CN110019137B - Battery material screening data management system and material data screening method - Google Patents
Battery material screening data management system and material data screening method Download PDFInfo
- Publication number
- CN110019137B CN110019137B CN201711468438.2A CN201711468438A CN110019137B CN 110019137 B CN110019137 B CN 110019137B CN 201711468438 A CN201711468438 A CN 201711468438A CN 110019137 B CN110019137 B CN 110019137B
- Authority
- CN
- China
- Prior art keywords
- data
- database
- screening
- electrolyte
- sample
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Secondary Cells (AREA)
Abstract
The invention relates to a battery material screening data management system and a material data screening method, wherein the battery material screening data management system comprises a material database module and a reverse search module connected with the material database module, wherein the material database module is used for storing condition data related to battery materials and corresponding detection data; the reverse search module is used for screening and obtaining required data from the material database module; the material database module comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to the condition data, and the sequence of the sample numbers is consistent with the formation sequence of each sub-database in the material database module. The management system and the screening method provided by the invention can improve the accuracy of the material screening data management system on the material screening data management, can also improve the storage rate of detection data and conditional data, and can also improve the regularity of data storage, thereby improving the speed of data query and screening.
Description
[ field of technology ]
The invention relates to the field of batteries, in particular to a battery material screening data management system and a material data screening method.
[ background Art ]
With the widespread use of batteries, there is increasing interest in the development and manufacture of high performance batteries. In order to meet the demands of the continuously developed batteries, the development speed of new batteries is also increasingly demanded. The electrolyte and the battery material are one of the main components of the battery, and are internally responsible for transferring charges between the positive electrode and the negative electrode. The performance of the electrolyte of the battery and the interface condition formed by the electrolyte and the anode and the cathode of the battery have great influence on the performance of the battery, and the electrolyte with excellent performance has requirements on the chemical stability, the electrochemical window, the conductivity parameters and the like.
In order to obtain better battery performance, the matching degree of the electrolyte and the pole piece needs to be adjusted. However, the existing research and development mode needs to detect the electrolyte one by one, the data in the detection process are scattered, and an effective data management and screening method is lacked, so that the research and development process of a new battery is severely restricted.
[ invention ]
In order to solve the problem that the existing new battery research and development lacks an effective data management and screening method, the invention provides a battery material screening data management system and a material data screening method.
The invention provides a technical scheme for solving the technical problems: a battery material screening data management system comprises a material database module and a reverse search module connected with the material database module; the material database module is used for storing condition data related to battery materials and corresponding detection data; the reverse search module is used for screening and obtaining condition data related to each element material of the battery and corresponding detection data of the condition data from the material database module according to the battery performance required finally; the material database module comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to the condition data, wherein the sequence of the sample numbers is consistent with the formation sequence of each sub-database in the material database module, and the sub-databases of the material database module comprise electrolyte components and proportion databases, anode and cathode material databases, diaphragm material databases and battery assembly databases; an ion conductivity database, an electrolyte electrochemical performance database, an anode and cathode material electrochemical performance database and a battery performance database; the battery performance database can be used for storing relevant test data obtained by performing performance test on the battery after assembling any one of electrolyte components, electrolyte proportion, anode and cathode materials and diaphragm materials to form a complete battery.
Preferably, the electrolyte composition and proportion database is used for storing the composition of the battery electrolyte and condition data related to proportion; the positive and negative electrode material database is used for storing condition data of electrolyte samples and single variable positive electrode materials or negative electrode materials combined to form a combined sample; the diaphragm material database is used for storing relevant condition data of the half battery to be tested assembled by the combined sample and a plurality of diaphragm materials; the battery assembly database is used for storing relevant condition data of battery assembly for forming the battery by arbitrarily combining and assembling the electrolyte composition and proportion database, the anode material database, the cathode material database and the diaphragm material database.
Preferably, the ion conductivity database is used for storing ion conductivity detection data related to ion conductivity testing of electrolyte samples; the electrolyte electrochemical performance database is used for storing electrochemical performance detection data related to electrochemical performance testing of electrolyte samples; the positive and negative electrode material electrochemical performance database is used for storing electrochemical performance detection data corresponding to the positive and negative electrode materials when one or two of the positive and negative electrode materials are changed; and the battery performance database is used for storing detection data of performance test of the battery after the electrolyte, the anode material, the cathode material and the diaphragm material are assembled to form the complete battery.
Preferably, the material screening data management system further comprises a data analysis module and an analysis data storage database, wherein the data analysis module is connected with the reverse search module, and is used for analyzing and processing condition data and/or detection data with analysis factors according to the analysis factors, further forming new data from analysis processing results and storing the new data into the corresponding analysis data storage database; the analysis data storage database is used for storing analysis processing results of condition data and/or detection data with the analysis factors.
The invention provides another technical scheme for solving the technical problems: a method of screening material data comprising the steps of: step S11, establishing a material database module associated with condition data and detection data; s12, inputting screening conditions, and carrying out reverse search on the material database module; the material database module comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to the condition data, and the sequence of the sample numbers is consistent with the formation sequence of each sub-database in the material database module.
