CN112285137A - Lithium ion battery full life cycle lithium analysis distribution detection method - Google Patents
Lithium ion battery full life cycle lithium analysis distribution detection method Download PDFInfo
- Publication number
- CN112285137A CN112285137A CN202011111815.9A CN202011111815A CN112285137A CN 112285137 A CN112285137 A CN 112285137A CN 202011111815 A CN202011111815 A CN 202011111815A CN 112285137 A CN112285137 A CN 112285137A
- Authority
- CN
- China
- Prior art keywords
- ion battery
- lithium
- lithium ion
- life
- battery
- 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.)
- Withdrawn
Links
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title claims abstract description 67
- 229910001416 lithium ion Inorganic materials 0.000 title claims abstract description 67
- 229910052744 lithium Inorganic materials 0.000 title claims abstract description 51
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 title claims abstract description 50
- 238000004458 analytical method Methods 0.000 title claims abstract description 17
- 238000001514 detection method Methods 0.000 title claims description 15
- 238000012360 testing method Methods 0.000 claims abstract description 20
- 238000000034 method Methods 0.000 claims abstract description 14
- 238000005259 measurement Methods 0.000 claims abstract description 12
- 238000003384 imaging method Methods 0.000 claims abstract description 5
- 238000003325 tomography Methods 0.000 claims abstract description 5
- 238000002591 computed tomography Methods 0.000 claims description 19
- 238000007600 charging Methods 0.000 claims description 10
- 238000002601 radiography Methods 0.000 claims description 4
- 238000010280 constant potential charging Methods 0.000 claims description 3
- 238000007599 discharging Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 abstract description 2
- 230000008021 deposition Effects 0.000 abstract 1
- 238000001556 precipitation Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000011160 research Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008719 thickening Effects 0.000 description 2
- 229910010710 LiFePO Inorganic materials 0.000 description 1
- 229910052493 LiFePO4 Inorganic materials 0.000 description 1
- 239000011149 active material Substances 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
- G01N23/046—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/03—Investigating materials by wave or particle radiation by transmission
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/10—Different kinds of radiation or particles
- G01N2223/101—Different kinds of radiation or particles electromagnetic radiation
- G01N2223/1016—X-ray
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2223/00—Investigating materials by wave or particle radiation
- G01N2223/40—Imaging
- G01N2223/419—Imaging computed tomograph
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pulmonology (AREA)
- Radiology & Medical Imaging (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
- Secondary Cells (AREA)
Abstract
本发明公开了一种锂离子电池全生命周期析锂分布探测方法，首先在室温下对锂离子电池进行加速寿命测试，在不同的寿命衰减阶段分别利用中子照相系统和CT测量系统获取锂离子电池内部的三维层析图像；然后将不同的寿命衰减阶段中子照相测试系统和CT测量系统得到的三维层析图像进行叠加整合获取锂离子电池内部三维层析图像；最后分析获取的锂离子电池内部三维层析图像上锂在不同位置上的分布情况，进而找出锂离子电池内部影响电池寿命的关键因素。本发明解决传统分析测试方法需要拆解电池观察电池界面的问题，通过中子照相及CT相结合的技术在不破坏锂离子电池结构的前提下分析得到锂电池内部锂的分布，从而实现影响寿命衰减的关键因素直接探测。The invention discloses a method for detecting the distribution of lithium ion deposition in the whole life cycle of a lithium ion battery. First, an accelerated life test is performed on the lithium ion battery at room temperature, and a neutron imaging system and a CT measurement system are respectively used to obtain lithium ions in different life decay stages. Three-dimensional tomographic images of the interior of the battery; then the three-dimensional tomographic images obtained by the neutron photography test system and CT measurement system in different life decay stages are superimposed and integrated to obtain the internal three-dimensional tomographic images of the lithium-ion battery; finally, the obtained lithium-ion battery is analyzed. The distribution of lithium in different positions on the internal 3D tomography image, and then find out the key factors inside the lithium-ion battery that affect the battery life. The invention solves the problem that the traditional analysis and testing method needs to disassemble the battery to observe the battery interface, and analyzes the distribution of the lithium inside the lithium battery under the premise of not destroying the structure of the lithium ion battery through the combined technology of neutron photography and CT, so as to realize the influence of life. The key factor of attenuation is directly probed.
