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 PDF

Info

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 ion
lithium
life
dimensional
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Withdrawn
Application number
CN202011111815.9A
Other languages
Chinese (zh)
Inventor
王世旭
厉运杰
张宝林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hefei Gotion High Tech Power Energy Co Ltd
Original Assignee
Hefei Guoxuan High Tech Power Energy Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hefei Guoxuan High Tech Power Energy Co Ltd filed Critical Hefei Guoxuan High Tech Power Energy Co Ltd
Priority to CN202011111815.9A priority Critical patent/CN112285137A/en
Publication of CN112285137A publication Critical patent/CN112285137A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00Investigating 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
    • G01N23/02Investigating 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
    • G01N23/04Investigating 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
    • G01N23/046Investigating 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]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2223/00Investigating materials by wave or particle radiation
    • G01N2223/03Investigating materials by wave or particle radiation by transmission
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2223/00Investigating materials by wave or particle radiation
    • G01N2223/10Different kinds of radiation or particles
    • G01N2223/101Different kinds of radiation or particles electromagnetic radiation
    • G01N2223/1016X-ray
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2223/00Investigating materials by wave or particle radiation
    • G01N2223/40Imaging
    • G01N2223/419Imaging 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

The invention discloses a lithium ion battery full life cycle analysis lithium distribution detection method, which comprises the steps of firstly carrying out accelerated life test on a lithium ion battery at room temperature, and respectively utilizing a neutron photography system and a CT measurement system to obtain three-dimensional chromatographic images inside the lithium ion battery at different life attenuation stages; then, three-dimensional chromatographic images obtained by a neutron photography test system and a CT measurement system in different life attenuation stages are superposed and integrated to obtain a three-dimensional chromatographic image inside the lithium ion battery; and finally, analyzing the distribution condition of lithium on different positions on the obtained three-dimensional chromatographic image inside the lithium ion battery, and further finding out the key factors influencing the service life of the lithium ion battery. The invention solves the problem that the traditional analysis and test method needs to disassemble the battery to observe the battery interface, and analyzes and obtains the distribution of lithium in the lithium battery by the technology of combining the neutron photography and the CT on the premise of not damaging the structure of the lithium ion battery, thereby realizing the direct detection of key factors influencing the life attenuation.

Description

Lithium ion battery full life cycle lithium analysis distribution detection method
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.
CN202011111815.9A 2020-10-16 2020-10-16 Lithium ion battery full life cycle lithium analysis distribution detection method Withdrawn CN112285137A (en)

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 (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114092322A (en) * 2022-01-19 2022-02-25 清华大学 Method and device for generating anomaly detection model and method and device for detecting anomaly
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

Citations (2)

* Cited by examiner, † Cited by third party
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

Patent Citations (2)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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 (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114092322A (en) * 2022-01-19 2022-02-25 清华大学 Method and device for generating anomaly detection model and method and device for detecting anomaly
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

Similar Documents

Publication Publication Date Title
Finegan et al. Quantifying bulk electrode strain and material displacement within lithium batteries via high‐speed operando tomography and digital volume correlation
CN112285137A (en) Lithium ion battery full life cycle lithium analysis distribution detection method
CN106814319B (en) lithium ion battery self-discharge detection system
Yamazaki et al. In-situ measurement of the lithium distribution in Li-ion batteries using micro-IBA techniques
Turkoglu et al. Characterization of a new external neutron beam facility at the Ohio State University
Riley et al. In situ neutron imaging of alkaline and lithium batteries
Settimo Search for low-mass dark matter with the DAMIC experiment
CN101893432B (en) Nondestructive flaw detection thickness meter
LaManna et al. NIST NeXT: a system for truly simultaneous neutron and x-ray tomography
Tsigaridas et al. X-ray imaging with high-Z sensors for the ESRF-EBS Upgrade
CN109655098A (en) The failure analysis method of secondary cell battery core
JP6001604B2 (en) Method for two-dimensional measurement using X-rays on electrodes
CN111781632A (en) Neutron-gamma ray combined detection device and method
Hmissi et al. First images from a CeBr 3/LYSO: Ce Temporal Imaging portable Compton camera at 1.3 MeV
CN116125294A (en) Lithium battery CT chromatographic detection method based on ultrasonic detection
CN204461620U (en) A kind of photon detection device
CN201425473Y (en) Nondestructive test thickness tester
Siegel et al. Neutron imaging of lithium concentration in battery pouch cells
CN213633848U (en) Neutron-gamma ray combined detection device
Gramigna A Cylindrical GEM Inner Tracker for the BESIII Experiment: From Construction to Electronic Noise Studies
CN116581408A (en) Low-temperature charging method, device, equipment and medium for lithium ion battery
Nojima et al. Development of an imaging system for the observation of water behavior in a channel in PEMFC
Lehmann et al. Neutron absorption tomography
Qiu et al. The potential of using Li-ion batteries for radiation detection
Kuribara et al. Development of new UV-II Cerenkov viewing device

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

Application publication date: 20210129

WW01 Invention patent application withdrawn after publication