Preferably, the step S11 includes the steps of: step S111, preparing a single variable in components or proportions to obtain electrolyte samples, wherein each component or proportion thereof corresponds to a sample number, numbering the samples according to a numbering rule, each component or proportion thereof corresponds to a unique sample number, and storing to form an electrolyte component and proportion database; step S112a, detecting the ion conductivity of the electrolyte sample with each sample number in step S111, and recording detection data to form an ion conductivity database corresponding to the sample number; step S112b, carrying out electrochemical performance detection on the electrolyte sample with each sample number in step S111, and recording detection data to form an electrolyte electrochemical performance database corresponding to the sample number; step S113, combining the electrolyte sample in the step S111 and the single variable positive electrode or negative electrode material to form combined samples, wherein each combined sample corresponds to a sample number so as to form a positive electrode material database and a negative electrode material database; step S114, carrying out electrochemical performance detection on the combined sample with each sample number in the step S113, and recording detection data to form an anode and cathode material electrochemical performance database corresponding to the sample number; step S115, assembling the combined sample and a plurality of diaphragm materials in the step S113 into half-cells to be tested, wherein each half-cell to be tested corresponds to a sample number so as to form a diaphragm material database; step S116, assembling the half-cells to be tested in the step S115 into the cells to be tested by a single-change packaging structure or process, wherein each cell to be tested corresponds to a sample number to form a cell assembly database; and step S117, detecting the battery performance of the half-cell to be detected of each sample number in the step S115 or the battery to be detected of each sample number in the step S116, and recording the detection data to form a battery performance database corresponding to the sample number.
Preferably, the required electrolyte samples are prepared in a high-throughput manner in the step S111, and the step S112 simultaneously performs the conductivity test on multiple groups of electrolyte samples in parallel to obtain and output the detection result of the conductivity test.
Preferably, the step S12 includes the steps of: step S121, inputting screening conditions; step S122, judging whether the screening condition input in the step S121 is more than one, if yes, proceeding to step S123, otherwise proceeding to step S124; step S123, determining the priority order of the screening conditions; step S124, obtaining corresponding data from the sub-database of the material database module based on the screening condition; step S125, selecting and combining data with earlier corresponding sequences from a plurality of sub-databases based on screening conditions, and then entering step S127; step S126, outputting a plurality of groups of corresponding data according to the screening conditions, merging or de-duplicating the plurality of groups of data, and entering step S127; and step S127, outputting the screening result.
Preferably, the screening conditions include one or more of sample number, composition or formulation condition data, anode and cathode material condition data, separator material condition data, battery assembly condition data, ion conductivity range, battery performance range, or electrochemical performance range.
Preferably, after the step S12, the method further includes the steps of: step S13, acquiring related data corresponding to a plurality of sample numbers from a material database module; step S14, setting analysis factors, analyzing the data with the analysis factors, and analyzing the analysis processing results corresponding to the sample numbers; and step S15, storing the analysis processing result and correlating the analysis processing result with the existing condition data and the sample number thereof in the material database module to form an analysis data storage database.
The material screening data management system and the material data screening method provided by the invention have the following beneficial effects:
the material screening data management system provided by the invention comprises a material database module and a reverse search module connected with the material database module, wherein the material database module further comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to condition data, and the sequence of the sample numbers is consistent with the sequence of the formation of each sub-database in the material database forming module. Based on the sub-database in the material database module and the corresponding unique sample number, the accuracy and regularity of the material screening data management system on the material screening data management can be improved.
The invention also provides a material data screening method, which comprises the steps of establishing a material database module associated with the condition data and the detection data; inputting screening conditions, and carrying out reverse search on the material database module; the material database module comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to the condition data, and the sequence of the sample numbers is consistent with the sequence of the formation of each sub-database in the material database forming module. Based on the sub-database and the corresponding unique sample number in the material database module, the accuracy of the material screening data management system on the material screening data management can be improved, the storage rate of detection data and conditional data can be improved, the regularity of data storage can be improved, and therefore the speed of data query and screening is improved.
The material screening data management system and the material screening method provided by the invention can be used for providing an explicit research direction for the research of novel electrolytes and/or novel batteries. By effectively managing electrolyte detection data, a novel battery development method can be established. The application of the electrolyte detection data management system can better define the research direction, so that the rapid development of the research of novel batteries can be promoted, and the research and development speed of high-performance batteries can be accelerated.
[ description of the drawings ]
Fig. 1 is a schematic block diagram of a material screening data management system according to a first embodiment of the present invention.
Fig. 2 is a schematic diagram of a specific module of the materials database module shown in fig. 1.
Fig. 3 is a flow chart of a material data screening method according to a second embodiment of the present invention.
Fig. 4 is a flowchart illustrating a specific step of step S11 of the material data screening method shown in fig. 3.
Fig. 5 is a schematic flow chart of steps after step S12 of the material data screening method shown in fig. 3.
Fig. 6 is a flowchart illustrating a specific step of the material data screening method step S12 shown in fig. 3.
[ detailed description ] of the invention
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, a first embodiment of the present invention provides a material screening data management system 70, which includes a material database module 71 and a reverse search module 72 connected to the material database module 71.
