Liang Huang, Chang Yao. Working Condition Real-Time Monitoring Model of Lithium Ion Batteries Based on Distributed Parameter System and Single Particle Model[J]. Chinese Journal of Chemical Physics , 2016, 29(5): 623-628. doi: 10.1063/1674-0068/29/cjcp1604063
Citation: Liang Huang, Chang Yao. Working Condition Real-Time Monitoring Model of Lithium Ion Batteries Based on Distributed Parameter System and Single Particle Model[J]. Chinese Journal of Chemical Physics , 2016, 29(5): 623-628. doi: 10.1063/1674-0068/29/cjcp1604063

Working Condition Real-Time Monitoring Model of Lithium Ion Batteries Based on Distributed Parameter System and Single Particle Model

doi: 10.1063/1674-0068/29/cjcp1604063
  • Received Date: 2016-04-01
  • Rev Recd Date: 2016-05-09
  • Lithium ion batteries are complicated distributed parameter systems that can be described preferably by partial differential equations and a field theory. To reduce the solution difficulty and the calculation amount, if a distributed parameter system is described by ordinary differential equations (ODE) during the analysis and the design of distributed parameter system, the reliability of the system description will be reduced, and the systemic errors will be introduced. Studies on working condition real-time monitoring can improve the security because the rechargeable LIBs are widely used in many electronic systems and electromechanical equipment. Single particle model (SPM) is the simplification of LIB under some approximations, and can estimate the working parameters of a LIB at the faster simulation speed. A LIB modelling algorithm based on PDEs and SPM is proposed to monitor the working condition of LIBs in real time. Although the lithium ion concentration is an unmeasurable distributed parameter in the anode of LIB, the working condition monitoring model can track the real time lithium ion concentration in the anode of LIB, and calculate the residual which is the difference between the ideal data and the measured data. A fault alarm can be triggered when the residual is beyond the preset threshold. A simulation example verifies that the effectiveness and the accuracy of the working condition real-time monitoring model of LIB based on PDEs and SPM.
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  • [1] H. Deng, M. Jiang, and C. Q. Huang, J. Process Control 22, 404 (2012).
    [2] M. P. Kummer, J. J. Abbott, B. E. Kratochvil, R. Borer, A. Sengul, and B. J. Nelson, IEEE Trans. Rob. 26, 1006 (2010).
    [3] L. Huang and J. Y. Li, Acta Phys. Sin. 64, 108202 (2015).
    [4] W. Pawlus and H. R. Karimi, J. Mechanical Sci. Tech-nol. 25, 1737 (2011).
    [5] A. Amini-Harandi and H. Emami, Nonlinear Anal. The-ory Methods Appl. 72, 2238 (2010). [6] L. Huang, J. J. Hou, Y. Liu, and Y. Guo, Chin. J. Electronics 22, 615 (2013).
    [6] M. Oh and C. C. Pantelides, Comput. Chem. Eng. 20, 611 (1996).
    [7] S. Ghantasala and N. H. El-Farra, Automatica 45, 2368 (2009).
    [8] M. A. Demetriou, ESAIM 7, 43 (2002).
    [9] A. Armaou and M. A. Demetriou, AIChE J. 54, 2651 (2008).
    [10] J. W. Fergus, J. Power Sources 195, 939 (2010).
    [11] W. Chen, W. T. Chen, M. Saif, M. F. Li, and H. Wu, IEEE Trans. Control Syst. Technol. 22, 290 (2013).
    [12] M. Chen and G. A. Rincon-Mora, IEEE Trans. Energy Convers. 21, 504 (2006).
    [13] S. Santhanagopalan, Q. Guo, P. Ramadass, and R. E. White, J. Power Sources 156, 620 (2006).
    [14] S. J. Moura, N. A. Chaturvedi, and M. Krstic, J. Dyn. Syst. Meas. Control 136, 011015 (2014).
    [15] A. P. Schmidt, M. Bitzer, A. W. Imre, and L. Guzzella, J. Power Sources 195, 5071 (2010).
    [16] K. Yuan, H. X. Li, and J. D. Cao, IEEE Trans. Fuzzy Syst. 16, 567 (2008).
    [17] L. Cai and R. E. White, J. Power Sources 196, 5985 (2011).
    [18] B. Y. Jia, D. W. Hu, B. Z. Xie, K. Dong, and H. Liu, Biosens. Bioelectron. 41, 894 (2013).
    [19] A. V. Wouwer, P. Saucez, and W. E. Schiesser, Ind. Eng. Chem. Res. 43, 3469 (2004).
    [20] C. De Las Casas and W. Z. Li, J. Power Sources 208, 74 (2012).
    [21] W. J. Zhang, J. Power Sources 196, 13 (2011).
  • 加载中
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Working Condition Real-Time Monitoring Model of Lithium Ion Batteries Based on Distributed Parameter System and Single Particle Model

doi: 10.1063/1674-0068/29/cjcp1604063

Abstract: Lithium ion batteries are complicated distributed parameter systems that can be described preferably by partial differential equations and a field theory. To reduce the solution difficulty and the calculation amount, if a distributed parameter system is described by ordinary differential equations (ODE) during the analysis and the design of distributed parameter system, the reliability of the system description will be reduced, and the systemic errors will be introduced. Studies on working condition real-time monitoring can improve the security because the rechargeable LIBs are widely used in many electronic systems and electromechanical equipment. Single particle model (SPM) is the simplification of LIB under some approximations, and can estimate the working parameters of a LIB at the faster simulation speed. A LIB modelling algorithm based on PDEs and SPM is proposed to monitor the working condition of LIBs in real time. Although the lithium ion concentration is an unmeasurable distributed parameter in the anode of LIB, the working condition monitoring model can track the real time lithium ion concentration in the anode of LIB, and calculate the residual which is the difference between the ideal data and the measured data. A fault alarm can be triggered when the residual is beyond the preset threshold. A simulation example verifies that the effectiveness and the accuracy of the working condition real-time monitoring model of LIB based on PDEs and SPM.

Liang Huang, Chang Yao. Working Condition Real-Time Monitoring Model of Lithium Ion Batteries Based on Distributed Parameter System and Single Particle Model[J]. Chinese Journal of Chemical Physics , 2016, 29(5): 623-628. doi: 10.1063/1674-0068/29/cjcp1604063
Citation: Liang Huang, Chang Yao. Working Condition Real-Time Monitoring Model of Lithium Ion Batteries Based on Distributed Parameter System and Single Particle Model[J]. Chinese Journal of Chemical Physics , 2016, 29(5): 623-628. doi: 10.1063/1674-0068/29/cjcp1604063
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