Adaptive energy management strategy for a hybrid shunter locomotive

Jon Ander Lopez-Ibarra; Nerea Goitia-Zabaleta; Haritza Camblong; Aitor Milo; Haizea Gaztanaga

doi:10.1109/VPPC46532.2019.8952472

Adaptive energy management strategy for a hybrid shunter locomotive

Jon Ander Lopez-Ibarra
, Nerea Goitia-Zabaleta
, Haritza Camblong
, Aitor Milo
, Haizea Gaztanaga

IKERLAN

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

1 Citation (Scopus)

Abstract

The aim of this paper is to propose an adaptive energy management strategy for a series hybrid shunter locomotive so as to reduce the vehicle operation costs. This application operation is on- demand, therefore, fuzzy logic has been employed as it has the ability to adapt and cope with the unpredictable driving profile. The results show up to 39.02 % of fuel consumption reduction by hybridising the locomotive. Moreover, up to 44.62 % and up to 55.34 %, respectively, of daily and lifecycle operational costs improvement is achieved.

Original language	English
Title of host publication	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728112497
DOIs	https://doi.org/10.1109/VPPC46532.2019.8952472
Publication status	Published - Oct 2019
Externally published	Yes
Event	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Hanoi, Viet Nam Duration: 14 Oct 2019 → 17 Oct 2019

Publication series

Name	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

Conference

Conference	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
Country/Territory	Viet Nam
City	Hanoi
Period	14/10/19 → 17/10/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy management
Energy storage systems
Fuzzy logic
Hybrid shunter
Locomotive

Access to Document

10.1109/VPPC46532.2019.8952472

Cite this

Lopez-Ibarra, J. A., Goitia-Zabaleta, N., Camblong, H., Milo, A., & Gaztanaga, H. (2019). Adaptive energy management strategy for a hybrid shunter locomotive. In 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings Article 8952472 (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VPPC46532.2019.8952472

@inproceedings{3200217c0c5d4b3c8daf7bea154a4c07,

title = "Adaptive energy management strategy for a hybrid shunter locomotive",

abstract = "The aim of this paper is to propose an adaptive energy management strategy for a series hybrid shunter locomotive so as to reduce the vehicle operation costs. This application operation is on- demand, therefore, fuzzy logic has been employed as it has the ability to adapt and cope with the unpredictable driving profile. The results show up to 39.02 \% of fuel consumption reduction by hybridising the locomotive. Moreover, up to 44.62 \% and up to 55.34 \%, respectively, of daily and lifecycle operational costs improvement is achieved.",

keywords = "Energy management, Energy storage systems, Fuzzy logic, Hybrid shunter, Locomotive",

author = "Lopez-Ibarra, \{Jon Ander\} and Nerea Goitia-Zabaleta and Haritza Camblong and Aitor Milo and Haizea Gaztanaga",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 ; Conference date: 14-10-2019 Through 17-10-2019",

year = "2019",

month = oct,

doi = "10.1109/VPPC46532.2019.8952472",

language = "English",

series = "2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings",

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

booktitle = "2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings",

address = "United States",

}

Lopez-Ibarra, JA, Goitia-Zabaleta, N, Camblong, H, Milo, A & Gaztanaga, H 2019, Adaptive energy management strategy for a hybrid shunter locomotive. in 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings., 8952472, 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019, Hanoi, Viet Nam, 14/10/19. https://doi.org/10.1109/VPPC46532.2019.8952472

Adaptive energy management strategy for a hybrid shunter locomotive. / Lopez-Ibarra, Jon Ander; Goitia-Zabaleta, Nerea; Camblong, Haritza et al.
2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8952472 (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings).

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

TY - GEN

T1 - Adaptive energy management strategy for a hybrid shunter locomotive

AU - Lopez-Ibarra, Jon Ander

AU - Goitia-Zabaleta, Nerea

AU - Camblong, Haritza

AU - Milo, Aitor

AU - Gaztanaga, Haizea

PY - 2019/10

Y1 - 2019/10

N2 - The aim of this paper is to propose an adaptive energy management strategy for a series hybrid shunter locomotive so as to reduce the vehicle operation costs. This application operation is on- demand, therefore, fuzzy logic has been employed as it has the ability to adapt and cope with the unpredictable driving profile. The results show up to 39.02 % of fuel consumption reduction by hybridising the locomotive. Moreover, up to 44.62 % and up to 55.34 %, respectively, of daily and lifecycle operational costs improvement is achieved.

AB - The aim of this paper is to propose an adaptive energy management strategy for a series hybrid shunter locomotive so as to reduce the vehicle operation costs. This application operation is on- demand, therefore, fuzzy logic has been employed as it has the ability to adapt and cope with the unpredictable driving profile. The results show up to 39.02 % of fuel consumption reduction by hybridising the locomotive. Moreover, up to 44.62 % and up to 55.34 %, respectively, of daily and lifecycle operational costs improvement is achieved.

KW - Energy management

KW - Energy storage systems

KW - Fuzzy logic

KW - Hybrid shunter

KW - Locomotive

UR - https://www.scopus.com/pages/publications/85078799492

U2 - 10.1109/VPPC46532.2019.8952472

DO - 10.1109/VPPC46532.2019.8952472

M3 - Conference contribution

AN - SCOPUS:85078799492

T3 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

BT - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019

Y2 - 14 October 2019 through 17 October 2019

ER -

Lopez-Ibarra JA, Goitia-Zabaleta N, Camblong H, Milo A, Gaztanaga H. Adaptive energy management strategy for a hybrid shunter locomotive. In 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8952472. (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings). doi: 10.1109/VPPC46532.2019.8952472

Adaptive energy management strategy for a hybrid shunter locomotive

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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