Wherein the material database module 71 is used for storing condition data related to battery materials and corresponding detection data thereof. The reverse search module 72 is used to screen the material database module 71 for the desired data.
In some preferred embodiments of the present invention, the material database module 71 includes a plurality of sub-databases and a plurality of unique sample numbers corresponding to the condition data, and the sample number sequence is consistent with the formation sequence of each sub-database in the material database module 71.
In some preferred embodiments of the present invention, the relationship coefficient between the detection data and the condition data is a proportional relationship between the associated detection data and the condition data.
Specifically, as shown in fig. 1, the material database module 71 includes the following databases related to condition data of battery materials:
the electrolyte composition and ratio database 711 stores condition data related to composition and ratio of the electrolyte of the battery, a single variable for each composition or ratio corresponding to an electrolyte sample, and each electrolyte sample corresponding to a unique sample number. Specifically, the electrolyte composition and ratio database 711 includes electrolyte composition and ratio thereof, electrolyte formulation condition data, and the like.
The positive and negative electrode material database 712 is configured to store electrolyte samples and single variables of positive electrode materials or negative electrode materials that are combined to form combined samples, where each combined sample corresponds to a unique sample number. Specifically, the electrolyte composition and ratio database 711 includes condition data such as positive electrode material and/or negative electrode material composition, thickness, and the like.
A separator material database 713 for storing the condition data related to the assembly of the above combined sample and a plurality of separator materials into a half cell to be tested when the electrolyte of the cell is a liquid electrolyte. Specifically, the separator material database 713 includes condition data such as the composition and thickness of the separator material.
The battery assembly database 714 is used for storing the relevant condition data of battery assembly of the battery formed by assembling any combination of the electrolyte composition and proportion database 711, the anode and cathode material database 712 and the separator material database 713. Specifically, the battery assembly database 714 includes condition data such as battery packaging process, battery assembly, etc.
The data in the above electrolyte composition and ratio database 711, positive and negative electrode material database 712, separator material database 713, and battery assembly database 714 may be used as screening conditions or screening ranges for battery compositions.
Further, in some embodiments of the present invention, as shown in fig. 2, a unique sample number is generated for each component ratio or combination in the electrolyte composition and ratio database 711, the anode and cathode material database 712, the separator material database 713, and the battery assembly database 714. Specifically, the number can be performed according to a certain number rule, and the specific number rule can be adjusted according to actual requirements, which is not limited herein.
Each set of sample numbered electrolytes corresponds to a set of ion conductivity test results and the ion conductivity test results are built into an ion conductivity database 715. The electrolyte's ion conductivity database 715 may be used to store ion conductivity data related to performance testing of the electrolyte. Specifically, the ion conductivity database 715 of the electrolyte includes detection data of electrolyte chromaticity data, electrolyte metal ion content, electrolyte (electrolyte solution) moisture content, electrolyte acidity, electrolyte ion conductivity, electrolyte electrochemical window, and the like.
The electrolyte of each set of sample numbers corresponds to a set of electrochemical performance test results and the electrochemical performance test results are built into an electrolyte electrochemical performance database 719. The electrolyte electrochemical performance database 719 may be used to store electrochemical performance corresponding to positive and negative electrode materials when one or both of the positive and negative electrode materials are changed.
The electrolyte of each group of sample numbers and the combined sample formed by the positive and negative electrode materials with single variable quantity correspond to a group of electrochemical performance test results, and the electrochemical performance test results are built into a positive and negative electrode material electrochemical performance database 716. The anode and cathode material electrochemical performance database 716 may be used to store electrochemical performance corresponding to anode and cathode materials when one or both of the anode and cathode materials are changed.
Each group of to-be-tested batteries with sample numbers corresponds to a group of battery performance test results, and a battery performance database 717 is built according to the battery performance test results, wherein the battery performance database 717 can be used for storing relevant test data obtained by performing performance test on batteries after any of electrolyte components, electrolyte proportions, anode and cathode materials and separator materials are selected for assembly to form a complete battery. Specifically, the battery performance detection result comprises detection data such as battery capacity, battery first cycle coulombic efficiency, battery multiplying power, battery cycle life, battery high-low temperature performance, battery self-discharge performance and the like.
The ion conductivity database 715, the electrolyte electrochemical performance database 719, the anode and cathode material electrochemical performance database 716, and the battery performance database 717 of the above-described electrolyte may be used as test results corresponding to the above-described screening conditions or screening orientations.
Data association storage may be achieved between the various databases in the materials database module 71 by corresponding sample numbers.
In some embodiments of the present invention, the ion conductivity database 715, the electrochemical performance database 719, the electrochemical performance database 716, and the battery performance database 717 may utilize high-throughput testing to achieve rapid acquisition of test data.
Correspondingly, both the ion conductivity database 715 and the electrolyte electrochemical performance database 719 of the electrolyte can be obtained using high-throughput conductivity detection module testing. Specifically, the conductivity test may be performed on multiple groups of electrolytes to be tested in parallel at the same time, and the conductivity test results may be output and stored to form the ion conductivity database 715 of the desired electrolyte, and the electrochemical performance test results may be output and stored to form the electrochemical performance database 719 of the desired electrolyte.
