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

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

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.

Original language	English
Title of host publication	2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728189598
DOIs	https://doi.org/10.1109/VPPC49601.2020.9330967
State	Published - Nov 2020
Externally published	Yes
Event	17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Virtual, Gijon, Spain Duration: 18 Nov 2020 → 16 Dec 2020

Publication series

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

Conference

Conference	17th IEEE Vehicle Power and Propulsion Conference, VPPC 2020
Country/Territory	Spain
City	Virtual, Gijon
Period	18/11/20 → 16/12/20

Keywords

Fuzzy control
Genset operation point search
Hybrid electric bus
Multi-objective optimization
Predictive control

Access to Document

10.1109/VPPC49601.2020.9330967

Cite this

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. In 2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings Article 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).

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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",

month = nov,

doi = "10.1109/VPPC49601.2020.9330967",

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

series = "2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings",

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

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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. in 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, Spain, 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).

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

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T1 - Fuzzy based predictive control for optimal energy management in hybrid urban buses

AU - Falcon-Mendoza, Brishith

AU - Herrera-Perez, Victor

AU - Lopez-Ibarra, Jon Ander

AU - Gaztanaga, Haizea

AU - Camblong-Ruiz, Haritza

PY - 2020/11

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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. In 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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