Abstract
Lithium batteries are currently used as the main energy storage for electronic devices. Progress in the field of portable electronic devices is significantly determined by the improvement of their weight/dimensional characteristics and specific capacity. In addition to the high reliability required of lithium batteries, in some critical applications proper diagnostics are required. Corresponding techniques allow prediction and prevention of operation interruption and avoidance of expensive battery replacement, and also provide additional benefits. Many effective diagnostic methods have been suggested; however, most of them require expensive experimental equipment, as well as interruption or strong perturbation of the operating mode. In the framework of this investigation, a simple diagnostic method based on analysis of transient processes is proposed. The transient response is considered as a reaction to an applied load variation that typically corresponds to normal operating conditions for most real applications. The transient response contains the same information as the impedance characteristic for the system operating in linear mode. Taking into account the large number of publications describing the impedance response associated with diagnostic methods, it can be assumed that the transient response contains a sufficient amount of information for creation of effective diagnostic systems. The proposed experimental installation is based on a controlled load, providing current variation, measuring equipment, and data processing electronics. It is proposed to use the second exponent parameters U2 and β to estimate the state of charge for secondary lithium batteries. The proposed method improves the accuracy and reliability of a set of quantitative parameters associated with electrochemical energy sources.
Similar content being viewed by others
References
L. Lu, X. Han, J. Li, J. Hua, and M. Ouyang, J. Power Sources 226, 272 (2013).
K. Buss, P. Wrobel, and Ch. Doetsch, Int. J. Sustain. Energy Plan. Manag. 9, 31 (2016).
H. He, X. Zhang, R. Xiong, Y. Xu, and H. Guo, Energy 39, 310 (2012).
L. Sanier, R. Bouchet, M. Rosso, and J.-M. Tarascon, J. Power Sources 158, 564 (2006).
Ch. Lin, A. Tanga, and W. Wang, Energy Procedia 75, 1920 (2015).
S. Martemianov, N. Adiutanov, Yu.K. Evdokimov, L. Madier, F. Maillard, and A. Thomas, J. Solid State Electrochem. 19, 2803 (2015).
E.S. Denisov, Yu.K. Evdokimov, S. Martemianov, A. Thomas, and N. Adiutantov, Fuel Cells 17, 225 (2017).
M.A. Rubio, K. Bethune, A. Urquia, and J. St-Pierre, Int. J. Hydrogen Energy 41, 14991 (2016).
Yu.K. Evdokimov and E. Denisov, Proc. SPIE 8787, 87870E (2013).
Yu.K. Evdokimov, E. Denisov, and S. Martemianov, Nonlinear World 7, 706 (2009).
X. Yuan, H. Wang, J.C. Sun, and J. Zhang, Int. J. Hydrogen Energy 32, 4365 (2007).
E.S. Denisov, Nonlinear World 6, 483 (2008).
E.-M. Hammer, B. Berger, and L. Komsiyska, Int. J. Renew. Energy Dev. 3, 7 (2014).
K.R. Cooper and M. Smith, J. Power Sources 160, 1088 (2006).
P. Boskoski, A. Debenjak, and B.M. Boshkoska, Fast Electrochemical Impedance Spectroscopy as a Statistical Condition Monitoring Tool (SpringerBriefs in Applied Sciences and Technology) (New York: Springer, 2017), p. 83.
G. Timergalina, T. Nikishin, E.S. Denisov, and R.R. Nigmatullin, in Systems of Signal Synchronization, Generating and Processing in Telecommunications (2017), pp. 1–5.
D. Taylor, T.I. Pritchard, I.C. Butler, and P.S.A. Evans, Analog Integr. Circ. Signal Process. 8, 201 (1995).
H.-G. Schweiger, O. Obeidi, O. Komesker, A. Raschke, M. Schiemann, C. Zehner, M. Gehnen, M. Keller, and P. Birke, Sensors 10, 5604 (2010).
V.G. Kumar, N. Munichandraiah, and A.K. Shukla, J. Power Sources 63, 203 (1996).
R.R. Nigmatullin, D. Baleanu, E. Dinch, Z. Ustundag, A.O. Solak, and R.V. Kargin, J. Comput. Theor. Nanosci. 7, 1 (2010).
M.L. Ciurea, S. Lazanu, I. Stavaracher, A.-M. Lepadatu, V. Iancu, M.R. Mitroi, R.R. Nigmatullin, and C.M. Baleanu, J. Appl. Phys. 109, 013717 (2011).
W. Ait Ahmed, M. Aggour, and F. Bennani, J. Energy Syst. 1, 56 (2017).
N. Adhikari, B. Singh, and A. Lal Vyas, Int. J. Renew. Energy Technol. 6, 65 (2015).
V.H. Johnson, A.A. Pesaran, and T. Sack, Temperature-dependent battery models for high-power lithium-ion batteries (Golden: National Renewable Energy Laboratory, 2001).
A. Rahmoun and H. Biechl, Przegl. Elektrotech. 88, 152 (2012).
L. Wang, J. Zhao, X. He, J. Gao, J. Li, Ch. Wan, and Ch. Jiang, Int. J. Electrochem. Sci. 7, 345 (2012).
G. Babu, N. Kalaiselvi, and D. Bhuvaneswari, J. Electron. Mater. 43, 1062 (2014).
J. Zhu, K. Zeng, and L. Lu, Metall. Mater. Trans. A 44, 26 (2013).
Y. Zhang, Ch.-Y. Wang, and X. Tang, J. Power Sources 196, 1513 (2011).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Denisov, E., Nigmatullin, R., Evdokimov, Y. et al. Lithium Battery Transient Response as a Diagnostic Tool. J. Electron. Mater. 47, 4493–4501 (2018). https://doi.org/10.1007/s11664-018-6346-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11664-018-6346-y