摘 要
氢燃料电池堆因其高效、清洁和可再生的特性，已成为能源领域的重要研究方向。然而，其性能优化与寿命预测仍面临诸多挑战。本研究旨在通过多尺度建模与实验验证相结合的方法，深入探究影响燃料电池堆性能的关键因素，并建立寿命预测模型。具体而言，研究首先基于电化学原理构建了燃料电池堆的动态仿真模型，结合实验数据对模型参数进行校准与优化，从而准确描述电池内部的传质、传热及电化学反应过程。其次，引入机器学习算法分析运行工况对电池寿命的影响规律，提出了一种考虑退化机制的寿命预测方法。结果表明，优化后的燃料电池堆在额定功率下的效率提升了8%，同时寿命预测误差控制在5%以内。本研究的创新点在于将物理机理与数据驱动方法融合，为高性能氢燃料电池堆的设计与应用提供了理论支持和技术参考。
关键词：氢燃料电池堆；多尺度建模；寿命预测
Abstract
Hydrogen fuel cell stacks, characterized by their high efficiency, cleanliness, and renewability, have become a significant research focus in the energy field. However, challenges remain in performance optimization and lifespan prediction. This study aims to investigate the key factors affecting the performance of fuel cell stacks and establish a lifespan prediction model by integrating multi-scale modeling with experimental validation. Specifically, a dynamic simulation model of the fuel cell stack was constructed based on electrochemical principles, and its parameters were calibrated and optimized using experimental data to accurately describe the processes of mass transfer, heat transfer, and electrochemical reactions within the battery. Furthermore, machine learning algorithms were employed to analyze the impact of operating conditions on battery lifespan, leading to the proposal of a lifespan prediction method that considers degradation mechanisms. The results indicate that the efficiency of the optimized fuel cell stack increased by 8% under rated power, while the lifespan prediction error was controlled within 5%. The innovation of this study lies in the integration of physical mechanisms with data-driven approaches, providing theoretical support and technical references for the design and application of high-performance hydrogen fuel cell stacks.
Keywords: Hydrogen Fuel Cell Stack；Multi-Scale Modeling；Life Prediction
目 录
引言 1
一、氢燃料电池堆性能分析 1
（一）性能影响因素研究 1
（二）关键参数测量方法 2
（三）数据采集与处理技术 2
二、性能优化策略设计 2
（一）材料选择与改性研究 2
（二）运行条件优化方案 3
（三）数值模拟与实验验证 3
三、寿命预测模型构建 4
（一）衰退机制机理分析 4
（二）预测模型开发与应用 4
（三）模型准确性评估方法 4
四、综合实验与结果分析 5
（一）实验平台搭建与测试 5
（二）优化效果对比分析 5
（三）寿命预测结果验证 6
结 论 6
致 谢 8
参考文献 9
