DIMENSIONES O TAMAÑO DE LA PLANTA

In this task a complete analysis of the proposed method for dynamic model could not done. However the dynamic model implemented in Simulink must look like. It was unable to implemented completely due to the span of the thesis work. The figure 8.1 illustrates the overall battery simulink model

A variant of Nonlinear AutoRegressive Exogenous (NARX) variant of neural network, which has the capability to model dynamic responses was tried out but could not suc-cesfuly analyse, as the time and measurement data in hand were insufficient.

Based on the presented work in this thesis , the following suggestions are provided for further explorations:

Figure 8.1: The Matlab Simulink model of the Dynamic Battery model

1. The implemented design for static models did not account for considering time as an input, probably in the future work sampling rate could also be considered into the model building as this may have an effect on dynamic battery model.

2. The Battery model can further be improved by incorporating state of health and ageing factors into the design. Over a given duration and period of tests, the model parameters could be determined.

3. An on-line method could be determined to estimate the static model parameters and can be dynamically update on the dynamic model based on Temperature, SOC and voltage.

4. There are variants developed recently for Support vector regression to implement dynamic model.

[1] Kraftfahrt Bundesamt. Kraftfahrt-bundesamt-2015-neuzulassungsbarometer im dezember 2015. URLhttp://www.kba.de/DE/Statistik/Fahrzeuge/fahrzeuge_

node.html. last accessed, 27 April, 2016.

[2] United States Department of Energy Argonne National Laboratory. Global plug-in light vehicle sales increased by about 80% in 2015. URLhttp://energy.gov/eere/

office-energy-efficiency-renewable-energy. last accessed, 27 April, 2016.

[3] gigaom. Gigaom — the three laws of batteries.

[4] Thomas B. Reddy and David Linden. Linden’s handbook of batteries. McGraw-Hill, New York, N.Y [u.a.], 4. ed. edition, 2011. ISBN 9780071624213. URL https://katalog.bibliothek.tu-chemnitz.de/Record/0008455662. Dem Be-grnder David Linden (1923 - 2008) gewidmet.

[5] LG Chem Power Inc. Battery management system operations.

[6] ICCexergy. Properties of different batteries.

[7] Languang Lu, Xuebing Han, Jianqiu Li, Jianfeng Hua, and Minggao Ouyang. A review on the key issues for lithium-ion battery management in electric vehicles.

Journal of Power Sources, 226:272–288, mar 2013. ISSN 03787753. doi: 10.1016/j.

jpowsour.2012.10.060. URLhttp://www.sciencedirect.com/science/article/

pii/S0378775312016163.

[8] Inc. The MathWorks. Neural Networks Toolbox Release 2014a. The MathWorks Inc., Natick, Massachusetts,United States, 2014. URLhttp://in.mathworks.com/

help/nnet/index.html.

[9] Vicente Franco, Marina Kousoulidou, Marilena Muntean, Leonidas Ntziachris-tos, Stefan Hausberger, and Panagiota Dilara. Road vehicle emission factors

105

development: A review. Atmospheric Environment, 70:84 – 97, 2013. ISSN 1352-2310. doi: http://dx.doi.org/10.1016/j.atmosenv.2013.01.006. URL http:

//www.sciencedirect.com/science/article/pii/S1352231013000137.

[10] Marketing William MacDougall, Germany Trade Communications, and Invest. E-mobility in germany vision 2020 and beyond. URLwww.gtai.com. Germany Trade and Invest, February 2015.

[11] Christian Fellner and John Newman. High-power batteries for use in hybrid vehicles.

Journal of Power Sources, 85(2):229 – 236, 2000. ISSN 0378-7753. doi: http:

//dx.doi.org/10.1016/S0378-7753(99)00344-4. URLhttp://www.sciencedirect.

com/science/article/pii/S0378775399003444.