Description
Technical Field
The invention relates to the field of lithium ion batteries, in particular to a lithium ion battery full life cycle lithium analysis distribution detection method.
Background
The concept of a self-rocking chair type chargeable and dischargeable lithium battery is proposed by Armand M et al in 1972, and the basic research of the lithium battery is carried out for 47 years. At present, basic research on lithium ion batteries is becoming more and more mature, however, the research on the problem of life decay of lithium ion batteries as one of the key parts of electric vehicles becomes a key point, for example: the phenomena of lithium analysis, thickening of an SEI film on the surface of a negative electrode, loss of recyclable lithium, damage of an active material structure and the like can cause the service life of the lithium battery to be reduced, but effective testing means are required to obtain the complex reaction process information, analyze the existing problems and provide a solution.
Disclosure of Invention
The invention aims to solve the technical problem of providing a lithium ion battery full-life cycle lithium analysis distribution detection method, which aims to solve the problem that the existing method can not effectively detect the lithium ion battery full-life cycle lithium analysis distribution in real time, and can visually observe the position distribution and the thickness of lithium precipitation without disassembling the battery, so that the method has important significance in further understanding the mechanism of the life attenuation of the lithium ion battery and developing a lithium battery with long service life.
The technical scheme of the invention is as follows:
a lithium ion battery full life cycle lithium analysis distribution detection method specifically comprises the following steps:
(1) carrying out accelerated life test on the lithium ion battery at room temperature, acquiring three-dimensional chromatographic images inside the lithium ion battery by using a neutron photography system at different life attenuation stages, and acquiring three-dimensional chromatographic images inside the lithium ion battery by using a CT (computed tomography) measurement system at different life attenuation stages;
(2) superposing and integrating three-dimensional chromatographic images obtained by the neutron photography test system and the three-dimensional chromatographic images obtained by the CT measurement system at different life attenuation stages so as to obtain three-dimensional chromatographic images inside the lithium ion battery;
(3) and (3) analyzing the distribution condition of lithium at different positions on the three-dimensional chromatographic image obtained in the step (2) in the lithium ion battery, and further finding out the key factors influencing the service life of the battery in the lithium ion battery.
In the step (1), the specific steps of the accelerated life test of the lithium ion battery are as follows: firstly, placing a lithium battery in a thermostat at 25 ℃, discharging the battery to 2.0V at a constant current of 1C, and standing for 1 hour; then charging to 3.65V at a constant current of 1C, converting to constant voltage charging, stopping charging after the charging current is reduced to 0.05C, and standing for 1 hour; and repeating the steps and circulating for N weeks, wherein N is 200, 400 and 600 ….
In the step (1), the neutron radiography system is used for acquiring the three-dimensional tomography image of the interior of the lithium ion battery every 200 weeks, and the X-ray CT three-dimensional imaging system is used for acquiring the three-dimensional tomography image of the interior of the lithium ion battery every 200 weeks.
In the step (1), the specific method for acquiring the three-dimensional tomographic image inside the lithium ion battery by the neutron radiography system is as follows: when neutron rays pass through the lithium ion battery, neutrons interact with atomic nuclei in the lithium ion battery, light emitted by transmitted neutrons striking the scintillation screen is reflected to the lens by the reflector and then focused on the CCD camera, and therefore a three-dimensional tomographic image inside the lithium ion battery is obtained.
The incident direction of the neutron rays is perpendicular to the lithium ion battery, and the imaging area is 10cm multiplied by 10 cm.
In the step (2), a specific method for obtaining the three-dimensional tomographic image inside the lithium ion battery by superposition and integration is as follows: and integrating the three-dimensional chromatographic image obtained by the neutron photography test system and the three-dimensional chromatographic image obtained by the CT measurement system by utilizing a matlab image superposition algorithm.
In the step (3), the distribution of lithium at different positions on the three-dimensional tomographic image specifically includes the concentration, shape and position information of lithium.
