• 제목/요약/키워드: lithium ion batteries

검색결과 734건 처리시간 0.023초

Current Collectors for Flexible Lithium Ion Batteries: A Review of Materials

  • Kim, Sang Woo;Cho, Kuk Young
    • Journal of Electrochemical Science and Technology
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    • 제6권1호
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    • pp.1-6
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    • 2015
  • With increasing interest in flexible electronic devices and wearable appliances, flexible lithium ion batteries are the most attractive candidates for flexible energy sources. During the last decade, many different kinds of flexible batteries have been reported. Although research of flexible lithium ion batteries is in its earlier stages, we have found that developing components that satisfy performance conditions under external deformation stress is a critical key to the success of flexible energy sources. Among the major components of the lithium ion battery, electrodes, which are connected to the current collectors, are gaining the most attention owing to their rigid and brittle character. In this mini review, we discuss candidate materials for current collectors and the previous strategies implemented for flexible electrode fabrication.

Electrode Materials for Lithium Ion Batteries

  • Chowdari, B.V.R.
    • 한국재료학회:학술대회논문집
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    • 한국재료학회 2011년도 추계학술발표대회
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    • pp.5-5
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    • 2011
  • Lithium ion batteries are found to have wide range of applications in variety of mobile devices ranging from simple toys to electric vehicles. The performance of these batteries depends on the choice of constituent materials. In this lecture, the materials aspects and perspectives of the electrode batteries will be discussed. Results from some of the specific studies made at speaker's laboratory will be presented.

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Development of 600-MHz 19F-7Li Solid-State NMR Probe for In-Situ Analysis of Lithium Ion Batteries

  • Jeong, Ji-Ho;Park, Yu-Geun;Choi, Sung-Sub;Kim, Yongae
    • Bulletin of the Korean Chemical Society
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    • 제34권11호
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    • pp.3253-3256
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    • 2013
  • Lithium is a highly attractive material for high-energy-concentration batteries, since it has low weight and high potential. Rechargeable lithium-ion batteries (LIBs), which have the extremely high gravimetric and volumetric energy densities, are currently the most preferable power sources for future electric vehicles and various portable electronic devices. In order to improve the efficiency and lifetime, new electrode compounds for lithium intercalation or insertion have been investigated for rechargeable batteries. Solid-state nuclear magnetic resonance (NMR) is a very useful tool to investigate the structural changes in electrode materials in actual working lithium-ion batteries. To detect the in-situ microstructural changes of electrode and electrolyte materials, $^7Li-^{19}F$ double-resonance solid-state NMR probe with a static solenoidal coil for a 600-MHz narrow-bore magnet was designed, constructed, and tested successfully.

Data-Driven Approach for Lithium-Ion Battery Remaining Useful Life Prediction: A Literature Review

  • Luon Tran Van;Lam Tran Ha;Deokjai Choi
    • 스마트미디어저널
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    • 제11권11호
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    • pp.63-74
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    • 2022
  • Nowadays, lithium-ion battery has become more popular around the world. Knowing when batteries reach their end of life (EOL) is crucial. Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is needed for battery health management systems and to avoid unexpected accidents. It gives information about the battery status and when we should replace the battery. With the rapid growth of machine learning and deep learning, data-driven approaches are proposed to address this problem. Extracting aging information from battery charge/discharge records, including voltage, current, and temperature, can determine the battery state and predict battery RUL. In this work, we first outlined the charging and discharging processes of lithium-ion batteries. We then summarize the proposed techniques and achievements in all published data-driven RUL prediction studies. From that, we give a discussion about the accomplishments and remaining works with the corresponding challenges in order to provide a direction for further research in this area.

A Novel Separator Membrane for Safer Lithium-ion Rechargeable Batteries

  • Lee, Sang-Young;Kim, Seok-Koo;Hong, Jang-Hyuck;Shin, Byeong-Jin;Park, Jong-Hyuck;Sohn, Joon-Yong;Jang, Hyun-Min;Ahn, Soon-Ho
    • 한국고분자학회:학술대회논문집
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    • 한국고분자학회 2006년도 IUPAC International Symposium on Advanced Polymers for Emerging Technologies
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    • pp.69-70
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    • 2006
  • In lithium-ion batteries, separator membrane's, main role is to physically isolate a cathode and an anode while maintaining rapid transport of ionic charge carriers during the passage of electric current. As far as battery safety is concerned, the electrical isolation of electrodes is most crucial since unexpected short-circuits across the membrane induces hot spots where thermal runaway may break out. Internal short-circuits are generally believed to occur by protrusions on the electrode surface either by unavoidable deposits of metallic impurities or by dendritic lithium growth during battery operation. Another cause is shrinkage of the separator membrane when exposed to heat. If separator membrane can be engineered to prevent the internal short-circuit, it will not be difficult to improve lithium-ion batteries' safety. Commonly the separators employed in lithium-ion batteries are made of polyethylene (PE) and/or polypropylene (PP). These materials have terrible limitations in preventing the fore-mentioned internal short-circuit between electrodes due to their poor dimensional stability and mechanical strength. In this study we have developed a novel separator membrane that possesses very high thermal and mechanical stability. The cells employing this separator provided noticeable safety improvement in the various abuse tests.