The electrochemical performance database 716 of the anode and cathode materials can also use a high-flux detection mode to detect the electrochemical performance of the corresponding anode and cathode materials.
Further, in the battery performance database 717, corresponding data can be obtained by further utilizing a battery high-flux assembly module and a battery high-flux detection module; the battery high-flux assembly module performs packaging operation on the half batteries to be tested to form a plurality of batteries to be tested; the battery high-flux detection module performs multichannel parallel performance test on a plurality of batteries to be tested. In the invention, the battery to be tested comprises one or more of a button battery, a soft package battery or a columnar battery.
In the invention, a plurality of groups of electrolytes can be simultaneously subjected to liquid preparation, pre-detection and detection on assembled batteries, and detection results are uploaded to the electrolyte detection data management system, so that a plurality of groups of detection data corresponding to the condition data can be obtained, and a plurality of reference data can be provided for parameter selection of electrolyte components and compositions in the condition data.
It will be appreciated that the databases described above for storing condition data, such as the electrolyte composition and ratio database 711, the anode and cathode material database 712, the separator material database 713, and the battery assembly database 714; and databases for storing detection data, such as an electrolyte ion conductivity database 715, an electrolyte electrochemical performance database 719, a positive and negative electrode material electrochemical performance database 716 and a battery performance database 717, are merely examples, and in practical applications, the type and association relationship of the databases in the material screening data relationship system may be adjusted in time according to practical requirements, and the above examples are merely examples and are not limiting of the present invention.
With continued reference to FIG. 1, in the present invention, the reverse search module 72 is coupled to the materials database module 71. Specifically, the specific database filtering in the reverse search module 71 may find the corresponding sample number according to the input filtering condition or filtering range, and then match the sample number to output the corresponding detection data.
As in some more specific embodiments of the invention, the reverse search module 72 may include an input list and an output list. Specifically, in the present invention, the input list may include the following: task name, creation time, operator, list of ingredients, ingredient ratio range, recipe ratio range, conductivity range, electrochemical performance range, battery performance range, etc.
And the corresponding input list may include the following: task name, creation time, operator, composition and ratio correspondence detection results, recipe ratio detection results, conductivity detection results, electrochemical performance detection results, battery performance detection results, and the like.
Further, in some specific embodiments of the present invention, the material screening data management system 70 may further include a data analysis module 73, where the data analysis module 73 is connected to the reverse search module 72, the reverse search module 72 may provide screened data to the data analysis module 73, the data analysis module 73 sets analysis factors, performs analysis processing on condition data and/or detection data having the analysis factors, and further may store new data formed by the analysis processing results and form a corresponding analysis data storage database 718 to form contents corresponding to the data in the material database module 71. Wherein the analysis includes sorting or classifying the condition data and/or the detection data having the analysis factor, or other data processing means.
Further, the data analyzed by the data analysis module 73 may be stored in the analysis data storage database 718, and the analysis data storage database 718, the electrolyte composition and ratio database 711, the anode and cathode material database 712, the separator material database 713, the battery assembly database 714, the electrolyte ion conductivity database 715, the electrolyte electrochemical performance database 719, the anode and cathode material electrochemical performance database 716, and the battery performance database 717 together form the material database module 71.
Referring to fig. 3, a second embodiment of the present invention provides a material data screening method S10, which includes the following steps:
step S11, establishing a material database module associated with condition data and detection data; a kind of electronic device with high-pressure air-conditioning system
And S12, inputting screening conditions, and performing reverse search on the material database module.
Wherein the above method is associated with the first embodiment of the present invention: the material database module comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to the condition data, and the sequence of the sample numbers is consistent with the formation sequence of each sub-database in the material database module.
Specifically, as shown in fig. 4, in the above step S11, creating a material database including the associated condition data and detection data may specifically include the steps of:
in step S111, the electrolyte samples are prepared for a single variable in components or ratios, each component or ratio thereof corresponds to a sample number, and the electrolyte components and ratios are stored to form a database.
Step S112a, performing ion conductivity detection on the electrolyte sample of each sample number in step S111, and recording detection data to form an ion conductivity database corresponding to the sample number.
Step S112b, carrying out electrochemical performance detection on the electrolyte sample with each sample number in step S111, and recording detection data to form an electrolyte electrochemical performance database corresponding to the sample number;
step S113, combining the electrolyte sample in the step S111 and the single variable positive electrode or negative electrode material to form combined samples, wherein each combined sample corresponds to a sample number so as to form a positive electrode material database and a negative electrode material database.
Step S114, carrying out electrochemical performance detection on the combined sample of each sample number in the step S113, and recording detection data to form an electrochemical performance database of the anode and cathode materials corresponding to the sample number.
And step S115, assembling the combined sample and a plurality of diaphragm materials in the step S113 into half cells to be tested, wherein each half cell to be tested corresponds to a sample number so as to form a diaphragm material database.
