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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728137032
DOIs	https://doi.org/10.1109/EVER.2019.8813567
Publication status	Published - May 2019
Externally published	Yes
Event	14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019 - Monte-Carlo, Monaco Duration: 8 May 2019 → 10 May 2019

Publication series

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

Conference

Conference	14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019
Country/Territory	Monaco
City	Monte-Carlo
Period	8/05/19 → 10/05/19

Keywords

Dynamic programming
Energy management
Energy storage systems
Fuzzy logic
Hybrid electric bus
State of health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EVER.2019.8813567

Cite this

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. In 2019 14th International Conference on Ecological Vehicles and Renewable Energies, EVER 2019 Article 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{eb2cf96895fb47c3bee2f67c9f707d3a,

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 = "English",

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",

address = "United States",

}

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. in 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, Monaco, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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M3 - Conference contribution

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

PB - Institute of Electrical and Electronics Engineers Inc.

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

Y2 - 8 May 2019 through 10 May 2019

ER -

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. In 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

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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