is obtained；
The newest battery capacity data of battery and preset battery capacity data are compared, battery capacity assessment is obtained
As a result；
The newest heat generation characteristic data of battery and default heat generation characteristic data are compared, heat generation characteristic assessment is obtained
As a result；
It is commented according to preset usage time assessment result, internal resistance assessment result, battery capacity assessment result and heat generation characteristic
Estimate the weight shared by result to be weighted, obtains the condition evaluation results of battery.
Preferably, wherein the method further includes：
The usage time assessment result, internal resistance assessment result, battery capacity assessment result and heat generation characteristic are assessed and tied
Fruit is normalized.
Preferably, wherein the method further includes：
The condition evaluation results of battery and preset separation condition are compared,
If condition evaluation results are unsatisfactory for retired condition, it is healthy battery to mark the battery；
If condition evaluation results meet retired condition but are unsatisfactory for the condition of scrapping, it is retired battery to mark the battery；
If condition evaluation results satisfaction scraps condition, it is waste battery to mark the battery.
For the battery that can not be continuing with, then echelon utilization is carried out, the factory data based on battery and operation data, soon
Speed is assessed and is sorted to battery, while to subsequently data being used to carry out tracking and monitoring.Lithium battery rapid evaluation and sorting
Step, including：The historical data of lithium battery is obtained, the historical data includes factory data and operation data；Based on history number
The newest data in carry out status assessment to lithium battery, and wherein status assessment can be based on the capacity, interior in historical data
One or more combinations in the parameters such as resistance, self-discharge rate, AC impedance.Status assessment includes：By the usage time of battery
It is compared with default usage time threshold value, obtains usage time assessment result；By the newest internal resistance data of battery and preset
Internal resistance threshold value is compared, and obtains internal resistance assessment result；By the newest battery capacity data and preset battery capacity number of battery
According to being compared, battery capacity assessment result is obtained；By the newest heat generation characteristic data of battery and default heat generation characteristic data
It is compared, obtains heat generation characteristic assessment result；The usage time assessment result, internal resistance assessment result, battery capacity are commented
Estimate result and heat generation characteristic assessment result is normalized；According to preset usage time assessment result, internal resistance assessment knot
Weight shared by fruit, battery capacity assessment result and heat generation characteristic assessment result is weighted, and obtains the status assessment knot of battery
Fruit.Finally, sorting schemes are obtained according to assessment result, to reaching the battery of retired condition, screened as retired battery；To reaching report
The battery of abandoned tender standard, is screened as waste battery；To reach the battery of retired condition, labeled as healthy battery, and continuing to monitor.
Fig. 2 is the knot according to the system 200 of embodiment of the present invention assessed the state of battery based on big data
Structure schematic diagram.As shown in Fig. 2, the system assessed the state of battery based on big data that embodiments of the present invention provide
200 include：Predetermined threshold value determination unit 201, prewarning unit 202 and the condition evaluation results acquiring unit 203 of parameter.
Preferably, in the predetermined threshold value determination unit 201 of the parameter, historical data to the parameter of retired battery and right
The status data answered is analyzed, and determines that the predetermined threshold value of each parameter of battery, the historical data include：Factory data and
Operation data.
Preferably, wherein the parameter includes one or more of following data：Usage time moves back fortune time, open circuit
Voltage, active volume, heat generation characteristic and internal resistance.
Preferably, in early warning list Unit 202, by the default threshold of the real time data of the parameter of battery and corresponding parameter
Value is compared, and obtains comparison result, and send warning information according to the comparison result.
Preferably, wherein the warning information includes one or more of following manner：Signal lamp, early warning mail, police
Report sound and smog.
Preferably, it in the condition evaluation results acquiring unit 203, by the latest data of the parameter of battery and preset comments
Estimate condition to be compared, obtains the condition evaluation results of battery.