Step S116, assembling the half-cells to be tested in the step S115 into the cells to be tested by a single-variation packaging structure or process, wherein each cell to be tested corresponds to a sample number to form a cell assembly database. A kind of electronic device with high-pressure air-conditioning system
Step S117, detecting the battery performance of the half-cell to be detected with each sample number in the step S115 or the battery to be detected with each sample number in the step S116, and recording the detection data to form a battery performance database corresponding to the sample number.
In the above steps S111 to S117, the positive and negative electrode material database or the separator material database may be obtained, and then the electrolyte composition and ratio database and the battery assembly database may be formed. The order of steps described above is merely exemplary and is not intended to limit the present invention.
In the above steps, a unique sample number is generated for each change in the ratio or combination of the components in the electrolyte composition and ratio database 711, the anode and cathode material database 712, the separator material database 713, and the battery assembly database 714.
In some embodiments of the present invention, in order to correlate the electrolyte components and the ratios in the database, the anode and cathode material database, the separator material database, and the battery assembly database, the sample numbering rule may be that the sample numbers of the electrolyte components and the ratios are the base numbers, the sample numbers of the anode and cathode material database may be that the first feature numbers are added on the base numbers, the sample numbers of the separator material database may be further added with the second feature numbers on the base numbers+the first feature numbers, and the numbering manner is analogized. In particular, a sample number such as a battery performance database may be represented as "001-002-010-111", which is in turn represented as electrolyte composition and proportion database number-positive and negative electrode material database number-separator material database number-battery assembly database number.
In other embodiments of the invention, the order of the sample numbers is consistent with the order in which the individual sub-databases in the materials database module are formed.
Specifically, in some specific embodiments of the present invention, taking the formation of the electrolyte composition and ratio database in the step S111 as an example, the condition data and the detection data of the plurality of sets of electrolytes may be obtained by a high-throughput solution preparation and detection method, and the high-throughput electrolyte detection method specifically includes the following steps:
q11, preparing raw materials according to a preset proportioning ratio to obtain a plurality of groups of electrolyte to be tested;
and step Q12, carrying out parallel ion conductivity test on the multiple groups of prepared electrolytes to be tested, and outputting detection data of the ion conductivity test.
In some preferred embodiments of the present invention, the step Q11 may include the steps of:
step Q111, preliminarily measuring, and classifying and placing the raw materials to form a solvent to be prepared; a kind of electronic device with high-pressure air-conditioning system
Step Q112, accurately measuring and preparing liquid, and further preparing the solvent of the liquid to be prepared into an electrolyte to be tested according to preset raw material components and proportions;
in the present invention, the simultaneous testing of a plurality of groups of electrolytes to be tested may further include the steps of:
And step Q121, conducting conductivity tests on multiple groups of electrolyte samples in parallel at the same time to obtain and output detection results of the conductivity tests.
Further, taking the battery assembly database as an example, the method includes assembling the plurality of groups of half batteries to be tested obtained in the step S115 into a plurality of batteries to be tested, performing performance detection on the plurality of batteries to be tested at the same time, and outputting detection data of the battery performance test.
Referring to fig. 5, in some embodiments of the present invention, after the step S12, the method may further include the following steps:
step S13, acquiring related data corresponding to a plurality of sample numbers from a material database module;
step S14, setting analysis factors, and analyzing and processing data with the analysis factors; wherein the analysis factors comprise one or more of components, proportions, anode and cathode materials, diaphragm materials and battery assembly modes or structures thereof; the analysis processing comprises a processing method of sorting, classifying and the like.
Step S15, storing the analysis processing result and correlating the analysis processing result with the existing condition data and the sample numbers thereof in the sub-databases of the material database module to form an analysis data storage database.
Referring to fig. 6, in some embodiments of the present invention, in the step S12: inputting search conditions, and performing reverse search on the material database module may specifically include the following steps:
step S121, inputting screening conditions; wherein the screening conditions may include, but are not limited to: sample number, composition or formulation condition data, anode and cathode material condition data, separator material condition data, battery assembly condition data, ionic conductivity range, battery performance range, or electrochemical performance range.
Step S122, judging whether the screening condition input in the step S121 is more than one, if yes, proceeding to step S123, otherwise proceeding to step S124;
step S123, determining the priority order of the screening conditions; in some embodiments of the invention, the priority order of the screening conditions is based on battery performance, which can be related to ionic conductivity and electrochemical performance.
Step S124, obtaining corresponding data from the sub-database of the material database module based on the screening condition;
step S125, selecting and combining data with earlier corresponding sequences from a plurality of sub-databases based on screening conditions, and then entering step S127;
Step S126, outputting a plurality of groups of corresponding data according to the screening conditions, merging or de-duplicating the plurality of groups of data, and entering step S127; a kind of electronic device with high-pressure air-conditioning system
Step S127, outputting the screening result.
In some educational embodiments of the invention, the sorting may be arranged in order or in reverse order according to the screening conditions in the step S125, which is only an example and not a limitation of the present invention.
In the first embodiment and the second embodiment of the present invention, the priority order may be a user-set order or a preset order. In combination with the material screening data management system according to the first embodiment of the present invention, the material screening steps are as follows:
(1) When the electrolyte components or proportions which can reach a certain conductivity are needed to be screened, a single value of conductivity or a range of values of conductivity can be input, and a corresponding single value of conductivity or a range of conductivity is further found from an ion conductivity database.
