Energy Management Strategy Considering Fuel Economy and Life of Fuel Cell for Fuel Cell Electric Vehicles
Publication: Journal of Energy Engineering
Volume 149, Issue 1
Abstract
The optimization of energy management strategy (EMS) for fuel cell electric vehicles (FCEV) is mainly applied to reduce fuel consumption. However, serious power fluctuations affect the durability of the fuel cell, which is still a challenge for the FCEV. In order to optimize the fuel cell’s service life and economy, this paper proposes an EMS scheme based on fuzzy control. In the proposed EMS, the first layer uses the power following strategy to address the output power distribution issue between the battery and the fuel cell. In order to limit the rapid shift in fuel cell power, the second layer employs a fuzzy control method. Considering the variety of constraints, such as fuel cell power fluctuation and hydrogen consumption, the particle swarm optimization algorithm is used to optimize the membership function of the fuzzy controller. The performance and the operating characteristics of the fuel cells are then evaluated using a test bench. Afterward, the proposed EMS is verified by AMEsim joint simulation. The optimized strategy increased the driving range by 4.7% and 5.9% in world light vehicle test cycle (WLTC) and new European driving cycle (NEDC) conditions, respectively. It also reduces the fuel cell degradation by 21.4% and 19.8%.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request (Figs. 2–16).
Acknowledgments
This research was supported by the Science and Technology Project of Jiangsu Province (Grant No. BE2019006-3), Jiangsu provincial colleges of Natural Science General Program (21KJB460028), Chinese Fund of Key Laboratory of Tractor Power System (SKT2021001), and the Senior Talent Fund through the Jiangsu University (20JDG069).
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Information & Authors
Information
Published In
Journal of Energy Engineering
Volume 149 • Issue 1 • February 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Mar 8, 2022
Accepted: Aug 10, 2022
Published online: Nov 22, 2022
Published in print: Feb 1, 2023
Discussion open until: Apr 22, 2023
ASCE Technical Topics:
- Algorithms
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Electric power
- Energy consumption
- Energy engineering
- Energy sources (by type)
- Engineering fundamentals
- Engineering materials (by type)
- Fuzzy logic
- Highway transportation
- Infrastructure
- Materials engineering
- Mathematics
- Particles
- Power transmission
- Renewable energy
- Transportation engineering
- Vehicles
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