[12] C. M. Shepherd. Design of primary and secondary cells: Ii . an equation describ-ing battery discharge. Journal of The Electrochemical Society, 112(7):657–664, 1965. doi: 10.1149/1.2423659. URLhttp://jes.ecsdl.org/content/112/7/657.

abstract.

[13] Olivier Tremblay, Member Ieee, Louis-a Dessaint, Senior Member Ieee, and Abdel-illah Dekkiche. A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles. Electrical Engineering, (V):284–289, 2007. doi: 10.1109/VPPC.

2007.4544139.

[14] Katerina E. Aifantis. High energy density lithium batteries : Materials, engineering, applications. Wiley-VCH, Weinheim, 2010. ISBN 9783527324071. URL https:

//katalog.bibliothek.tu-chemnitz.de/Record/0000537824. Hier auch spter erschienene, unvernderte Nachdrucke.,”http://d-nb.info/998577898/04, http:

//swbplus.bsz-bw.de/bsz316580856cov.htmand”.

[15] MIT Electric Vehicle Team. A guide to understanding battery specifications. De-cember 2008.

[16] Woodbank Communications Ltd. Battery management and monitoring systems bms. The Electropedia. URL http://www.mpoweruk.com/bms.htm. last accessed 26th June 2015.

[17] Gregory L. Plett. Extended kalman filtering for battery management systems of lipb-based {HEV} battery packs: Part 3. state and parameter estimation. Journal

of Power Sources, 134(2):277 – 292, 2004. ISSN 0378-7753. doi: http://dx.doi.org/

10.1016/j.jpowsour.2004.02.033. URLhttp://www.sciencedirect.com/science/

article/pii/S0378775304003611.

[18] D. W. Gao, C. Mi, and A. Emadi. Modeling and simulation of electric and hybrid vehicles. Proceedings of the IEEE, 95(4):729–745, April 2007. ISSN 0018-9219. doi:

10.1109/JPROC.2006.890127.

[19] F. L. Mapelli, D. Tarsitano, and M. Mauri. Plug-in hybrid electric vehicle: Mod-eling, prototype realization, and inverter losses reduction analysis. IEEE Trans-actions on Industrial Electronics, 57(2):598–607, Feb 2010. ISSN 0278-0046. doi:

10.1109/TIE.2009.2029520.

[20] V. Ramadesigan, P. W. C. Northrop, S. De, S. Santhanagopalan, R. D. Braatz, and V. R. Subramanian. Modeling and Simulation of Lithium-Ion Batteries from a Sys-tems Engineering Perspective. Journal of the Electrochemical Society, 159(3):R31–

R45, 2012. ISSN 0013-4651. doi: 10.1149/2.018203jes. URLhttp://www.scopus.

com/inward/record.url?eid=2-s2.0-84857427774{&}partnerID=tZOtx3y1.

[21] Gregory L. Plett. Extended kalman filtering for battery management systems of lipb-based {HEV} battery packs: Part 2. modeling and identification. Journal of Power Sources, 134(2):262 – 276, 2004. ISSN 0378-7753. doi: http://dx.doi.org/

10.1016/j.jpowsour.2004.02.032. URLhttp://www.sciencedirect.com/science/

article/pii/S037877530400360X.

[22] Marc Doyle and John Newman. The use of mathematical modeling in the design of lithium/polymer battery systems. Electrochimica Acta, 40(1314):2191 – 2196, 1995. ISSN 0013-4686. doi: http://dx.doi.org/10.1016/0013-4686(95)00162-8. URL http://www.sciencedirect.com/science/article/pii/0013468695001628. In-ternational symposium on polymer electrolytes.

[23] Parthasarathy M. Gomadam, John W. Weidner, Roger A. Dougal, and Ralph E.

White. Mathematical modeling of lithium-ion and nickel battery systems. Jour-nal of Power Sources, 110(2):267 – 284, 2002. ISSN 0378-7753. doi: http:

//dx.doi.org/10.1016/S0378-7753(02)00190-8. URLhttp://www.sciencedirect.

com/science/article/pii/S0378775302001908.