(2) When two or more kinds of data are simultaneously required, for example, when a certain electrolyte component material is selected, a battery structure that can achieve a certain battery performance is selected, wherein the battery structure contains the electrolyte component material selected as described above. At this time, the data is screened for priority in order of electrolyte composition to battery structure. Firstly, a battery structure associated with a specific electrolyte component material is obtained from a battery assembly database, then a sample number meeting the battery performance requirement is further obtained from a battery performance database corresponding to the sample number of the battery structure in the battery assembly database, and the required battery structure meeting both the electrolyte component material and the battery performance is obtained according to the sample number.
(3) When the input screening condition is the sample number, the condition data or detection data which is correlated and matched with the basic number or the basic number plus the feature number in the sample number can be screened and obtained.
In the present invention, the above examples are given by way of illustration only and are not intended to be limiting.
Therefore, based on the material data screening method provided in this embodiment, data processing under a single screening condition or multiple screening conditions can be achieved, based on the above steps, large data analysis can be performed on the stored data corresponding to each sample number, and a simulation experiment is performed by combining multiple sets of associated condition data with the detected data, so that the electrochemical performance and/or the battery performance of the electrolyte combined between the multiple sets of associated detected data and the condition data are estimated.
Furthermore, according to the estimated result, a clear research direction can be provided for the research of the novel battery, and a novel battery research and development method can be established. The application of the material data screening method can better define the research direction, thereby promoting the rapid development of the research of novel batteries and accelerating the research and development speed of high-performance batteries.
Compared with the prior art, the material screening data management system and the material data screening method provided by the invention have the following advantages:
The material screening data management system provided by the invention comprises a material database module and a reverse search module connected with the material database module, wherein the material database module further comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to condition data, and the sequence of the sample numbers is consistent with the sequence of the formation of each sub-database in the material database forming module. Based on the sub-database in the material database module and the corresponding unique sample number, the accuracy and regularity of the material screening data management system on the material screening data management can be improved.
Further, in the present invention, the sub-database of the material database module further includes an electrolyte composition and proportion database, a positive and negative electrode material database, a separator material database, and a battery assembly database, which are conditional data. The sub-databases also comprise an electrolyte ionic conductivity database, an electrolyte electrochemical performance database, an anode and cathode material electrochemical performance database and a battery performance database, wherein the databases are detection data. In the invention, by collecting a plurality of groups of detection data and condition data and storing the detection data and the condition data as a plurality of sub-databases respectively, the reverse search module can conveniently screen or inquire the detection data and the condition data, thereby realizing effective collection and management of the detection data and the corresponding condition data. By establishing the plurality of independent sub-databases, the application range of the material screening data management system can be expanded. Furthermore, the detection data and the condition data can be matched through the unique sample numbers by establishing a plurality of independent sub-databases, so that the matched data can be quickly obtained according to the condition data or the detection data, the convenience of data query and screening is improved, and in addition, the convenience of the material screening data management system is also improved.
The invention further comprises a data analysis module and an analysis data storage database, wherein the data analysis module is used for analyzing and processing the condition data and/or the detection data with the analysis factors according to the analysis factors, and further can form new data from analysis processing results and store the new data into the corresponding analysis data storage database. Based on the data analysis module and the establishment of the analysis data storage database, the data of one or more screening conditions in the material screening data management system can be further analyzed, so that the change rule or trend of the data of one or more screening conditions is obtained, the change rule or trend obtained by the analysis processing is used as new content in the material database module, the content can be matched with a unique sample number, the total data amount of the material database module can be continuously expanded, the accuracy and the association degree of material screening can be further improved, and the screening speed can be further improved.
The invention also provides a material data screening method, which comprises the steps of establishing a material database module associated with the condition data and the detection data; inputting screening conditions, and carrying out reverse search on the material database module; the material database module comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to the condition data, and the sequence of the sample numbers is consistent with the sequence of the formation of each sub-database in the material database forming module. Based on the sub-database and the corresponding unique sample number in the material database module, the accuracy of the material screening data management system on the material screening data management can be improved, the storage rate of detection data and conditional data can be improved, the regularity of data storage is further improved, and therefore the speed of data query and screening is improved.
Based on the material data screening method provided by the invention, the detection data which can be correspondingly obtained by certain condition data can be obtained through analyzing the detection data and the condition data, so that the composition and the proportion of the electrolyte can be adjusted in the batching process of the electrolyte detection system, the composition and the proportion of the electrolyte which are required can be obtained rapidly, and the research speed of electrolyte preparation can be improved.
The invention also provides a concrete step for establishing or forming each sub-database in the material database module, which takes the electrolyte component and the proportion database as the basic databases, and obtains the related condition data and the detection database thereof on the basis of the electrolyte component and the proportion database in turn. By establishing the plurality of independent sub-databases, the application range of the material screening data management system can be expanded. Furthermore, the detection data and the condition data can be matched through the unique sample numbers by establishing a plurality of independent sub-databases, so that the matched data can be quickly obtained according to the condition data or the detection data, the convenience of data query and screening is improved, and in addition, the convenience of the material screening data management system is also improved.
