• Title/Summary/Keyword: Lithium secondary cell

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The Study on Thermal Modeling and Charge Capacity Estimation for Lithium Secondary Battery (리튬 2차 전지의 열적 모델링 및 용량 예측에 관한 연구)

  • Kim, Jong-Won;Cho, Hyun-Chan;Kim, Kwang-Sun;Jo, Jang-Gun;Lee, Jung-Su;Hu, Bin
    • Journal of the Semiconductor & Display Technology
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    • v.6 no.1
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    • pp.53-57
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    • 2007
  • In this paper, the intelligent estimation algorithm is developed for residual quantity estimate of lithium secondary cell and we suggest the control algorithm to get battery SOC through thermal modeling of electric cell. Lithium secondary cell gives cycle life, charge characteristic, discharge characteristic, temperature characteristic, self-discharge characteristic and the capacity recovery rate etc. Therefore, we make an accurate estimate of the capacity of battery according to thermal modeling to know the capacity of electric cell that is decreased by various special quality of lithium secondary cell. And we show effectiveness through comparison of value as result that use simulation and fuzzy logic.

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리튬 2차 전지의 1차원 열적 특성을 고려한 지능형 용량예측

  • Lee, Jeong-Su;Ho, Bin;Kim, Gwang-Seon;Im, Geun-Uk;Jo, Jang-Gun;Jo, Hyeon-Chan
    • Proceedings of the Korean Society Of Semiconductor Equipment Technology
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    • pp.244-249
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    • 2007
  • In this paper, in order to get the characteristics of the lithium secondary cell, such as cycle life, charge and discharge characteristic, temperature characteristic, self-discharge characteristic and the capacity recovery rate etc, we build a mathematical model of battery. In this one-dimensional model, Seven governing equations are made to solve seven variables $c,\;c_s,\;{\Phi}_1,\;{\Phi}_2,\;i_2,\;j\;and\;T$. The mathematical model parameters used in this model have been adjusted according to the experimental data measured in our lab. The connecting research of this study is to get an accurate estimate of the capacity of battery through comparison of results from simulation and fuzzy logic system. So the result data from this study is reorganized to fit the fuzzy logic algorithm.

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Impedance Estimation for Lithium Secondary Battery According to 1D Thermal Modeling (리튬 2차 전지의 1차원 열적 특성을 고려한 임피던스예측)

  • Lee, Jung-Su;Lim, Geun-Wook;Kim, Kwang-Sun;Cho, Hyun-Chan;Yoo, Sang-Gil
    • Journal of the Semiconductor & Display Technology
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    • v.7 no.2
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    • pp.13-17
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    • 2008
  • In this paper, in order to get the characteristics of the lithium secondary cell, such as charge and discharge characteristic, temperature characteristic, self-discharge characteristic and the capacity recovery rate etc, we build a thermal model that estimate the impedance of battery by experiment & simulation. In this one-dimensional model, Seven governing equations are made to solve seven variables c, $c_s,\;\Phi_1,\;\Phi_2,\;i_2$, j and T. The thermal model parameters used in this model have been adjusted according to the experimental data measured in the laboratory. The result(Voc, Impedance) of this research can be used in BMS(Battery Management System), so an efficient method of using battery is developed.

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