[24] Lijun Gao, Shengyi Liu, and R. A. Dougal. Dynamic lithium-ion battery model for system simulation. IEEE Transactions on Components and Packaging Technologies, 25(3):495–505, Sep 2002. ISSN 1521-3331. doi: 10.1109/TCAPT.2002.803653.

[25] Low Wen Yao, J. A. Aziz, Pui Yee Kong, and N. R N Idris. Modeling of lithium-ion battery using MATLAB/simulink. IECON Proceedings (Industrial Electronics Conference), pages 1729–1734, 2013. ISSN 1553-572X. doi: 10.1109/IECON.2013.

6699393.

[26] Cd Christopher D. Rahn and Chao-Yang Cy Wang. Battery systems en-gineering. 2012. ISBN 9781119979500. doi: 10.1002/9781118517048.

URL http://books.google.com/books?id=acLS2BrfMVgC{&}pgis=1$\

delimiter"026E30F$nhttp://books.google.com/books?hl=en{&}lr=

{&}id=acLS2BrfMVgC{&}oi=fnd{&}pg=PR1{&}dq=BATTERY+SYSTEMS+

ENGINEERING{&}ots=-kowPxHD1C{&}sig=kIyXkBKGc5SOyxi2f{_}pyuyiqIuw.

[27] M Karthik and S Vijayachitra. Dynamic Modeling and Analysis of Power Sharing Control Strategy Based Fuel Cell / Battery Assisted Hybrid Electric Vehicle System.

International Journal of Renewable Energy Research-IJRER, 5(1), 2015.

[28] Wang Junping, Chen Quanshi, and Cao Binggang. Support vector machine based battery model for electric vehicles. Energy Conversion and Management, 47(7-8):

858–864, 2006. ISSN 01968904. doi: 10.1016/j.enconman.2005.06.013.

[29] Terry Hansen and Chia-Jiu Wang. Support vector based battery state of charge estimator. Journal of Power Sources, 141(2):351 – 358, 2005. ISSN 0378-7753. doi: http://dx.doi.org/10.1016/j.jpowsour.2004.09.020. URL http://www.

sciencedirect.com/science/article/pii/S0378775304010626.

[30] Ramesh Kumar Junnuri, Shivaram Kamat, Nitin Goyal, Ramanathan Annamalai, Dipali Modak, Hiroshi Tashiro, and Nobuya Miwa. Modelling of HEV Lithium-ion high voltage battery pack using dynamic data. IFAC Proceedings Volumes (IFAC-PapersOnline), 19:6448–6453, 2014. ISSN 14746670.

[31] Dan Simon. Optimal state estimation: Kalman, H infinity, and nonlinear ap-proaches. John Wiley & Sons, 2006.

[32] Jiahao Li, Joaquin Klee Barillas, Clemens Guenther, and Michael A. Danzer. A comparative study of state of charge estimation algorithms for LiFePO4 batteries

used in electric vehicles. Journal of Power Sources, 230:244 – 250, 2013. ISSN 0378-7753. doi: http://dx.doi.org/10.1016/j.jpowsour.2012.12.057. URL http://

www.sciencedirect.com/science/article/pii/S0378775312019039.

[33] CF Gauss. Theoria motus corporum coelestium in sectionibus conicis solem ambi-entum (theory of motion of the celestial bodies moving in conic sections around the sun). 1809.

[34] Douglas M. Bates and Donald G. Watts. Nonlinear regression anal-ysis and its applications . Wiley, New York [u.a.], 2007. ISBN 0470139005-9780470139004. http://swbplus.bsz-bw.de/bsz264496973cov.

htm,http://www.gbv.de/dms/weimar/toc/546299857%5Ftoc.pdf and https://

katalog.bibliothek.tu-chemnitz.de/Record/0002946807.

