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Updated: Jan 30, 2026

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固氧化物燃料电池模拟模型调整使用运行条件依赖的优化技术.
Haya Hesham1, Mohamed Abdel Rahman2, Ghada Bassioni3
1Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt. haya.hesham@eng.asu.edu.eg.
Scientific reports
|January 28, 2026
概括
这项研究模拟了固体氧化物燃料电池 (SOFC),重点关注电压稳定性和优化性能. 摩优化算法 (WaOA) 显著提高了模型准确性,并增加了输出功率.
科学领域:
- 电化学 电化学 电化学
- 能源系统工程 能源系统工程
- 计算建模 计算建模
背景情况:
- 固体氧化物燃料电池 (SOFC) 是一种先进的能量转换装置.
- 了解SOFC动态行为和优化性能对于电网集成至关重要.
- 现有的模型往往在动态响应和优化方面缺乏精度.
研究的目的:
- 开发和验证传统和可逆SOFCs的数学模型.
- 为了研究SOFC在电流变化后的短暂电压稳定性.
- 通过使用先进的优化算法来提高SOFC模型的准确性.
主要方法:
- 对SOFC性能进行数学建模和模拟.
- 静态V-I极化曲线和短暂电压响应的分析.
- 优化算法的应用:海优化算法 (WaOA),秘书鸟优化算法 (SBOA),混乱游戏优化 (CGO) 和基于教学学习的优化 (TLBO).
主要成果:
- 与其他算法相比,WaOA展示了最小的建模错误,实现了优越的模型校准.
- 基于WaOA的调整将模型错误减少了超过五个数量级,而不是传统的曲线匹配.
- 使用WaOA优化反应剂流量,导致输出功率大约增加6%.
结论:
- 提出的基于WaOA的SOFC建模方法显著提高了准确性和预测能力.
- 通过WaOA优化的SOFC操作可以提高效率和功率输出.
- 这项研究有助于通过精确的动态建模,更好地将SOFC纳入电网.
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