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Updated: Jun 10, 2025

A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells
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基于混乱的教学-学习的优化技术的应用,用于估计质子交换膜燃料电池模型的未知参数

Uliya Mitra1, Anoop Arya2, Sushma Gupta2

  • 1Department of Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal, India. uliya0289.mitra@gmail.com.

Environmental science and pollution research international
|October 19, 2024
PubMed
概括

这项研究通过准确估计参数以最大限度地减少电压损失,提高了质子交换膜燃料电池 (PEMFC) 的性能. 基于混乱的教学-学习优化 (CTLBO) 算法在提高PEMFC效率方面被证明是优越的.

关键词:
参数估计的参数估计.极化曲线的极化曲线一个半经验模型.平方误差的总和.基于学习的教学优化 (TLBO)

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