Preferably, it wherein the condition evaluation results acquiring unit, by the latest data of the parameter of battery and preset comments
Estimate condition to be compared, obtains the condition evaluation results of battery, including：Usage time assessment result acquisition module, being used for will be electric
The usage time in pond and default usage time threshold value are compared, and obtain usage time assessment result；Internal resistance assessment result obtains
Module obtains internal resistance assessment result for being compared the newest internal resistance data of battery and default internal resistance threshold value；Battery holds
Assessment result acquisition module is measured, for the newest battery capacity data of battery and preset battery capacity data to be compared,
Obtain battery capacity assessment result；Heat generation characteristic assessment result acquisition module is used for the newest heat generation characteristic data of battery
It is compared with default heat generation characteristic data, obtains heat generation characteristic assessment result；Condition evaluation results acquisition module is used for basis
Shared by preset usage time assessment result, internal resistance assessment result, battery capacity assessment result and heat generation characteristic assessment result
Weight is weighted, and obtains the condition evaluation results of battery.
Preferably, wherein the system also includes：Normalized module, for the usage time assessment result,
Internal resistance assessment result, battery capacity assessment result and heat generation characteristic assessment result are normalized.
Preferably, wherein the system also includes：Classification marker unit 204, for by the condition evaluation results of battery and
Preset separation condition is compared, if condition evaluation results are unsatisfactory for retired condition, it is healthy battery to mark the battery；
If condition evaluation results meet retired condition but are unsatisfactory for the condition of scrapping, it is retired battery to mark the battery；If state is commented
Estimate result satisfaction and scrap condition, then it is waste battery to mark the battery.
The system 200 assessed to the state of battery based on big data of the embodiment of the present invention is another with the present invention's
The method 100 of a embodiment assessed the state of battery based on big data is corresponding, and details are not described herein.
The present invention is described by reference to a small amount of embodiment.However, it is known in those skilled in the art, as
Defined by subsidiary Patent right requirement, in addition to the present invention other embodiments disclosed above are equally fallen the present invention's
In range.
Normally, all terms used in the claims are all solved according to them in the common meaning of technical field
It releases, unless in addition clearly being defined wherein.All references " one/described/be somebody's turn to do [device, component etc.] " are all opened ground
It is construed at least one of described device, component etc. example, unless otherwise expressly specified.Any method disclosed herein
Step need not all be run with disclosed accurate sequence, unless explicitly stated otherwise.
Claims (12)
1. a kind of method assessed the state of battery based on big data, which is characterized in that the method includes：
Historical data and corresponding status data to the parameter of retired battery are analyzed, and determine the pre- of each parameter of battery
If threshold value, the historical data includes：Factory data and operation data；
The predetermined threshold value of the real time data of the parameter of battery and corresponding parameter is compared, acquisition comparison result, and according to
The comparison result sends warning information；
The latest data of the parameter of battery and preset evaluation condition are compared, the condition evaluation results of battery are obtained.
2. according to the method described in claim 1, it is characterized in that, the parameter includes one or more of following data：
Usage time moves back fortune time, open-circuit voltage, active volume, heat generation characteristic and internal resistance.
3. according to the method described in claim 1, it is characterized in that, the warning information includes one or more in following manner
It is a：Signal lamp, early warning mail, alarm song and smog.
4. according to the method described in claim 1, it is characterized in that, the latest data of the parameter by battery and preset commenting
Estimate condition to be compared, obtains the condition evaluation results of battery, including：
The usage time of battery and default usage time threshold value are compared, usage time assessment result is obtained；
The newest internal resistance data of battery and default internal resistance threshold value are compared, internal resistance assessment result is obtained；
The newest battery capacity data of battery and preset battery capacity data are compared, battery capacity assessment knot is obtained
Fruit；
The newest heat generation characteristic data of battery and default heat generation characteristic data are compared, heat generation characteristic assessment knot is obtained
Fruit；
It is assessed and is tied according to preset usage time assessment result, internal resistance assessment result, battery capacity assessment result and heat generation characteristic
Weight shared by fruit is weighted, and obtains the condition evaluation results of battery.
