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

Jibrin, Rabee, Hillmansen, Stuart, Roberts, Clive, Zhao, Ning and Tian, Zhongbei ORCID: 0000-0001-7295-3327
(2021) Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains. In: 2021 IEEE Vehicle Power and Propulsion Conference (VPPC), 2021-10-25 - 2021-10-28.

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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.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Rail transportation, low-carbon economy, fuel cell vehicles, optimization, energy management system
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 13 Sep 2022 13:43
Last Modified: 18 Jan 2023 20:45
DOI: 10.1109/VPPC53923.2021.9699165
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