AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (3.3 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese

Study on power distribution strategy of multi-stack fuel cell system based on particle swarm optimization threshold

Ji LUOWeibo LI( )Zhongtian ZHANGHongming HUWenbin SU
School of Automation, Wuhan University of Technology, Wuhan 430070, China
Show Author Information

Abstract

Objectives

To improve the stability and efficiency of hybrid propulsion systems for ships, a power distribution strategy based on the particle swarm optimization (PSO) threshold for multi-stack fuel cell systems is proposed.

Methods

For the hybrid power source system composed of multiple fuel cell stacks and batteries, a fuzzy logic energy management strategy based on the PSO algorithm was designed. By flexibly adjusting the number of fuel cell stacks and their individual output power based on the propulsion system load power and the battery state of charge (SOC), the control threshold of the system was optimized using PSO.

Results

Matlab/Simulink simulation results show that this energy management strategy can quickly meet complex and changing load power requirements, and improve the system efficiency of the hybrid power source. Compared with traditional energy management strategies, the hydrogen consumption of the fuzzy logic-based and PSO threshold-based energy management strategies decreased by 18.96% and 31.48%, respectively.

Conclusions

This intelligent energy management strategy is applicable to multi-stack fuel cell systems in hybrid propulsion ships, and can effectively improve the system efficiency of hybrid power sources and reduce hydrogen consumption.

CLC number: U665.14 Document code: A

References

【1】
【1】
 
 
Chinese Journal of Ship Research
Pages 224-233

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
LUO J, LI W, ZHANG Z, et al. Study on power distribution strategy of multi-stack fuel cell system based on particle swarm optimization threshold. Chinese Journal of Ship Research, 2023, 18(5): 224-233. https://doi.org/10.19693/j.issn.1673-3185.03049

631

Views

10

Downloads

0

Crossref

5

Scopus

2

CSCD

Received: 20 August 2022
Revised: 05 September 2022
Published: 02 August 2023
© 2023 Chinese Journal of Ship Research.