Published

2019-05-01

Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging

Estrategia óptima de vehículo-a-red para vehículos eléctricos considerando el envejecimiento de sus baterías

DOI:

https://doi.org/10.15446/ing.investig.v39n2.78639

Keywords:

Batteries Aging, Electric Vehicles, Nonlinear Optimization, Renewable sources, Vehicle-to-Grid. (en)
Envejecimiento de Baterías, Fuentes Renovables, Optimización no Lineal, Vehículo a Red, Vehículos Eléctricos (es)

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Authors

  • Jairo José Espinosa Universidad Nacional de Colombia - Sede Medellín https://orcid.org/0000-0002-0969-741X
  • Semaria Ruiz Universidad Nacional de Colombia

The use of electric vehicles for public transportation is a practice that has spread widely in recent years, in response to the needs ofreducing global polluting gases emissions and decrease vehicle ownership. However, nowadays some issues need to be addressedto provide this type of services with electric vehicles, such as the low-profit margins that can be achieved by the fleet operators.This paper addresses this issue giving to the public EVs the feature of providing power to the electrical network. Hence, a controlsystem based on optimization is proposed to perform profitable management of the charge and discharge of the EVs that are usedto provide public transport services by an operator, which also have the possibility of delivering power to the electrical network.Furthermore, this control system will also take into account the batteries wear cost.

El uso de vehículos eléctricos para transporte público es una práctica que se ha extendido ampliamente en los últimos años, enrespuesta a las necesidades de reducir las emisiones globales de gases contaminantes y disminuir los vehículos de uso privado. Sinembargo, hoy en día es necesario superar algunos retos para proporcionar este tipo de servicios con vehículos eléctricos, como losmárgenes de baja ganancia que pueden tener los operadores de la flota. Este documento aborda este desafío, dando al EV públicola función de proporcionar energía a la red eléctrica. Por lo tanto, se propone un sistema de control basado en la optimizaciónpara realizar una gestión económicamente rentable de la carga y descarga de los EV que se utilizan para proporcionar servicios detransporte público por parte de un operador, los cuales también tienen la posibilidad de entregar energía a la red eléctrica. Además,este sistema de control también tendrá en cuenta el costo de desgaste de las baterías.

References

Alkhafaji, M., Luk, P., and Economou, J. (2017). Optimal Design and Planning of Electric Vehicles Within Microgrid. In: Li K., Xue Y., Cui S., Niu Q., Yang Z., Luk P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. Singapore: Springer. DOI: 10.1007/9789811063640_68

Blumenthal, B. A. (1935). A new definition of the rainflow cycle counting method, International Journal of Fatigue, 2(2), 571-586

Bocca, A., Chen, Y., Macii, A., Macii, E., and Poncino, M. (2018). Aging and cost optimal residential charging for plugin EVs. IEEE Design and Test, 35(6), 16-24. DOI: 10.1109/MDAT.2017.2753701

Choi, Y., and Kim, H. (2016). Optimal scheduling of energy storage system for selfsustainable base station operation considering battery wear-out cost. Paper presented at the International Conference on Ubiquitous and Future Networks, ICUFN. Vienna, IEEE. DOI: 10.1109/ICUFN.2016.7537010

CorreaFlorez, C. A., Gerossier, A., Michiorri, A., and Kariniotakis, G. (2018). Stochastic operation of home energy management systems including battery cycling. Applied Energy, 225 1205-1218. DOI: 10.1016/j.apenergy.2018.04.130

Firnkorn, J., and Müller, M. (2015). Freefloating electric carsharing-fleets in smart cities: The dawning of a post-private car era in urban environments? Environmental Science and Policy, 45, 30-40. DOI: 10.1016/j.envsci.2014.09.005

Han, S., Han, S., and Aki, H. (2014). A practical battery wear model for electric vehicle charging applications. Applied Energy, 113, 1100-1108. DOI: 10.1016/j.apenergy.2013.08.062

Kang, J., Duncan, S. J., and Mavris, D. N. (2013). Realtime scheduling techniques for electric vehicle charging in support of frequency regulation. Procedia Computer Science, 16, 767-775. DOI: 10.1016/j.procs.2013.01.080

