A PARAMETER IDENTIFICATION APPROACH OF A PEM FUEL CELL STACK USING PARTICLE SWARM OPTIMIZATION

机译：基于粒子群算法的PEM燃料电池堆参数辨识方法

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The fear of fossil fuels depletion as well as the constantly increasing pollution rates motivated most of today's engineers and researchers towards focusing on renewable energies and their applications. Fuel Cells are one of the green technologies that are being explored extensively around the world. The work of this paper was done on the 3kW ElectraGen™ fuel cell system under study for domestic use in the United Arab Emirates (UAE). Several experiments were conducted at different operating points and relatively high ambient temperatures. The experimental Ⅰ/Ⅴ characteristics of the system are matched by identifying 13 different modeling parameters using basic fitting. The obtained model is then further optimized using Particle Swarm Optimization (PSO). The resulting model is validated experimentally and was found to highly resemble the system's Ⅰ/Ⅴ characteristics yielding less than 1.5 Y H_∞ norm of the error.

机译：对化石燃料枯竭的担忧以及污染率的不断提高促使当今大多数工程师和研究人员将重点放在可再生能源及其应用上。燃料电池是世界范围内正在广泛探索的绿色技术之一。本文的工作是针对阿拉伯联合酋长国（UAE）国内使用的3kW ElectraGen™燃料电池系统进行的。在不同的工作点和相对较高的环境温度下进行了几次实验。通过使用基本拟合确定13个不同的建模参数来匹配系统的实验Ⅰ/Ⅴ特性。然后使用粒子群优化（PSO）对获得的模型进行进一步优化。通过实验验证了所得模型，发现该模型与系统的Ⅰ/Ⅴ特性高度相似，产生的误差小于1.5 YH_∞范数。

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来源
《11th fuel cell science, engineering, and technology conference 2013》|2013年|V001T03A011.1-V001T03A011.8|共8页
会议地点 Minneapolis MN(US)
作者
Reem I. Salim; Hassan Noura; Abbas Fardoun;
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Electrical Engineering Dept. UAEU, P.O. Box: 15551 Al Ain, United Arab Emirates;

Electrical Engineering Dept. UAEU, P.O.Box: 15551 Al Ain, United Arab Emirates;

Electrical Engineering Dept. UAEU, P.O. Box: 15551 Al Ain, United Arab Emirates;

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1. Parameter Identification for PEM Fuel-Cell Mechanism Model Based on Effective Informed Adaptive Particle Swarm Optimization [J] . Li Q., Chen W., Wang Y., Industrial Electronics, IEEE Transactions on . 2011,第6期

机译：基于有效信息自适应粒子群算法的PEM燃料电池机理模型参数辨识
2. Equivalent Circuit Parameters Estimation for PEM Fuel Cell Using RBF Neural Network and Enhanced Particle Swarm Optimization [J] . Wen-Yeau Chang Mathematical Problems in Engineering . 2013,第pta2期

机译：基于RBF神经网络和改进粒子群算法的PEM燃料电池等效电路参数估计。
3. Equivalent Circuit Parameters Estimation for PEM Fuel Cell Using RBF Neural Network and Enhanced Particle Swarm Optimization [J] . Wen-YeauChang Mathematical Problems in Engineering: Theory, Methods and Applications . 2013,第5期

机译：基于RBF神经网络和改进粒子群算法的PEM燃料电池等效电路参数估计。
4. A PARAMETER IDENTIFICATION APPROACH OF A PEM FUEL CELL STACK USING PARTICLE SWARM OPTIMIZATION [C] . Reem I. Salim, Hassan Noura, Abbas Fardoun ASME international fuel cell science, engineering, and technology conference . 2014

机译：PEM燃料电池堆的参数识别方法使用粒子群优化
5. Modeling, Parameter Identification, and Degradation-Conscious Control of Polymer Electrolyte Membrane (PEM) Fuel Cells [D] . Goshtasbi, Alireza. 2019

机译：聚合物电解质膜（PEM）燃料电池的建模，参数鉴定和劣化控制
6. Thermal Layout Analysis and Design of Direct Methanol Fuel Cells on PCB Based on Novel Particle Swarm Optimization [O] . Zhenyu Yuan, Wenhui Chuai, Zhongming Guo, 2019

机译：基于新型粒子群算法的PCB直接甲醇燃料电池热布局分析与设计
7. Particle Swarm Optimization based predictive control of Proton Exchange Membrane Fuel Cell (PEMFC)* [O] . 2005

机译：基于粒子群优化的质子交换膜燃料电池（pEmFC）预测控制*

A PARAMETER IDENTIFICATION APPROACH OF A PEM FUEL CELL STACK USING PARTICLE SWARM OPTIMIZATION

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