Further, when the electrolyte composition and proportion database and the ion conductivity database and/or the electrolyte electrochemical performance database matched with the electrolyte composition and proportion database are built, the method can be performed in a high-flux mode, so that the speed and the accuracy of database building can be improved.
In the invention, a method for judging screening conditions as one or more is provided, and based on different screening conditions, different steps are matched, components or proportions meeting one or more screening conditions are obtained rapidly, so that the detection data and the condition data can be further used as reference data for selecting new battery component materials and structures thereof, when certain condition data is obtained, specific detection experiments can be omitted, detection data related to the condition data can be obtained, and the condition data can be further adjusted according to the detection data, so that the efficiency of preparing new electrolyte is improved.
In the invention, step S14, an analysis factor is set, data with the analysis factor is analyzed, and an analysis processing result corresponding to the sample number is obtained; the analysis processing results are stored and correlated with the condition data and sample numbers thereof existing in the materials database to form an analysis data storage database. Based on the data analysis processing and the establishment of the analysis data storage database, the data of one or more screening conditions in the material screening data management system can be further analyzed, so that the change rule or trend of the data of one or more screening conditions is obtained, the change rule or trend obtained by the analysis processing is used as new content in the material database module, the content can be matched with a unique sample number, the total data amount of the material database module can be continuously expanded, the accuracy and the association degree of material screening can be further improved, and the screening speed can be further improved.
The material screening data management system and the material screening method provided by the invention can be used for providing an explicit research direction for the research of novel electrolytes and/or novel batteries. By effectively managing electrolyte detection data, a novel battery development method can be established. The application of the electrolyte detection data management system can better define the research direction, so that the rapid development of the research of novel batteries can be promoted, and the research and development speed of high-performance batteries can be accelerated.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but any modifications, equivalents, improvements, etc. within the principles of the present invention should be included in the scope of the present invention.
Claims (2)
1. A material data screening method is characterized in that: which comprises the following steps:
step S11, establishing a material database module associated with condition data and detection data;
s12, inputting screening conditions, and carrying out reverse search on the material database module; the material database module comprises a plurality of sub-databases and a plurality of unique sample numbers corresponding to the condition data, and the sequence of the sample numbers is consistent with the formation sequence of each sub-database in the material database module;
Step S13, obtaining relevant data corresponding to a plurality of sample numbers from a material database module;
step S14, setting analysis factors, analyzing the data with the analysis factors, and analyzing the analysis processing results corresponding to the sample numbers;
step S15, storing analysis processing results and correlating the analysis processing results with the existing condition data and sample numbers thereof in the sub-databases of the material database module to form an analysis data storage database;
wherein, step S11 includes the following steps:
step S111, preparing a single variable in components or proportions to obtain electrolyte samples, wherein each component or proportion thereof corresponds to a sample number, numbering the samples according to a numbering rule, each component or proportion thereof corresponds to a unique sample number, and storing to form an electrolyte component and proportion database;
step S112a, detecting the ion conductivity of the electrolyte sample with each sample number in step S111, and recording detection data to form an ion conductivity database corresponding to the sample number;
step S112b, carrying out electrochemical performance detection on the electrolyte sample with each sample number in step S111, and recording detection data to form an electrolyte electrochemical performance database corresponding to the sample number;
Step S113, combining the electrolyte sample in the step S111 and the single variable positive electrode or negative electrode material to form combined samples, wherein each combined sample corresponds to a sample number so as to form a positive electrode material database and a negative electrode material database;
step S114, carrying out electrochemical performance detection on the combined sample with each sample number in the step S113, and recording detection data to form an anode and cathode material electrochemical performance database corresponding to the sample number;
step S115, assembling the combined sample and a plurality of diaphragm materials in the step S113 into half-cells to be tested, wherein each half-cell to be tested corresponds to a sample number so as to form a diaphragm material database;
step S116, assembling the half-cells to be tested in the step S115 into the cells to be tested by a single-change packaging structure or process, wherein each cell to be tested corresponds to a sample number to form a cell assembly database; a kind of electronic device with high-pressure air-conditioning system
Step S117, detecting the battery performance of the half-cell to be detected with each sample number in the step S115 or the battery to be detected with each sample number in the step S116, and recording detection data to form a battery performance database corresponding to the sample number;
wherein, step S12 includes the following steps:
Step S121, inputting screening conditions;
step S122, judging whether the screening condition input in the step S121 is more than one, if yes, proceeding to step S123, otherwise proceeding to step S124;
step S123, determining the priority order of the screening conditions;
step S124, obtaining corresponding data from the sub-database of the material database module based on the screening condition;
step S125, selecting and combining data with earlier corresponding sequences from a plurality of sub-databases based on screening conditions, and then entering step S127;
step S126, outputting a plurality of groups of corresponding data according to the screening conditions, merging or de-duplicating the plurality of groups of data, and entering step S127; a kind of electronic device with high-pressure air-conditioning system
Step S127, outputting a screening result;
wherein the screening conditions include one or more of sample number, composition or ratio condition data, anode and cathode material condition data, separator material condition data, battery assembly condition data, ion conductivity range, battery performance range, or electrochemical performance range.
