• Title/Summary/Keyword: Lithium ion Battery

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Prediction of Lithium Diffusion Coefficient and Rate Performance by using the Discharge Curves of LiFePO4 Materials

  • Yu, Seung-Ho;Park, Chang-Kyoo;Jang, Ho;Shin, Chee-Burm;Cho, Won-Il
    • Bulletin of the Korean Chemical Society
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    • v.32 no.3
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    • pp.852-856
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    • 2011
  • The lithium ion diffusion coefficients of bare, carbon-coated and Cr-doped $LiFePO_4$ were obtained by fitting the discharge curves of each half cell with Li metal anode. Diffusion losses at discharge curves were acquired with experiment data and fitted to equations. Theoretically fitted equations showed good agreement with experimental results. Moreover, theoretical equations are able to predict lithium diffusion coefficient and discharge curves at various discharge rates. The obtained diffusion coefficients were similar to the true diffusion coefficient of phase transformation electrodes. Lithium ion diffusion is one of main factors that determine voltage drop in a half cell with $LiFePO_4$ cathode and Li metal anode. The high diffusion coefficient of carbon-coated and Cr-doped $LiFePO_4$ resulted in better performance at the discharge process. The performance at high discharge rate was improved much as diffusion coefficient increased.

A Novel SOC Estimation Method for Multiple Number of Lithium Batteries Using Deep Neural Network (딥 뉴럴 네트워크를 이용한 새로운 리튬이온 배터리의 SOC 추정법)

  • Khan, Asad;Ko, Young-hwi;Choi, Woojin
    • Proceedings of the KIPE Conference
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    • 2019.11a
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    • pp.70-72
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    • 2019
  • For the safe and reliable operation of Lithium-ion batteries in Electric Vehicles (EVs) or Energy Storage Systems (ESSs), it is essential to have accurate information of the battery such as State of Charge (SOC). Many kinds of different techniques to estimate the SOC of the batteries have been developed so far such as the Kalman Filter. However, when it is applied to the multiple number of batteries it is difficult to maintain the accuracy of the estimation over all cells due to the difference in parameter value of each cell. Moreover the difference in the parameter of each cell may become larger as the operation time accumulates due to aging. In this paper a novel Deep Neural Network (DNN) based SOC estimation method for multi cell application is proposed. In the proposed method DNN is implemented to learn non-linear relationship of the voltage and current of the lithium-ion battery at different SOCs and different temperatures. In the training the voltage and current data of the Lithium battery at charge and discharge cycles obtained at different temperatures are used. After the comprehensive training with the data obtained with a cell resulting estimation algorithm is applied to the other cells. The experimental results show that the Mean Absolute Error (MAE) of the estimation is 0.56% at 25℃, and 3.16% at 60℃ with the proposed SOC estimation algorithm.

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Remaining Useful Life of Lithium-Ion Battery Prediction Using the PNP Model (PNP 모델을 이용한 리튬이온 배터리 잔존 수명 예측)

  • Jeong-Gu Lee;Gwi-Man Bak;Eun-Seo Lee;Byung-jin Jin;Young-Chul Bae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1151-1156
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    • 2023
  • In this paper, we propose a deep learning model that utilizes charge/discharge data from initial lithium-ion batteries to predict the remaining useful life of lithium-ion batteries. We build the DMP using the PNP model. To demonstrate the performance of DMP, we organize DML using the LSTM model and compare the remaining useful life prediction performance of lithium-ion batteries between DMP and DML. We utilize the RMSE and RMSPE error measurement methods to evaluate the performance of DMP and DML models using test data. The results reveal that the RMSE difference between DMP and DML is 144.62 [Cycle], and the RMSPE difference is 3.37 [%]. These results indicate that the DMP model has a lower error rate than DML. Based on the results of our analysis, we have showcased the superior performance of DMP over DML. This demonstrates that in the field of lithium-ion batteries, the PNP model outperforms the LSTM model.

Electrochemical Properties of 1,1-Dialkyl-2,5-bis(trimethylsilylethynyl)siloles as Anode Active Material and Solid-state Electrolyte for Lithium-ion Batteries

  • Hyeong Rok Si;Young Tae Park
    • Journal of the Korean Chemical Society
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    • v.67 no.6
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    • pp.429-440
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    • 2023
  • 1,1-Dialkyl-2,5-bis(trimethylsilylethynyl)-3,4-diphenylsiloles (R=Et, i-Pr, n-Hex; 3a-c) were prepared and utilized as anode active materials for lithium-ion batteries; 3a was also used as a filler for the solid-state electrolytes (SSE). Siloles 3a-c were prepared by substitution reactions in which the two bromine groups of 1,1-dialkyl-2,5-dibromo-3,4-diphe- nylsiloles, used as precursors, were substituted with trimethylsilylacetylene in the presence of palladium chloride, copper iodide, and triphenylphosphine in diisopropylamine. Among siloles 3a-c, 3a had the best electrochemical properties as an anode material for lithium-ion batteries, including an initial capacity of 758 mAhg-1 (0.1 A/g), which was reduced to 547 mAhg-1 and then increased to 1,225 mAhg-1 at 500 cycles. A 3a-composite polymer electrolyte (3a-CPE) was prepared using silole 3a as an additive at concentrations of 1, 2, 3, and 4 wt.%. The 2 wt.% 3a-CPE composite afforded an excellent ionic conductivity of 1.09 × 10-3 Scm-1 at 60℃, indicating that silole 3a has potential applicability as an anode active material for lithium-ion batteries, and can also be used as an additive for the SSE of lithium-ion batteries.

