Fuzzy based predictive control for optimal energy management in hybrid urban buses

Brishith Falcon-Mendoza; Victor Herrera-Perez; Jon Ander Lopez-Ibarra; Haizea Gaztanaga; Haritza Camblong-Ruiz

doi:10.1109/VPPC49601.2020.9330967

Fuzzy based predictive control for optimal energy management in hybrid urban buses

Brishith Falcon-Mendoza
, Victor Herrera-Perez
, Jon Ander Lopez-Ibarra
, Haizea Gaztanaga
, Haritza Camblong-Ruiz

Escuela Superior Politécnica de Chimborazo
IKERLAN
University of the Basque Country (UPV/EHU)

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

Resumen

In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.

Idioma original	Inglés
Título de la publicación alojada	2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781728189598
DOI	https://doi.org/10.1109/VPPC49601.2020.9330967
Estado	Publicada - nov. 2020
Publicado de forma externa	Sí
Evento	17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Virtual, Gijon, Espana Duración: 18 nov. 2020 → 16 dic. 2020

Serie de la publicación

Nombre	2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings

Conferencia

Conferencia	17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020
País/Territorio	Espana
Ciudad	Virtual, Gijon
Período	18/11/20 → 16/12/20

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10.1109/VPPC49601.2020.9330967

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Falcon-Mendoza, B., Herrera-Perez, V., Lopez-Ibarra, J. A., Gaztanaga, H., & Camblong-Ruiz, H. (2020). Fuzzy based predictive control for optimal energy management in hybrid urban buses. En 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings Artículo 9330967 (2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VPPC49601.2020.9330967

Falcon-Mendoza, Brishith ; Herrera-Perez, Victor ; Lopez-Ibarra, Jon Ander et al. / Fuzzy based predictive control for optimal energy management in hybrid urban buses. 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings).

@inproceedings{7495070362334f0a911d5db8f4e6034e,

title = "Fuzzy based predictive control for optimal energy management in hybrid urban buses",

abstract = "In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5\% of the total cost was compared to a traditional rule-based control.",

keywords = "Fuzzy control, Genset operation point search, Hybrid electric bus, Multi-objective optimization, Predictive control",

author = "Brishith Falcon-Mendoza and Victor Herrera-Perez and Lopez-Ibarra, \{Jon Ander\} and Haizea Gaztanaga and Haritza Camblong-Ruiz",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020 ; Conference date: 18-11-2020 Through 16-12-2020",

year = "2020",

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doi = "10.1109/VPPC49601.2020.9330967",

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

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Falcon-Mendoza, B, Herrera-Perez, V, Lopez-Ibarra, JA, Gaztanaga, H & Camblong-Ruiz, H 2020, Fuzzy based predictive control for optimal energy management in hybrid urban buses. En 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings., 9330967, 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020, Virtual, Gijon, Espana, 18/11/20. https://doi.org/10.1109/VPPC49601.2020.9330967

Fuzzy based predictive control for optimal energy management in hybrid urban buses. / Falcon-Mendoza, Brishith; Herrera-Perez, Victor; Lopez-Ibarra, Jon Ander et al.
2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9330967 (2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings).

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

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AU - Falcon-Mendoza, Brishith

AU - Herrera-Perez, Victor

AU - Lopez-Ibarra, Jon Ander

AU - Gaztanaga, Haizea

AU - Camblong-Ruiz, Haritza

PY - 2020/11

Y1 - 2020/11

N2 - In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.

AB - In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.

KW - Fuzzy control

KW - Genset operation point search

KW - Hybrid electric bus

KW - Multi-objective optimization

KW - Predictive control

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Falcon-Mendoza B, Herrera-Perez V, Lopez-Ibarra JA, Gaztanaga H, Camblong-Ruiz H. Fuzzy based predictive control for optimal energy management in hybrid urban buses. En 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9330967. (2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings). doi: 10.1109/VPPC49601.2020.9330967

Fuzzy based predictive control for optimal energy management in hybrid urban buses

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