The invention has the advantages that:
the invention has the theoretical basis that neutrons are uncharged, can easily penetrate through an electron layer, can perform nuclear reaction with atomic nucleus, is sensitive to certain light elements and insensitive to heavy elements, lithium metal just belongs to the light elements, the distribution of lithium is easy to observe by neutron photography, X-ray three-dimensional CT is sensitive to the heavy elements and insensitive to the light elements, materials such as positive and negative electrodes and the like just belong to the heavy elements and can be identified by the X-ray three-dimensional CT, and three-dimensional chromatographic images obtained by combining the neutrons and the heavy elements can reflect the distribution condition of lithium on different positions. The invention overcomes the defects that the traditional analysis and test method needs to disassemble the battery to observe the battery interface and can not effectively observe the loss of the recyclable lithium (lithium precipitation and SEI film thickening) in the circulation process, and the invention can analyze and obtain the distribution of the lithium in the lithium ion battery on the premise of not damaging the structure of the lithium ion battery by the technology of combining neutron photography and CT, thereby realizing the direct detection of the key factors influencing the life attenuation.
Detailed Description
The following will clearly and completely describe the technical solutions in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A lithium ion battery full life cycle lithium analysis distribution detection method specifically comprises the following steps:
(1) carrying out accelerated life test on the lithium ion battery at room temperature, acquiring three-dimensional chromatographic images inside the lithium ion battery by using a neutron photography system at different life attenuation stages, and acquiring three-dimensional chromatographic images inside the lithium ion battery by using a CT (computed tomography) measurement system at different life attenuation stages;
(2) superposing and integrating three-dimensional chromatographic images obtained by the neutron photography test system and the three-dimensional chromatographic images obtained by the CT measurement system at different life attenuation stages so as to obtain three-dimensional chromatographic images inside the lithium ion battery;
(3) and (3) analyzing the distribution condition of lithium at different positions on the three-dimensional chromatographic image obtained in the step (2) in the lithium ion battery, and further finding out the key factors influencing the service life of the battery in the lithium ion battery.
The accelerated life test is to test the life attenuation of the lithium battery in an accelerated manner according to the cycle life test standard of the lithium battery.
It should be noted that, in this embodiment, the specific process of testing the lithium battery by combining the neutron photograph system and the CT measurement system is as follows: according to the cycle life test standard of the lithium battery, the attenuation of the lithium battery is tested in an accelerated mode, and in the attenuation process of the lithium battery, neutron photography test and X-ray three-dimensional CT are carried out on the lithium batteries with different attenuation degrees, so that key factors influencing life attenuation inside the lithium battery are further detected.
To lithium iron phosphate LiFePO4The method disclosed in this embodiment is described as follows:
(1) selecting 3 LiFePO square lithium batteries of 15 Ah;
(2) in a thermostat environment at 25 ℃, discharging the battery to 2.0V by using current with the circulation rate of 1C, namely 15A, and standing for 1 hour; then charging to 3.65V at a constant current of 15A, converting to constant voltage charging, stopping charging when the charging current is reduced to 0.75A, and standing for 1 hour after charging is finished;
and repeating the steps, and obtaining the distribution of lithium on the three-dimensional chromatographic image by using a neutron photography system and a CT measurement system together after each cycle of N is 200 weeks. The position distribution and the thickness of the lithium precipitation in the lithium ion battery are judged according to the three-dimensional chromatographic image, so that the real-time and nondestructive detection of the lithium precipitation distribution in the whole life cycle process of the lithium ion battery is realized, and the method has important practical significance for researching the degradation mechanism of the lithium ion battery.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A lithium ion battery full life cycle lithium analysis distribution detection method is characterized in that: the method specifically comprises the following steps:
(1) carrying out accelerated life test on the lithium ion battery at room temperature, acquiring three-dimensional chromatographic images inside the lithium ion battery by using a neutron photography system at different life attenuation stages, and acquiring three-dimensional chromatographic images inside the lithium ion battery by using a CT (computed tomography) measurement system at different life attenuation stages;
(2) superposing and integrating three-dimensional chromatographic images obtained by the neutron photography test system and the three-dimensional chromatographic images obtained by the CT measurement system at different life attenuation stages so as to obtain three-dimensional chromatographic images inside the lithium ion battery;
(3) and (3) analyzing the distribution condition of lithium at different positions on the three-dimensional chromatographic image obtained in the step (2) in the lithium ion battery, and further finding out the key factors influencing the service life of the battery in the lithium ion battery.