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

  • Hwang, June-Hyeon;Hong, Tae-Whan
    • Korean Journal of Materials Research
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    • v.32 no.10
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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.

Development of High Performance Battery for Navigation Aid's Power (항로표지(등부표) 전원공급용 고성능 축전지 개발)

  • Yoon, Seok-Jun;Cho, Myung-Hun;Lee, Dae-Pyo
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2009.06a
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    • pp.435-438
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    • 2009
  • A navigation aid buoy is a kind of safety facility for maritime navigation with a purpose of leading the vessels for navigating, docking and sail off. An advanced rechargeable battery is required for stable power supply for navigation aid buoy as the high magnitude LED lamps, real time location/control for navigation aids and e-Navigation support systems with maritime climate observation equipments have recently been deployed. This study is focused on the lithium battery, especially lithium polymer battery which is believed to be safer than the other types of batteries. The lithium polymer battery reviewed in this study is designed with $LiFePO_4$-based cathode, which has superior safety features to the oxide-based cathodes. Besides, a 3.6kWh battery pack has been built with the above-mentioned unit cells for the purpose of comparative research with lead acid battery system.

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Detection of Acoustic Signal Emitted during Degradation of Lithium Ion Battery (리튬이온전지의 열화손상에 의한 음향방출 신호 검출)

  • Choi, Chan-Yang;Byeon, Jai-Won
    • Journal of the Korean Society for Nondestructive Testing
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    • v.33 no.2
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    • pp.198-204
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    • 2013
  • Acoustic emission(AE) signal was detected during charge and discharge of lithium ion battery to investigate relationships among cumulative count, discharge capacity, and microdamages. AE signal was received during accelerated charge/discharge cycle test of a coin-type commercial battery. A number of AE signals were successfully detected during charge and discharge, respectively. With increasing number of cycle, discharge capacity was decreased and AE cumulative count was observed to increase. Microstructural observation of the decomposed battery after cycle test revealed mechanical damages such as interface delamination and microcracking of the electrodes. These damages were attributed to sources of the detected AE signals. Based on a linear correlation between discharge capacity and cumulative count, feasibility of AE technique for evaluation of battery degradation was suggested.

The characteristics of polymer electrolyte for lithium polymer battery

  • Park Soo-Gil;Park Jong-Eun;Lee Ju-Seong
    • Journal of the Korean Electrochemical Society
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    • v.2 no.1
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    • pp.1-4
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    • 1999
  • A lithium ion battery with polymer electrolyte is expected as a safe and long cycle life battery. This paper reports primarily the recent development results of a solid polymer electrolyte, which is a key factor of the secondary battery system, that has been obtained during the process of the development of a polymer type lithium battery. As a successful result of the solid polymer electrolyte. The ionic conductivity of the solid polymer electrolyte, which is composed of polyacrylonitrile and $LiClO_4\;with\; Al_2O_3$ dissolved as the supporting electrolyte, has been confirmed to be $2.3\times10^{-4} S/cm$ at room temperature.

A novel free-standing anode of CuO nanorods in carbon nanotube webs for flexible lithium ion batteries

  • Lee, Sehyun;Song, Hyeonjun;Hwang, Jun Yeon;Kim, Seung Min;Jeong, Youngjin
    • Carbon letters
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    • v.27
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    • pp.98-107
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    • 2018
  • Free-standing electrodes of CuO nanorods in carbon nanotubes (CNTs) are developed by synthesizing porous CuO nanorods throughout CNT webs. The electrochemical performance of the free-standing electrodes is evaluated for their use in flexible lithium ion batteries (LIBs). The electrodes comprising CuO@CNT nanocomposites (NCs) were characterized by charge-discharge testing, cyclic voltammetry, and impedance measurement. These structures are capable of accommodating a high number of lithium ions as well as increasing stability; thus, an increase of capacity in long-term cycling and a good rate capability is achieved. We demonstrate a simple process of fabricating free-standing electrodes of CuO@CNT NCs that can be utilized in flexible LIBs with high performance in terms of capacity and cycling stability.

Rapid-Charging Solution for 18650 Cylindrical Lithium-Ion Battery Packs for Forklifts

  • Kim, Dong-Rak;Kang, Jin-Wook;Eom, Tae-Ho;Kim, Jun-Mo;Lee, Jeong;Won, Chung-Yuen
    • Journal of Electrochemical Science and Technology
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    • v.9 no.3
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    • pp.184-194
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    • 2018
  • In this paper, we propose a rapid-charging system for the lithium-ion battery (LIB) packs used in electric forklifts. The battery offers three benefits: reduced charge time, prolonged battery life, and increased charging efficiency. A rapid-charging algorithm and DC/DC converter topology are proposed to achieve these benefits. This algorithm is developed using an electrochemical model, which controls the maximum charging current limit depending on the cell voltage and temperature. The experimental use of a selected 18650 LIB cell verified the prolongation of battery life on use of the algorithm. The proposed converter offers the same topological merits as a conventional resonant converter but solves the light-load regulation problem of conventional resonant converters by adopting pulse-width modulation. A 6.6-kW converter and charging algorithm were used with a forklift battery pack to verify this method's operational principles and advantages.