2. A method of screening material data as claimed in claim 1, wherein: the required electrolyte samples are prepared and obtained in a high-throughput manner in the step S111, and the step S112 simultaneously performs the conductivity test on multiple groups of electrolyte samples in parallel to obtain and output the detection result of the conductivity test.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711056757 | 2017-10-27 | ||
| CN2017110567572 | 2017-10-27 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110019137A CN110019137A (en) | 2019-07-16 |
| CN110019137B true CN110019137B (en) | 2023-06-06 |
Family
ID=67187067
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711468438.2A Active CN110019137B (en) | 2017-10-27 | 2017-12-29 | Battery material screening data management system and material data screening method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110019137B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102384920A (en) * | 2011-11-11 | 2012-03-21 | 江南大学 | Welding line radiographic-inspection detection data analysis and photo identification system |
| CN106168597A (en) * | 2016-07-05 | 2016-11-30 | 成都安普利菲能源技术有限公司 | High-flux electric test chemical equipment and high flux electrochemical test method |
| CN106447229A (en) * | 2016-10-31 | 2017-02-22 | 电子科技大学 | Material data management system and method in material informatics |
| CN107238801A (en) * | 2017-06-16 | 2017-10-10 | 长沙新材料产业研究院有限公司 | A kind of method for predicting lithium battery life cycle |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7695601B2 (en) * | 2006-05-09 | 2010-04-13 | The United States Of America As Represented By The Secretary Of The Army | Electrochemical test apparatus and method for its use |
-
2017
- 2017-12-29 CN CN201711468438.2A patent/CN110019137B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102384920A (en) * | 2011-11-11 | 2012-03-21 | 江南大学 | Welding line radiographic-inspection detection data analysis and photo identification system |
| CN106168597A (en) * | 2016-07-05 | 2016-11-30 | 成都安普利菲能源技术有限公司 | High-flux electric test chemical equipment and high flux electrochemical test method |
| CN106447229A (en) * | 2016-10-31 | 2017-02-22 | 电子科技大学 | Material data management system and method in material informatics |
| CN107238801A (en) * | 2017-06-16 | 2017-10-10 | 长沙新材料产业研究院有限公司 | A kind of method for predicting lithium battery life cycle |
Non-Patent Citations (1)
| Title |
|---|
| 核反应堆材料数据库系统及其应用;翟向伟等;《核科学与工程》;20160615(第03期);第64-69页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110019137A (en) | 2019-07-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | A comprehensive investigation of lithium-ion battery degradation performance at different discharge rates | |
| CN109655760A (en) | A kind of lossless detection method and its application method of lithium ion battery analysis lithium | |
| CN111781504B (en) | Lithium ion power battery aging state identification and open circuit voltage reconstruction method | |
| CN104965081B (en) | Antibody antigen detection method based on mobile device | |
| EP2648011A1 (en) | System for predicting lifetime of battery | |
| CN109916987B (en) | Electrochemical lithium analysis method and module device thereof | |
| CN104965080B (en) | A kind of reaction member for detection antibody or antigen and system | |
| Chang et al. | A novel fast capacity estimation method based on current curves of parallel-connected cells for retired lithium-ion batteries in second-use applications | |
| CN109164020B (en) | Method for detecting grain composition condition of lithium ion battery anode material | |
| CN110412102B (en) | Method for determining additive content in lithium ion battery electrolyte | |
| Xie et al. | A facile approach to high precision detection of cell-to-cell variation for Li-ion batteries | |
| CN112485693B (en) | Battery health state rapid evaluation method based on temperature probability density function | |
| CN111760805A (en) | Lithium ion experimental battery testing and screening method | |
| CN110019137B (en) | Battery material screening data management system and material data screening method | |
| CN101101279A (en) | Quantitative analysis method for battery electrolyte organic components | |
| Stock et al. | Introducing inline process and product analysis for the lean cell finalization in lithium-ion battery production | |
| CN109725032B (en) | High-flux electrolyte screening system and method thereof | |
| CN109947860B (en) | Electrolyte detection data management system and management method and application thereof | |
| CN102794272A (en) | Grading method for lithium-ion battery capacity | |
| CN114577867B (en) | Method for detecting Chang Liangji g capacity of fluorocarbon material | |
| CN113884923B (en) | Lithium ion battery internal resistance screening method | |
| CN114076899B (en) | Method, device, equipment, system and medium for estimating battery life in steps | |
| CN106483469B (en) | Device for improving battery test flux | |
| CN109633475A (en) | A kind of LiFePO4 energy-type cells life prediction method | |
| CN109725257B (en) | High-flux button cell performance detection system and method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20230712 Address after: No. 88, Yingbin Avenue, Shouan Town, Pujiang County, Chengdu, Sichuan 610000 Patentee after: Chengdu Dachao Technology Co.,Ltd. Address before: No. 1403, 14th floor, unit 2, building 7, No. 399, Dacheng west section, hi tech Zone, Chengdu, Sichuan 610000 Patentee before: CHENGDU AMPERELIFT ENERGY TECHNOLOGY CO.,LTD. |