2. The lithium ion battery full-life-cycle lithium analysis distribution detection method according to claim 1, characterized in that: in the step (1), the specific steps of the accelerated life test of the lithium ion battery are as follows: firstly, placing a lithium battery in a thermostat at 25 ℃, discharging the battery to 2.0V at a constant current of 1C, and standing for 1 hour; then charging to 3.65V at a constant current of 1C, converting to constant voltage charging, stopping charging after the charging current is reduced to 0.05C, and standing for 1 hour; and repeating the steps and circulating for N weeks, wherein N is 200, 400 and 600 ….
3. The lithium ion battery full-life-cycle lithium analysis distribution detection method according to claim 2, characterized in that: in the step (1), the neutron radiography system is used for acquiring the three-dimensional tomography image of the interior of the lithium ion battery every 200 weeks, and the X-ray CT three-dimensional imaging system is used for acquiring the three-dimensional tomography image of the interior of the lithium ion battery every 200 weeks.
4. The lithium ion battery full-life-cycle lithium analysis distribution detection method according to claim 1, characterized in that: in the step (1), the specific method for acquiring the three-dimensional tomographic image inside the lithium ion battery by the neutron radiography system is as follows: when neutron rays pass through the lithium ion battery, neutrons interact with atomic nuclei in the lithium ion battery, light emitted by transmitted neutrons striking the scintillation screen is reflected to the lens by the reflector and then focused on the CCD camera, and therefore a three-dimensional tomographic image inside the lithium ion battery is obtained.
5. The lithium ion battery full-life-cycle lithium analysis distribution detection method according to claim 4, characterized in that: the incident direction of the neutron rays is perpendicular to the lithium ion battery, and the imaging area is 10cm multiplied by 10 cm.
6. The lithium ion battery full-life-cycle lithium analysis distribution detection method according to claim 1, characterized in that: in the step (2), a specific method for obtaining the three-dimensional tomographic image inside the lithium ion battery by superposition and integration is as follows: and integrating the three-dimensional chromatographic image obtained by the neutron photography test system and the three-dimensional chromatographic image obtained by the CT measurement system by utilizing a matlab image superposition algorithm.
7. The lithium ion battery full-life-cycle lithium analysis distribution detection method according to claim 1, characterized in that: in the step (3), the distribution of lithium at different positions on the three-dimensional tomographic image specifically includes the concentration, shape and position information of lithium.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011111815.9A CN112285137A (en) | 2020-10-16 | 2020-10-16 | Lithium ion battery full life cycle lithium analysis distribution detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011111815.9A CN112285137A (en) | 2020-10-16 | 2020-10-16 | Lithium ion battery full life cycle lithium analysis distribution detection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112285137A true CN112285137A (en) | 2021-01-29 |
Family
ID=74497035
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011111815.9A Withdrawn CN112285137A (en) | 2020-10-16 | 2020-10-16 | Lithium ion battery full life cycle lithium analysis distribution detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112285137A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114092322A (en) * | 2022-01-19 | 2022-02-25 | 清华大学 | Anomaly detection model generation method and device and anomaly detection method and device |
| CN117253966A (en) * | 2023-09-26 | 2023-12-19 | 南昌大学 | Method for constructing stable interface film on alkali metal surface by utilizing neutron irradiation |
| WO2024031666A1 (en) * | 2022-08-12 | 2024-02-15 | 宁德时代新能源科技股份有限公司 | Battery infiltration state detection method and apparatus, device, system, and medium |
| CN118362898A (en) * | 2024-04-24 | 2024-07-19 | 苏州特瑞菲机械设备有限公司 | New energy automobile battery performance detection system and method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106248702A (en) * | 2016-09-08 | 2016-12-21 | 华南理工大学 | In influence factor's detection method in a kind of lithium ion battery self discharge |
