Fuel cell management system: An approach to increase its durability

堆栈(抽象数据类型) 瓶颈 燃料电池 耐久性 质子交换膜燃料电池 计算机科学 功率(物理) 电力系统 汽车工程
作者
Mohsen Bahrami,Jean-Philippe Martin,Gaël Maranzana,Serge Pierfederici,Mathieu Weber,Sophie Didierjean
出处
期刊:Applied Energy [Elsevier]
卷期号:306: 118070-118070
标识
DOI:10.1016/j.apenergy.2021.118070
摘要

• A fuel cell management system is proposed to deal with the instability of cells. • A mathematical model is utilized to detect the instability of cells inside a stack. • A fuzzy logic based strategy is used to change the operating condition of cells. • Two major instabilities of cells can be avoided by using the proposed system. • The proposed system is validated by experiments. The lifetime and cost are two bottlenecks in the widespread use of fuel cells. Increasing the lifetime of the fuel cell can also counteract the cost justification bottleneck. However, this depends on the method of extending the life of the fuel cell. The durability of Polymer Electrolyte Membrane Fuel Cells (PEMFCs) can be improved using a management system. This management system must control the operating condition of cells or cell groups in such a way that the electrochemical and fluidic instabilities can be avoided to improve the lifetime of a stack. Developing this Fuel Cell Management System (FCMS) is challenging due to the coupling between cells inside a stack. In this paper, an FCMS is proposed. It can detect the instability of cell groups and change their reference power based on the detected instabilities. Since a mathematical model has a high ability to describe the phenomena occurring in a fuel cell, this paper uses a model to describe its operating conditions. The reference power of the cell groups can be changed using a developed power electronics structure. The last piece of the FCMS puzzle is to develop a management strategy. This strategy is developed in this paper. Eventually, the proposed system is evaluated experimentally. The experimental results validate the effectiveness of the proposed system.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
西部森林完成签到,获得积分10
刚刚
zll发布了新的文献求助10
1秒前
perdgs发布了新的文献求助10
1秒前
Lemon发布了新的文献求助10
1秒前
张佳林完成签到,获得积分10
1秒前
科研通AI6.3应助yiyi采纳,获得10
2秒前
YuLu发布了新的文献求助10
2秒前
欣慰的寒蕾完成签到,获得积分20
2秒前
平常芷波发布了新的文献求助20
3秒前
简单勒完成签到,获得积分20
3秒前
3秒前
juju1234发布了新的文献求助10
3秒前
执行正义完成签到,获得积分10
4秒前
ab古发布了新的文献求助20
5秒前
刘震完成签到,获得积分10
5秒前
5秒前
5秒前
科研通AI2S应助黑鲨采纳,获得10
6秒前
情怀应助破茧采纳,获得10
6秒前
橘子完成签到,获得积分10
6秒前
tjxhtj完成签到,获得积分10
7秒前
李斯濛发布了新的文献求助10
7秒前
Lucas应助炸炸呦采纳,获得10
8秒前
8秒前
8秒前
Raye发布了新的文献求助10
8秒前
9秒前
一个橙发布了新的文献求助10
9秒前
Allen完成签到,获得积分10
9秒前
橘子发布了新的文献求助10
9秒前
10秒前
wbb发布了新的文献求助10
11秒前
嘉麓发布了新的文献求助10
11秒前
12秒前
13秒前
more发布了新的文献求助10
14秒前
yuer发布了新的文献求助10
15秒前
Ccsp发布了新的文献求助10
16秒前
虚幻又菡发布了新的文献求助10
17秒前
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6041321
求助须知:如何正确求助?哪些是违规求助? 7780744
关于积分的说明 16233982
捐赠科研通 5187337
什么是DOI,文献DOI怎么找? 2775755
邀请新用户注册赠送积分活动 1758873
关于科研通互助平台的介绍 1642368