Li-ion Battery Aging Conscious Intelligent Energy Management Strategy for Hybrid Electric Buses
DOI:
https://doi.org/10.47187/perspectivas.vol1iss2.pp38-45.2019Keywords:
Energy management, Dynamic programming, Fuzzy Logic, Hybrid electric bus, State of health, Energy storage systemsAbstract
This paper aims to propose a battery aging conscious energy management strategy. The initial design of an energy management strategy is a significant point to fulfill the efficiency goals in the short term. However, with aging, the initial conditions may vary. The new trend of digitalization allows monitoring the operation, having the possibility to improve the performance of the initially proposed strategy in the long term. Therefore, a methodology for updating the energy management strategy along the bus lifetime is intended to improve the operating costs and extend the battery lifetime. This methodology is based on a dynamic programming optimization, tuning the membership functions in a fuzzy logic control. The simulation results show a reduction of the operation costs up to 47% as long as it stands for battery (BT) lifetime extension of around 2.94%.
Métricas
References
The latest bull case for electric cars: the cheapest batteries ever. Available: https://www.bloomberg.com/news/articles/2017-12-05/latest-bull-case-forelectric-cars-the-cheapest-batteries-ever, 05-12-2017 [Accessed: 26-04-2018].
Z. Bi, L. Song, R. De Kleine, C. C. Mi, and G. A. Keoleian, “Plug-in vs. wireless charging: Life cycle energy and greenhouse gas emissions for an electric bus system,” Applied Energy, vol. 146, no. February, pp. 11–19, 2015. [Online]. Available: http://dx.doi.org/10.1016/j.apenergy.2015.02.031
R. Dufo-López, “Optimisation of size and control of grid-connected storage under real time electricity pricing conditions,” Applied Energy, vol. 140, pp. 395 – 408, 2015.
J. Du, X. Zhang, T. Wang, Z. Song, X. Yang, H. Wang, M. Ouyang, and X. Wu, “Battery degradation minimization oriented energy management strategy for plugin hybrid electric bus with multi-energy storage system,” Energy, vol. 165, pp. 153–163, 2018. [Online]. Available: https://doi.org/10.1016/j.energy.2018.09.084
L. Tang, G. Rizzoni, and S. Onori, “Energy management strategy for HEVs including battery life optimization,” IEEE Transactions on Transportation Electrification, vol. 1, no. 3, pp. 211–222, 2015.
L. Tang and G. Rizzoni, “Energy management strategy including battery life optimization for a HEV with a CVT,” 2016 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2016, pp. 549–554, 2016.
V. I. Herrera, A. Milo, H. Gaztañaga, J. Ramos, and H. Camblong, “Adaptive and non-adaptive strategies for optimal energy management and sizing of a dual storage system in a hybrid electric bus,” IEEE Transactions on Intelligent Transportation Systems, pp. 1–13, 2018.
T. Takagi and M. Sugeno, “Fuzzy Identification of Systems and Its Applications to Modeling and Control,” IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-15, no. 1, pp. 116–132, 1985.
O. Sundström and L. Guzzella, “A Generic Dynamic Programming Matlab Function,” 18th IEEE International Conference on Control Applications, Saint Petersburg, Russia, no. 7, pp. 1625–1630, 2009.
J. A. Lopez, V. I. Herrera, A. Milo, and H. Gaztañaga, “Energy Management improvement based on Fleet Learning for Hybrid Electric Buses,” in IEEE Vehicle Power and Propulsion Conference (VPPC). Chicago, IL, USA, USA: IEEE, 2018, pp. 2–7. [Online]. Available: https://ieeexplore.ieee.org/document/8605025
Mathworks. Sugeno fuzzy interference system. Available: https://es.mathworks.com/help/fuzzy/sugfis.html [Accessed: 05-12-2018].
M. Dubarry, N. Qin, and P. Brooker, “Calendar aging of commercial Li-ion cells of different chemistries– A review,” Current Opinion in Electrochemistry, vol. 9, pp. 106–113, 2018. [Online]. Available: https://doi.org/10.1016/j.coelec.2018.05.023
D. U. Sauer and H. Wenzl, “Comparison of different approaches for lifetime prediction of electrochemical systems-Using lead-acid batteries as example,” Journal of Power Sources, vol. 176, no. 2, pp. 534–546, 2008.
M. Lucu, E. Martinez-Laserna, I. Gandiaga, and H. Camblong, “A critical review on self-adaptive li-ion battery ageing models,” Journal of Power Sources, vol. 401, pp. 85 – 101, 2018. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0378775318309297
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Jon Ander López Ibarra, Mattin Lucu, Nerea Goitia-Zabaleta, Haizea Gaztañaga, Victor Isaac Herrera Perez, Haritza Camblong
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright
The authors of the manuscripts will retain their copyright on their articles published in Pespectivas Journal. These rights allow the authors to present their manuscripts in public, prepare derivative works, reproduce them physically by printing and distribute them on their social or research networks. These rights will remain unchanged as long as the authors respect the publication and free access policy of Perspectivas Journal.
Publication Rights
Perspectivas Journal reserves all first publication rights on each of the articles that the authors have sent to its review and publication process. It implies that authors will only exercise their copyright if they state the source and origin of the publication correctly, mainly when they distribute, share, present, or use their articles' total or partial content.
