Научная электронная библиотека ULRICH'S Periodicals Directory

Сибирский государственный университет
науки и технологий имени академика М.Ф. Решетнева

Сибирский аэрокосмический журнал
ISSN 2712-8970 (Print) ISSN 2782-5760 (on-line)

Сведения об образовательной организации

UDK 621.355: 519.713
EVALUATION OF LITHIUM-ION BATTERY DISCHARGE CAPACITY BASED ON THE REFERENCE MODEL
M. M. Khandorin1, V. G. Bukreev2
1Joint Stock Company “Research and Production Center “Polus” 56v, Kirov Av., Tomsk, 634050, Russian Federation E-mail: m.khandorin@gmail.com 2National Research Tomsk Polytechnic University 30, Lenin Av., Tomsk, 634050, Russian Federation E-mail: bukreev@tpu.ru
The method of lithium-ion battery remaining capacity has been developed. The short overview of approaches to solving this problem is provided in this paper. The integrating ampere-hour counter adjustment method based on the Thevenin model has been developed. The state of charge dependent parameters of Thevenin model is defined in discrete values. Model parameters interpolation has been made using the cubic spline, wherein a parameter’s values are used as its nodes. To reduce a spline coefficients algorithm computational complexity a uniform grid of values is used. The modeling results in Matlab Simulink software of algorithm work are provided. The relative error of remain-ing capacity estimation was less than 6 %. The microcontroller consumption has been also rated in this paper.
lithium-ion battery, integrating ampere-hour counter, Thevenin model, spline-interpolation.
References

1. Application note 131.  Lithium-Ion Cell Fuel Gauging with Maxim Battery Monitor ICs. Available at : http://www.maximintegrated.com/design/techdocs/app-notes/index.mvp/id/5/c/Battery%20Management#c5.

2. Chang W. Y. The State of Charge Estimating Methods for Battery: A Review. Hindawi Publishing Corporation ISRN Applied Mathematics, 2013, Article ID 953792.

3. Salkind A. J., Fennie C., Singh P., Atwater T., Reisner D. E. Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodology, Journal of Power Sources, vol. 80, no. 1–2, p. 293–300, 1999.

4. Shifei Y., Hongjie W. and Chengliang Y. State of Charge Estimation Using the Extended Kalman Filter for Battery Management Systems Based on the ARX Battery Model. Energie, 2013, 6, p. 444–470

5. Taganova A. A. Germetichnie khimicheskie istochniki toka. Elementi i akkumuliatori, oborodovanie dlia ispitanii i ekspluatacii (Sealed chemical power sources. Butteries, equipment for tests and exploitation).
St. Petersburg, Himizdat, 2005.  

6. Hongwen H., Rui X., Jinxin F. Evaluation of Lithium-Ion Battery Equivalent Circuit Models for State of Charge Estimation by an Experimental Approach. Energies. 2011, № 4, p. 582–598.

7. Rahmoun A., Biechl H. Modelling of Li-ion batteries using equivalent circuit diagrams. Przeglądelektrotechniczny (Electrical Review). 2012, № 7b, p. 152–156.

8. Rogers D., Adams D. Matamaticheskie osnovi mashinnoi gpafiki (Mathematical basis of computer graphics). Moscow, Mir Pabl., 2001.


Khandorin Mikhail Mikhailovich – postgraduate student, Joint-Stock Company “Scientific & Industrial Centre “Polyus”. E-mail: m.khandorin@gmail.com

Bukreev Viktor Grigoryevich – Doctor of Engineering Science, Professor, National research “Tomsk Polytechnic University”. E-mail: bukreev@tpu.ru