Battery aging conscious intelligent energy management strategy for hybrid electric buses

Jon Ander Lopez-Ibarra; Mattin Lucu; Nerea Goitia-Zabaleta; Haizea Gaztanaga; Victor Isaac Herrera; Haritza Camblong

doi:10.1109/EVER.2019.8813567

Battery aging conscious intelligent energy management strategy for hybrid electric buses

Jon Ander Lopez-Ibarra, Mattin Lucu, Nerea Goitia-Zabaleta, Haizea Gaztanaga, Victor Isaac Herrera, Haritza Camblong

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

The aim of this paper is to propose a battery aging conscious energy management strategy. The initial design of an energy management strategy is a significant point, in order to fulfill the efficiency goals in a short term. However, with the aging, the initial conditions vary. The new trend of digitalization allows to monitor the operation, having the possibility to update the developed first strategy in a long term. Therefore a methodology for updating the energy management strategy throughout the bus lifetime is proposed, in order to improve the operation costs and extend the battery lifetime. This update is based on a dynamic programming optimization, tuning the fuzzy logic membership functions and output. Operation costs improvements up to 47 % are obtained beside a rule-based strategy and a BT lifetime extension of 2.94 % is reached.

Idioma original	Inglés
Título de la publicación alojada	2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781728137032
DOI	https://doi.org/10.1109/EVER.2019.8813567
Estado	Publicada - may. 2019
Publicado de forma externa	Sí
Evento	14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019 - Monte-Carlo, Mónaco Duración: 8 may. 2019 → 10 may. 2019

Serie de la publicación

Nombre	2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019

Conferencia

Conferencia	14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
País/Territorio	Mónaco
Ciudad	Monte-Carlo
Período	8/05/19 → 10/05/19

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/EVER.2019.8813567

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Lopez-Ibarra, J. A., Lucu, M., Goitia-Zabaleta, N., Gaztanaga, H., Herrera, V. I., & Camblong, H. (2019). Battery aging conscious intelligent energy management strategy for hybrid electric buses. En 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019 Artículo 8813567 (2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EVER.2019.8813567

Lopez-Ibarra, Jon Ander ; Lucu, Mattin ; Goitia-Zabaleta, Nerea et al. / Battery aging conscious intelligent energy management strategy for hybrid electric buses. 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019).

@inproceedings{bf3af19169a94943a43492f32f9eb955,

title = "Battery aging conscious intelligent energy management strategy for hybrid electric buses",

abstract = "The aim of this paper is to propose a battery aging conscious energy management strategy. The initial design of an energy management strategy is a significant point, in order to fulfill the efficiency goals in a short term. However, with the aging, the initial conditions vary. The new trend of digitalization allows to monitor the operation, having the possibility to update the developed first strategy in a long term. Therefore a methodology for updating the energy management strategy throughout the bus lifetime is proposed, in order to improve the operation costs and extend the battery lifetime. This update is based on a dynamic programming optimization, tuning the fuzzy logic membership functions and output. Operation costs improvements up to 47 % are obtained beside a rule-based strategy and a BT lifetime extension of 2.94 % is reached.",

keywords = "Dynamic programming, Energy management, Energy storage systems, Fuzzy logic, Hybrid electric bus, State of health",

author = "Lopez-Ibarra, {Jon Ander} and Mattin Lucu and Nerea Goitia-Zabaleta and Haizea Gaztanaga and Herrera, {Victor Isaac} and Haritza Camblong",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019 ; Conference date: 08-05-2019 Through 10-05-2019",

year = "2019",

month = may,

doi = "10.1109/EVER.2019.8813567",

language = "Ingl{\'e}s",

series = "2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019",

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Lopez-Ibarra, JA, Lucu, M, Goitia-Zabaleta, N, Gaztanaga, H, Herrera, VI & Camblong, H 2019, Battery aging conscious intelligent energy management strategy for hybrid electric buses. En 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019., 8813567, 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019, Institute of Electrical and Electronics Engineers Inc., 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019, Monte-Carlo, Mónaco, 8/05/19. https://doi.org/10.1109/EVER.2019.8813567

Battery aging conscious intelligent energy management strategy for hybrid electric buses. / Lopez-Ibarra, Jon Ander; Lucu, Mattin; Goitia-Zabaleta, Nerea et al.
2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8813567 (2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Battery aging conscious intelligent energy management strategy for hybrid electric buses

AU - Lopez-Ibarra, Jon Ander

AU - Lucu, Mattin

AU - Goitia-Zabaleta, Nerea

AU - Gaztanaga, Haizea

AU - Herrera, Victor Isaac

AU - Camblong, Haritza

PY - 2019/5

Y1 - 2019/5

N2 - The aim of this paper is to propose a battery aging conscious energy management strategy. The initial design of an energy management strategy is a significant point, in order to fulfill the efficiency goals in a short term. However, with the aging, the initial conditions vary. The new trend of digitalization allows to monitor the operation, having the possibility to update the developed first strategy in a long term. Therefore a methodology for updating the energy management strategy throughout the bus lifetime is proposed, in order to improve the operation costs and extend the battery lifetime. This update is based on a dynamic programming optimization, tuning the fuzzy logic membership functions and output. Operation costs improvements up to 47 % are obtained beside a rule-based strategy and a BT lifetime extension of 2.94 % is reached.

AB - The aim of this paper is to propose a battery aging conscious energy management strategy. The initial design of an energy management strategy is a significant point, in order to fulfill the efficiency goals in a short term. However, with the aging, the initial conditions vary. The new trend of digitalization allows to monitor the operation, having the possibility to update the developed first strategy in a long term. Therefore a methodology for updating the energy management strategy throughout the bus lifetime is proposed, in order to improve the operation costs and extend the battery lifetime. This update is based on a dynamic programming optimization, tuning the fuzzy logic membership functions and output. Operation costs improvements up to 47 % are obtained beside a rule-based strategy and a BT lifetime extension of 2.94 % is reached.

KW - Dynamic programming

KW - Energy management

KW - Energy storage systems

KW - Fuzzy logic

KW - Hybrid electric bus

KW - State of health

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T2 - 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019

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Lopez-Ibarra JA, Lucu M, Goitia-Zabaleta N, Gaztanaga H, Herrera VI, Camblong H. Battery aging conscious intelligent energy management strategy for hybrid electric buses. En 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8813567. (2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019). doi: 10.1109/EVER.2019.8813567

Battery aging conscious intelligent energy management strategy for hybrid electric buses

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