[35] Henri P Gavin. The Levenberg-Marquardt method for nonlinear least squares curve-fitting problems. Department of Civil and Environmental Engineering, Duke Uni-versity, pages 1–17, 2013. ISSN 1042-6914. doi: 10.1080/10426914.2014.941480.

[36] K Madsen, H B Nielsen, and O Tingleff. Methods for non-linear least squares problems. Infomatics and Mathematical Modeling, 2:1–30, 2004. ISSN 1094-4087. doi: 10.1007/s10103-005-0336-z. URL papers2://publication/uuid/

56D7C91D-A181-43BF-ABDB-1219FF7E4D64.

[37] Nello Cristianini and John Shawe-Taylor. An introduction to support vector ma-chines And other kernel-based learning methods. Cambridge University Press, Cambridge, U.K., 2012, c2000. ISBN 9780521780193 - 0521780195. http://

proquest.tech.safaribooksonline.de/9781139636773and,https://katalog.

bibliothek.tu-chemnitz.de/Record/0008952012.

[38] Alexander Smola and Bernhard Sch¨olkopf. A tutorial on support vector re-gression. Statistics and Computing, 14:199–222, 2004. ISSN 0960-3174. doi:

10.1023/B:STCO.0000035301.49549.88. URL http://eprints.pascal-network.

org/archive/00002057/.

[39] Chih-Chung Chang and Chih-Jen Lin. LIBSVM: A library for support vector ma-chines. ACM Transactions on Intelligent Systems and Technology, 2:27:1–27:27, 2011. Software available at url= http://www.csie.ntu.edu.tw/ cjlin/libsvm.

[40] john D’rrico. polyfitn - file exchange - matlab central. http://www.mathworks.

com/matlabcentral/fileexchange/34765-polyfitn. (Accessed on 05/19/2016).

[41] Inc. The MathWorks. MATLAB and Statistics Toolbox Release 2014a. The Math-Works Inc., Natick, Massachusetts,United States, 2014. URLwww.gtai.com.

[42] Kaiwei Chen. Heat Generation Measurements of Prismatic Lithium Ion Batteries -Masters Thesis. PhD thesis, 2013. URLhttps://uwspace.uwaterloo.ca/handle/

10012/7936.

[43] Franz Bechert. Erstellen eines thermischen Simulationsmodelles einer Lithium-Polymer-Batterie. Master thesis, Technische Universit¨at Chemnitz, 2014.

[44] Josef Rozinek. Lithium Ion Battery System Design. Master thesis, Technishe Uni-versit¨at Chemnitz, 2012.

[45] Brian Bole, Chetan S Kulkarni, and Matthew Daigle. Adaptation of an Electrochemistry-based Li-Ion Battery Model to Account for Deterioration Ob-served Under Randomized Use. Annual conference of the Prognostics and Health Management Society, pages 1–9, 2014.

[46] Jiawei Han, Micheline Kamber, and Jian Pei. 3 - data preprocessing. In Ji-awei Han, Micheline Kamber, , and Jian Pei, editors, Data Mining (Third Edi-tion), The Morgan Kaufmann Series in Data Management Systems, pages 83 – 124. Morgan Kaufmann, Boston, third edition edition, 2012. ISBN 978-0-12-381479-1. doi: http://dx.doi.org/10.1016/B978-0-12-978-0-12-381479-1.00003-4. URLhttp:

//www.sciencedirect.com/science/article/pii/B9780123814791000034.

[47] Chih-chung Chang and Chih-jen Lin. LIBSVM : A Library for Support Vector Machines. ACM Transactions on Intelligent Systems and Technology (TIST), 2:

1–39, 2011. ISSN 21576904. doi: 10.1145/1961189.1961199.

[48] Ralf Benger, Heinz Wenzl, Hans Peter Beck, Meina Jiang, Detlef Ohms, and Gunter Schaedlich. Electrochemical and thermal modeling of lithium-ion cells for use in HEV or EV application. World Electric Vehicle Journal, 3(1), 2009. ISSN 20326653.