| CN106814320A (en) * | 2015-11-28 | 2017-06-09 | 华南理工大学 | A kind of lithium iron phosphate dynamic battery Cycle life prediction system |
-
2020
- 2020-10-16 CN CN202011111815.9A patent/CN112285137A/en not_active Withdrawn
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106814320A (en) * | 2015-11-28 | 2017-06-09 | 华南理工大学 | A kind of lithium iron phosphate dynamic battery Cycle life prediction system |
| CN106248702A (en) * | 2016-09-08 | 2016-12-21 | 华南理工大学 | In influence factor's detection method in a kind of lithium ion battery self discharge |
Non-Patent Citations (6)
| Title |
|---|
| KOICHI KINO ET AL.: "Two-dimensional imaging of charge/discharge by Bragg edge analysis of electrode materials for pulsed neutron-beam transmission spectra of a Li-ion battery", 《SOLID STATE IONICS》 * |
| MASAHIRO KAMATA ET AL.: "Lithium batteries: application of neutron radiography", 《JOURNAL OF POWER SOURCES》 * |
| 王中旭: "锂离子软包电池容量衰减和厚度膨胀预测方法研究", 《广东化工》 * |
| 田君等: "锂离子电池安全性测试与评价方法分析", 《储能科学与技术》 * |
| 韩松柏等: "国外热中子照相技术在锂离子电池", 《无损检测》 * |
| 马天翼等: "计算机断层扫描技术在锂离子电池检测中的应用研究", 《重庆理工大学学报(自然科学)》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114092322A (en) * | 2022-01-19 | 2022-02-25 | 清华大学 | Anomaly detection model generation method and device and anomaly detection method and device |
| WO2024031666A1 (en) * | 2022-08-12 | 2024-02-15 | 宁德时代新能源科技股份有限公司 | Battery infiltration state detection method and apparatus, device, system, and medium |
| CN117253966A (en) * | 2023-09-26 | 2023-12-19 | 南昌大学 | Method for constructing stable interface film on alkali metal surface by utilizing neutron irradiation |
| CN118362898A (en) * | 2024-04-24 | 2024-07-19 | 苏州特瑞菲机械设备有限公司 | New energy automobile battery performance detection system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112285137A (en) | Lithium ion battery full life cycle lithium analysis distribution detection method | |
| CN106814319B (en) | lithium ion battery self-discharge detection system | |
| Wang et al. | In situ neutron techniques for studying lithium ion batteries | |
| Turkoglu et al. | Characterization of a new external neutron beam facility at the Ohio State University | |
| Yamazaki et al. | In-situ measurement of the lithium distribution in Li-ion batteries using micro-IBA techniques | |
| CN108387594A (en) | A kind of method and system of non-destructive testing stack type lithium ion battery | |
| Same et al. | In situ neutron radiography analysis of graphite/NCA lithium-ion battery during overcharge | |
| CN101923061A (en) | X ray transmission testing fixture and X ray transmission inspection method | |
| Settimo | Search for low-mass dark matter with the DAMIC experiment | |
| CN106855522A (en) | White light neutron imaging method and the material composition lossless detection method using it | |
| CN101893432B (en) | Nondestructive flaw detection thickness meter | |
| Sato et al. | Non-destructive observation of plated lithium distribution in a large-scale automobile Li-ion battery using synchrotron X-ray diffraction | |
| CN102735701B (en) | A multi-parameter integrated detection system for nuclear components | |
| Lübke et al. | The origins of critical deformations in cylindrical silicon based Li-ion batteries | |
| CN116125294A (en) | Lithium battery CT chromatographic detection method based on ultrasonic detection | |
| Mihovilovič et al. | Measurement of double-polarization asymmetries in the quasielastic he→ 3 (e→, e′ d) process | |
| CN220542798U (en) | Battery detection device | |
| Hmissi et al. | First images from a CeBr 3/LYSO: Ce Temporal Imaging portable Compton camera at 1.3 MeV | |
| CN113899766A (en) | Method for detecting pole piece turnover and pole piece turnover detection platform | |
| JP6001604B2 (en) | Method for two-dimensional measurement using X-rays on electrodes | |
| CN213633848U (en) | Neutron-gamma ray combined detection device | |
| CN114383517A (en) | A method and device for real-time detection of battery expansion based on optical imaging | |
| CN201425473Y (en) | Nondestructive test thickness tester | |
| CN116581408A (en) | A lithium-ion battery low-temperature charging method, device, equipment and medium | |
| Siegel et al. | Neutron imaging of lithium concentration in battery pouch cells |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210129 |