使用g函数和自适应差异演变算法对PEM燃料电池进行高级建模和参数估计.
Martin Ćalasan1, Snežana Vujošević1, Mihailo Micev2
1Faculty of Electrical Engineering, University of Montenegro, Džordža Vašingtona, Podgorica, 81000, Montenegro.
Scientific reports
|December 22, 2025
概括
本研究引入了一种新的方法,用于模拟使用g函数和自适应差异演变 (SaDE) 算法进行参数估计的质子交换膜燃料电池 (PEMFC),从而提高准确性和稳定性.
科学领域:
- 能源系统工程 能源系统工程
- 计算机建模 计算建模
- 电化学工程 电化学工程
背景情况:
- 质子交换膜燃料电池 (PEMFC) 对可持续能源至关重要,需要精确的电气特性模型.
- 传统的电压-电流模型不足以控制系统;需要电流-电压模型.
- 现有的模型面临数值限制,需要强大的参数估计.
研究的目的:
- 开发使用g函数的PEMFCs的新型电流电压模型.
- 引入一个自适应差异演变 (SaDE) 算法,以高效地估计PEMFC参数.
- 通过比较分析验证拟议的建模和参数估计方法.
主要方法:
- 使用g函数,这是兰伯特W函数的稳定转换,用于PEMFC建模.
- 采用自适应差异演变 (SaDE) 算法进行参数估计.
- 在三个PEMFC系统 (巴拉德Mark V,BCS 500,NedStack PS6) 进行了比较分析和灵敏度分析.
主要成果:
- 拟议的g函数模型与SaDE参数估计证明了更好的准确性和数值稳定性.
- 实现了根平均平方误差 (RMSE) 减少高达6.65%和平方误差总和 (SSE) 增加高达12.87%.
- 该方法显示了在不同类型的PEMFC中稳定性和可转移性.
结论:
- 新的基于g函数的PEMFC模型和SaDE算法提供了更高的准确性和高效的参数估计.
- 经过验证的框架支持优化PEMFC性能和融入可持续能源系统.
- 这种方法推进了PEMFC模拟用于现实世界的应用.
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