Bat Optimization for a Dual-Source Energy Management in an Electric Vehicle Energy Storage Strategy
Article Sidebar
Main Article Content
Abstract
This paper presents a new strategy of dual source management using Bat-optimization for an electric vehicle energy storage strategy. The power distribution between fuel cell and super-capacitor modules for obtain a good performance is an essential problem in dual-source electric vehicles. Traditional numerical optimization for energy management relies too much on the expert experience, and it's easy to get the sub-optimal performance. In order to overcome this drawback, a new intelligent method metaheuristic of Bat optimization is introduced for energy management in dual-source propelled electric vehicle. This work, based on the systemic power analysis in the energy storage strategy, the vehicle power propulsion system encounters and the constraints the energy storage strategy should obey. Then, dierent operation modes of dual-source systemic power analysis in energy storage strategy are presented. Finally, the results show the validity of the proposed technique.
Article Details
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
- Creative Commons Copyright License
The journal allows readers to download and share all published articles as long as they properly cite such articles; however, they cannot change them or use them commercially. This is classified as CC BY-NC-ND for the creative commons license.
- Retention of Copyright and Publishing Rights
The journal allows the authors of the published articles to hold copyrights and publishing rights without restrictions.
References
[2] A. Burke, "Ultra-capacitors: why, how, and where is the technology," J. Power Sources, vol. 91, iss. 4, pp. 37-50, Jan. 2000.
[3] MJ. X. Yan, and D. Patterson, "Improvement of drive range, acceleration and deceleration performances in an electric vehicle propulsion system," in Proc. Power Electron. Specialists Conf., 1999,
pp. 638-643.
[4] A. Payman, J.-P. Martin, and S. Pierfederici, "Energy management of a fuel cell/supercapacitor/battery power source for electric vehicular applications," IEEE Trans. Veh. Tech., vol. 60, no. 2, pp. 433-443, Feb. 2001.
[5] J. D. Altringham, Bats: Biology and Behaviour, Oxford, United Kingdom, Oxford Univesity Press, 1996.
[6] X.-S. Yang, Nature-inspired metaheuristic algorithms, 2nd ed. , Bristol, United Kingdom, Luniver Press, 2010.
[7] X.-S. Yang, "A new metaheuristic Bat-inspired Algorithm", Studi. Computational Intell., vol. 284, no. 3, pp. 65-74, Mar. 2010.
[8] P.W. Tsai, J. S. Pan, B. Y. Liao,M. J. Tsai, and V. Istanda, "Bat algorithm inspired algorithm for solving numerical optimization problems," Appl. Mechanics Materials, vol. 148-149, no. 6, pp. 134-137, Jun. 2011.
[9] H.J. Chill, and L.W. Lin, "A bidirectional DC DC converter for fuel cell electric vehicle driving system," IEEE Trans. Power Electron., vol. 21, no. 5, pp. 950-958, Sept. 2006.
[10] A. Hazzab, I.K. Bousserhane, S. Hadjeri, and P. Sicard, "Fuzzy-sliding mode speed control for two wheels electric vehicle drive," J. Elect. Eng. & Tech., vol. 4, no. 4, pp. 499-509, Feb. 2009.
[11] T. D. Chan, and K. T. Chau, Modern Electric Vehicle Technology, Cambridge, United Kingdom, Oxford Univesity Press, 2001.
[12] Y X.-S. Yang, Nature-inspired metaheuristic algorithms, Cambridge, United Kingdom, Luniver Press, 2008.
[13] C. Grosan, and A. Abraham, "A new approach for solving nonlinear equations systems", IEEE Trans. Syst., Man, Cybern. A, vol. 38, no. 3, pp. 698-714, Jun. 2008.
[14] X.-S. Yang, "Bat algorithm for multi-objective optimization", Int. J. Bio-Inspired Computation Bio-Inspired Computation, vol. 3, no. 5, pp. 267-274, Mar. 2011.
[15] B. Allaoua, B. Mebarki, and A. Laou, "A Robust fuzzy sliding mode controller synthesis applied on boost DC-DC converter power supply for electric vehicle propulsion system," Int.l J. Vehi. Tech., vol. 2013, no. 2, pp. 1-9, Apr. 2013.
[16] B. Allaoua, and A. Laou, "A novel sliding mode fuzzy control based on SVM for electric vehicles propulsion system," ECTI trans. elect. eng., electron. commun., vol.10, no.2, pp. 153-163, Jun. 2012.
[17] K. Khan, and A. Sahai, "A Comparison of BA, GA, PSO, BP and LM for training feed forward neural networks in e-Learning context," I.J. Intelligent Syst. Applicat., vol. 7, no. 7, pp. 23-29, Jun. 2012.
[18] T. C. Bora, L. S. Coelho, and L. Lebensztajn, "Bat-inspired optimization approach for the brushless DC wheel motor problem," IEEE Trans. Magn., vol. 48, no. 2, pp. 947-950, Jun. 2012.
[19] S. M. Lukic, J. Cao, R. C. Bansal, F. Rodriguez, and A. Emadi, "Energy storage systems for automotive applicationss," IEEE Trans. Ind. Electron., vol. 55, no. 6, pp. 2258-2267, Jan. 2008.
[20] P. Thounthong, B. Davat, and S. Rael, "Drive friendly: Fuel cell/supercapacitor hybrid power source for future automotive power generation," IEEE Power Energy, vol. 6, no. 1, pp. 69-76, Mar. 2008.
[21] P. Thounthong, S. Rael, and B. Davat, "Control strategy of fuel cell/supercapacitors hybrid power sources for electric vehicle," J. Power Sources, vol. 158, pp. 806-814, Aug. 2006.
[22] M. Uzunoglu, and M. S. Alam, "Modeling and analysis of an FC/UC hybrid vehicular power system using a novel-wavelet-based load sharing algorithm," IEEE Trans. Energy Convers., vol. 23, no. 1, pp. 263-272, Nov. 2008.
[23] P. Thounthong, S. Rael, and B. Davat, "Control algorithm of fuel cell and batteries for distributed generation system", IEEE Trans. Energy Convers., vol. 23, no. 1, pp. 148-155, Feb. 2008.