Rabiee, A., Sadeghi, M., Aghaeic, J., and Heidari, A. (2016). Optimal operation of microgrids through simultaneous scheduling of electrical vehicles and responsive loads considering wind and PV units uncertainties. Renewable and Sustainable Energy Reviews, 57, 721-739. DOI: 10.1016/j.rser.2015.12.041

Ruiz, S., Arroyo, N., Acosta, A., Portilla, C., and Espinosa, J. (2018). An Optimal Battery Charging And Schedule Control Strategy For Electric Bus Rapid Transit. Paper presented at the MOVICI-MOYCOT 2018: Joint Conference for Urban Mobility in the Smart City J. Medellin, German Aerospace Center (DLR) and Universidad Nacional de Colombia, Sede Medellín. DOI: 10.1049/ic.2018.0004

Seign, R., Schüssler, M., and Bogenberger, K. (2015). Enabling sustainable transportation: The model-based determination of business/operating areas of free-floating carsharing systems. Research in Transportation Economics, 51, 104-114. DOI: 10.1016/j.retrec.2015.10.012

Semanjski, I., and Gautama, S. (2016). Forecasting the state of health of electric vehicle batteries to evaluate the viability of car sharing practices. Energies, 9(12). DOI: 10.3390/en9121025

Wu, T., Yang, Q., Bao, Z., and Yan, W. (2013). Coordinated energy dispatching in microgrid with wind power generation and plugin electric vehicles. IEEE Transactions on Smart Grid, 4(3), 1453-1463. DOI: 10.1109/TSG.2013.2268870

Xu, B., Shi, Y., Kirschen, D. S., and Zhang, B. (2018). Optimal regulation response of batteries under cycle aging mechanisms. Paper presented at the 2017 IEEE 56th Annual Conference on Decision and Control, CDC. Melbourne, IEEE. DOI: 10.1109/CDC.2017.8263750

How to Cite

APA

Espinosa, J. J. & Ruiz, S. (2019). Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging. Ingeniería e Investigación, 39(2), 69–75. https://doi.org/10.15446/ing.investig.v39n2.78639

ACM

[1]
Espinosa, J.J. and Ruiz, S. 2019. Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging. Ingeniería e Investigación. 39, 2 (May 2019), 69–75. DOI:https://doi.org/10.15446/ing.investig.v39n2.78639.

ACS

(1)
Espinosa, J. J.; Ruiz, S. Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging. Ing. Inv. 2019, 39, 69-75.

ABNT

ESPINOSA, J. J.; RUIZ, S. Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging. Ingeniería e Investigación, [S. l.], v. 39, n. 2, p. 69–75, 2019. DOI: 10.15446/ing.investig.v39n2.78639. Disponível em: https://revistas.unal.edu.co/index.php/ingeinv/article/view/78639. Acesso em: 7 mar. 2026.

Chicago

Espinosa, Jairo José, and Semaria Ruiz. 2019. “Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging”. Ingeniería E Investigación 39 (2):69-75. https://doi.org/10.15446/ing.investig.v39n2.78639.

Harvard

Espinosa, J. J. and Ruiz, S. (2019) “Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging”, Ingeniería e Investigación, 39(2), pp. 69–75. doi: 10.15446/ing.investig.v39n2.78639.

IEEE

[1]
J. J. Espinosa and S. Ruiz, “Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging”, Ing. Inv., vol. 39, no. 2, pp. 69–75, May 2019.

MLA

Espinosa, J. J., and S. Ruiz. “Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging”. Ingeniería e Investigación, vol. 39, no. 2, May 2019, pp. 69-75, doi:10.15446/ing.investig.v39n2.78639.

Turabian

Espinosa, Jairo José, and Semaria Ruiz. “Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging”. Ingeniería e Investigación 39, no. 2 (May 1, 2019): 69–75. Accessed March 7, 2026. https://revistas.unal.edu.co/index.php/ingeinv/article/view/78639.

Vancouver

1.
Espinosa JJ, Ruiz S. Optimal vehicle-to-grid strategy for a fleet of EVs considering the batteries aging. Ing. Inv. [Internet]. 2019 May 1 [cited 2026 Mar. 7];39(2):69-75. Available from: https://revistas.unal.edu.co/index.php/ingeinv/article/view/78639

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