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72.5 Ah NCM계 파우치형 리튬이온배터리의 표면온도 상승률이 열폭주 발생시간에 미치는 영향 분석 (Analysis of Effect of Surface Temperature Rise Rate of 72.5 Ah NCM Pouch-type Lithium-ion Battery on Thermal Runaway Trigger Time)

  • 이흥수;홍성호;이준혁;박문우
    • 한국안전학회지
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    • 제36권5호
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    • pp.1-9
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    • 2021
  • With the convergence of the information and communication technologies, a new age of technological civilization has arrived. This is the age of intelligent revolution, known as the 4th industrial revolution. The 4th industrial revolution is based on technological innovations, such as robots, big data analysis, artificial intelligence, and unmanned transportation facilities. This revolution would interconnect all the people, things, and economy, and hence will lead to the expansion of the industry. A high-density, high-capacity energy technology is required to maintain this interconnection. As a next-generation energy source, lithium-ion batteries are in the spotlight today. However, lithium-ion batteries can cause thermal runaway and fire because of electrical, thermal, and mechanical abuse. In this study, thermal runaway was induced in 72.5 Ah NCM pouch-type lithium-ion batteries because of thermal abuse. The surface of the pouch-type lithium-ion batteries was heated by the hot plate heating method, and the effect of the rate of increase in the surface temperature on the thermal runaway trigger time was analyzed using Minitab 19, a statistical analysis program. The correlation analysis results confirmed that there existed a strong negative relationship between each variable, while the regression analysis demonstrated that the thermal runaway trigger time of lithium-ion batteries can be predicted from the rate of increase in their surface temperature.

딥러닝을 이용한 리튬이온 배터리 잔여 유효수명 예측 (Deep Learning Approaches to RUL Prediction of Lithium-ion Batteries)

  • 정상진;허장욱
    • 한국기계가공학회지
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    • 제19권12호
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    • pp.21-27
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    • 2020
  • Lithium-ion batteries are the heart of energy-storing devices and electric vehicles. Owing to their superior qualities, such as high capacity and energy efficiency, they have become quite popular, resulting in an increased demand for failure/damage prevention and useable life maximization. To prevent failure in Lithium-ion batteries, improve their reliability, and ensure productivity, prognosticative measures such as condition monitoring through sensors, condition assessment for failure detection, and remaining useful life prediction through data-driven prognostics and health management approaches have become important topics for research. In this study, the residual useful life of Lithium-ion batteries was predicted using two efficient artificial recurrent neural networks-ong short-term memory (LSTM) and gated recurrent unit (GRU). The proposed approaches were compared for prognostics accuracy and cost-efficiency. It was determined that LSTM showed slightly higher accuracy, whereas GRUs have a computational advantage.

리튬계 수소화물 전해질 복합막의 열확산 및 전기화학적 특성평가 (Evaluations of Thermal Diffusivity and Electrochemical Properties for Lithium Hydride and Electrolyte Composites)

  • 황준현;홍태환
    • 한국재료학회지
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    • 제32권10호
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    • pp.429-434
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    • 2022
  • There is ongoing research to develop lithium ion batteries as sustainable energy sources. Because of safety problems, solid state batteries, where electrolytes are replaced with solids, are attracting attention. Sulfide electrolytes, with a high ion conductivity of 10-3 S/cm or more, have the highest potential performance, but the price of the main materials is high. This study investigated lithium hydride materials, which offer economic advantages and low density. To analyze the change in ion conductivity in polymer electrolyte composites, PVDF, a representative polymer substance was used at a certain mass ratio. XRD, SEM, and BET were performed for metallurgical analyses of the materials, and ion conductivity was calculated through the EIS method. In addition, thermal conductivity was measured to analyze thermal stability, which is a major parameter of lithium ion batteries. As a result, the ion conductivity of LiH was found to be 10-6 S/cm, and the ion conductivity further decreased as the PVDF ratio increased when the composite was formed.

최근 휴대폰용 배터리의 기술개발 동향 (Recent Trend of Lithium Secondary Batteries for Cellular Phones)

  • 이형근;김영준;조원일
    • 전기화학회지
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    • 제10권1호
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    • pp.31-35
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    • 2007
  • 이 리뷰를 통하여, 휴대폰용 리튬이차전지의 최근 기술동향을 설명하였다. 휴대폰용 이차전지로는 니카드, 니켈-금속수소, 리튬이온 혹은 리튬이온폴리머의 세 가지 형태의 전지가 있으며, 리튬 이차전지가 에너지밀도 측면에서 가장 성능이 우수하다. 즉, 동일한 용량을 갖는 이차전지 가운데 가장 작고 가벼운 것은 리튬이차전지이다. 이러한 리튬이차전지의 시장은 매년 약 15%의 높은 성장을 기록하고 있다. 연구개발은 $LiFePO_4$를 포함하는 새로운 양극, $Li_4Ti_5O_{10}$, Si, 주석 등의 새로운 음극소재, 새로운 전해질과 안정성 확보에 관한 것을 중심으로 진행되고 있다.

리튬이온전지를 이용한 노트북 PC용 고성능 Smart Battery의 개발 (Development of High-Performance Smart Battery for Notebook PCs with Lithium Ion Battery)

  • 김현수;문성인;윤문수;고병희;김동훈
    • 한국전기전자재료학회논문지
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    • 제16권11호
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    • pp.1047-1054
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    • 2003
  • Smart battery pack (SBP) for notebook PCs was developed using a cylindrical-type lithium ion battery. Batteries were connected with three serial and two parallel, the nominal capacity and the maximum load of SBP was 4,000mAh and 4.0A, respectively. The SBP was composed of a protection IC, by which safety of lithium ion batteries is maintained against overcharge, overdischarge and overcurrent, and a smart IC, which calculates the remaining capacity and the remaining run time. In matching test on notebook PC using Battery Mark 4.0, real and smart data of END voltage coincided nearly and LB and LLB signal worked norma]]y. And there were errors of less than 1% between the real and the smart data on the residual capacity in the charge and discharge test.