5. according to the method described in claim 4, it is characterized in that, the method further includes：
To the usage time assessment result, internal resistance assessment result, battery capacity assessment result and heat generation characteristic assessment result into
Row normalized.
6. according to the method described in claim 1, it is characterized in that, the method further includes：
The condition evaluation results of battery and preset separation condition are compared,
If condition evaluation results are unsatisfactory for retired condition, it is healthy battery to mark the battery；
If condition evaluation results meet retired condition but are unsatisfactory for the condition of scrapping, it is retired battery to mark the battery；
If condition evaluation results satisfaction scraps condition, it is waste battery to mark the battery.
7. a kind of system assessed the state of battery based on big data, which is characterized in that the system comprises：
The predetermined threshold value determination unit of parameter is carried out for the historical data of the parameter to retired battery and corresponding status data
Analysis, determines that the predetermined threshold value of each parameter of battery, the historical data include：Factory data and operation data；
Prewarning unit obtains ratio for the predetermined threshold value of the real time data of the parameter of battery and corresponding parameter to be compared
Compared with as a result, and sending warning information according to the comparison result；
Condition evaluation results acquiring unit, for the latest data of the parameter of battery and preset evaluation condition to be compared,
Obtain the condition evaluation results of battery.
8. system according to claim 7, which is characterized in that the parameter includes one or more of following data：
Usage time moves back fortune time, open-circuit voltage, active volume, heat generation characteristic and internal resistance.
9. system according to claim 7, which is characterized in that the warning information includes one or more in following manner
It is a：Signal lamp, early warning mail, alarm song and smog.
10. system according to claim 7, which is characterized in that the condition evaluation results acquiring unit, by the ginseng of battery
Several latest datas and preset evaluation condition are compared, and obtain the condition evaluation results of battery, including：
Usage time assessment result acquisition module, for the usage time of battery and default usage time threshold value to be compared,
Obtain usage time assessment result；
Internal resistance assessment result acquisition module is obtained for being compared the newest internal resistance data of battery and default internal resistance threshold value
Take internal resistance assessment result；
Battery capacity assessment result acquisition module is used for the newest battery capacity data and preset battery capacity data of battery
It is compared, obtains battery capacity assessment result；
Heat generation characteristic assessment result acquisition module is used for the newest heat generation characteristic data of battery and default heat generation characteristic data
It is compared, obtains heat generation characteristic assessment result；
Condition evaluation results acquisition module, for according to preset usage time assessment result, internal resistance assessment result, battery capacity
Weight shared by assessment result and heat generation characteristic assessment result is weighted, and obtains the condition evaluation results of battery.
11. system according to claim 10, which is characterized in that the system also includes：
Normalized module, for the usage time assessment result, internal resistance assessment result, battery capacity assessment result and
Heat generation characteristic assessment result is normalized.
12. system according to claim 7, which is characterized in that the system also includes：
Classification marker unit, for the condition evaluation results of battery and preset separation condition to be compared,
If condition evaluation results are unsatisfactory for retired condition, it is healthy battery to mark the battery；
If condition evaluation results meet retired condition but are unsatisfactory for the condition of scrapping, it is retired battery to mark the battery；
If condition evaluation results satisfaction scraps condition, it is waste battery to mark the battery.
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| CN109657809A (en) * | 2018-11-30 | 2019-04-19 | 蔚来汽车有限公司 | Retired battery group stage division, system and retired battery Gradient utilization method |
| CN109901072A (en) * | 2019-03-19 | 2019-06-18 | 上海毅信环保科技有限公司 | Retired battery parameter detection method based on historical data and laboratory test data |
| CN110045297A (en) * | 2019-04-25 | 2019-07-23 | 中国电力科学研究院有限公司 | Battery parameter capturing analysis method |
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