Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains

Rabee Jibrin; Stuart Hillmansen; Clive Roberts; Ning Zhao; Zhongbei Tian

doi:10.1109/VPPC53923.2021.9699165

Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains

Electronic, Electrical and Systems Engineering

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

Abstract

We look into minimizing the hydrogen fuel consumption of hydrogen hybrid trains by optimizing their operation. The powertrain considered is a fuel cell charge-sustaining hybrid. Convex optimization is utilized to compute optimal speed and energy management trajectories. The barrier method is used to solve the optimization problems quickly on the order of tens of seconds for the entire journey. Simulations show a considerable reduction in fuel consumption when both trajectories - speed and energy management - are optimized concurrently within a single optimization problem in comparison to being optimized separately in a sequential manner - optimizing energy management after optimizing speed. It is concluded that the concurrent method greatly benefits from its holistic powertrain knowledge while optimizing all trajectories together within a single optimization problem.

Original language	English
Title of host publication	2021 IEEE Vehicle Power and Propulsion Conference (VPPC)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	9781665405287
ISBN (Print)	9781665405294 (PoD)
DOIs	https://doi.org/10.1109/VPPC53923.2021.9699165
Publication status	Published - 10 Feb 2022
Event	18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021 - Virtual, Gijon, Spain Duration: 25 Oct 2021 → 28 Oct 2021

Publication series

Name	IEEE Vehicle Power and Propulsion Conference, VPPC
Publisher	IEEE
ISSN (Print)	1938-8756
ISSN (Electronic)	2769-4186

Conference

Conference	18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021
Country/Territory	Spain
City	Virtual, Gijon
Period	25/10/21 → 28/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

UN SDGs

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

SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

Keywords

Energy management system
Fuel cell vehicles
Low-carbon economy
Optimization
Rail transportation

ASJC Scopus subject areas

Modelling and Simulation
Transportation
Artificial Intelligence
Energy Engineering and Power Technology
Fuel Technology
Automotive Engineering
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/VPPC53923.2021.9699165

Cite this

Jibrin, R., Hillmansen, S., Roberts, C., Zhao, N., & Tian, Z. (2022). Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains. In 2021 IEEE Vehicle Power and Propulsion Conference (VPPC) Article 9699165 (IEEE Vehicle Power and Propulsion Conference, VPPC). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/VPPC53923.2021.9699165

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title = "Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains",

abstract = "We look into minimizing the hydrogen fuel consumption of hydrogen hybrid trains by optimizing their operation. The powertrain considered is a fuel cell charge-sustaining hybrid. Convex optimization is utilized to compute optimal speed and energy management trajectories. The barrier method is used to solve the optimization problems quickly on the order of tens of seconds for the entire journey. Simulations show a considerable reduction in fuel consumption when both trajectories - speed and energy management - are optimized concurrently within a single optimization problem in comparison to being optimized separately in a sequential manner - optimizing energy management after optimizing speed. It is concluded that the concurrent method greatly benefits from its holistic powertrain knowledge while optimizing all trajectories together within a single optimization problem.",

keywords = "Energy management system, Fuel cell vehicles, Low-carbon economy, Optimization, Rail transportation",

author = "Rabee Jibrin and Stuart Hillmansen and Clive Roberts and Ning Zhao and Zhongbei Tian",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021 ; Conference date: 25-10-2021 Through 28-10-2021",

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Jibrin, R , Hillmansen, S, Roberts, C, Zhao, N & Tian, Z 2022, Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains. in 2021 IEEE Vehicle Power and Propulsion Conference (VPPC)., 9699165, IEEE Vehicle Power and Propulsion Conference, VPPC, Institute of Electrical and Electronics Engineers (IEEE), 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021, Virtual, Gijon, Spain, 25/10/21. https://doi.org/10.1109/VPPC53923.2021.9699165

Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains. / Jibrin, Rabee ; Hillmansen, Stuart; Roberts, Clive et al.
2021 IEEE Vehicle Power and Propulsion Conference (VPPC). Institute of Electrical and Electronics Engineers (IEEE), 2022. 9699165 (IEEE Vehicle Power and Propulsion Conference, VPPC).

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

TY - GEN

T1 - Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains

AU - Jibrin, Rabee

AU - Hillmansen, Stuart

AU - Roberts, Clive

AU - Zhao, Ning

AU - Tian, Zhongbei

PY - 2022/2/10

Y1 - 2022/2/10

N2 - We look into minimizing the hydrogen fuel consumption of hydrogen hybrid trains by optimizing their operation. The powertrain considered is a fuel cell charge-sustaining hybrid. Convex optimization is utilized to compute optimal speed and energy management trajectories. The barrier method is used to solve the optimization problems quickly on the order of tens of seconds for the entire journey. Simulations show a considerable reduction in fuel consumption when both trajectories - speed and energy management - are optimized concurrently within a single optimization problem in comparison to being optimized separately in a sequential manner - optimizing energy management after optimizing speed. It is concluded that the concurrent method greatly benefits from its holistic powertrain knowledge while optimizing all trajectories together within a single optimization problem.

AB - We look into minimizing the hydrogen fuel consumption of hydrogen hybrid trains by optimizing their operation. The powertrain considered is a fuel cell charge-sustaining hybrid. Convex optimization is utilized to compute optimal speed and energy management trajectories. The barrier method is used to solve the optimization problems quickly on the order of tens of seconds for the entire journey. Simulations show a considerable reduction in fuel consumption when both trajectories - speed and energy management - are optimized concurrently within a single optimization problem in comparison to being optimized separately in a sequential manner - optimizing energy management after optimizing speed. It is concluded that the concurrent method greatly benefits from its holistic powertrain knowledge while optimizing all trajectories together within a single optimization problem.

KW - Energy management system

KW - Fuel cell vehicles

KW - Low-carbon economy

KW - Optimization

KW - Rail transportation

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DO - 10.1109/VPPC53923.2021.9699165

M3 - Conference contribution

AN - SCOPUS:85118650408

SN - 9781665405294 (PoD)

T3 - IEEE Vehicle Power and Propulsion Conference, VPPC

BT - 2021 IEEE Vehicle Power and Propulsion Conference (VPPC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 18th IEEE Vehicle Power and Propulsion Conference, VPPC 2021

Y2 - 25 October 2021 through 28 October 2021

ER -

Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this