摘 要
氢燃料电池汽车作为清洁能源汽车的重要发展方向，其能量管理策略对系统效率和经济性具有关键影响。本研究旨在优化氢燃料电池汽车的能量管理策略，以提升系统整体性能并降低运行成本。通过构建包含燃料电池、电池组及电机的混合动力系统模型，采用动态规划算法与自适应模糊逻辑控制相结合的方法，实现了对不同工况下能量分配的精确控制。研究结果表明，所提出的优化策略能够在典型驾驶循环中显著提高系统效率约8%，同时减少氢气消耗约12%。此外，该策略在复杂工况下的适应性更强，表现出良好的稳定性和鲁棒性。本研究的主要创新点在于将自适应控制理论引入能量管理领域，并通过实验验证了其有效性，为氢燃料电池汽车的实际应用提供了重要参考。
关键词：氢燃料电池汽车；能量管理策略；动态规划算法
Abstract
Hydrogen fuel cell vehicles represent a critical direction in the development of clean energy vehicles, where energy management strategies play a key role in determining system efficiency and economic viability. This study focuses on optimizing the energy management strategy for hydrogen fuel cell vehicles to enhance overall system performance and reduce operational costs. By constructing a hybrid power system model that integrates a fuel cell, battery pack, and electric motor, a combination of dynamic programming algorithms and adaptive fuzzy logic control is employed to achieve precise energy distribution under various driving conditions. The results demonstrate that the proposed optimization strategy can significantly improve system efficiency by approximately 8% and reduce hydrogen consumption by about 12% in typical driving cycles. Moreover, the strategy exhibits superior adaptability under complex conditions, along with excellent stability and robustness. A major innovation of this research lies in incorporating adaptive control theory into the field of energy management and experimentally validating its effectiveness, thereby providing significant reference for the practical application of hydrogen fuel cell vehicles.
Keywords: Hydrogen Fuel Cell Vehicle；Energy Management Strategy；Dynamic Programming Algorithm
目 录
引言 1
一、氢燃料电池汽车能量管理概述 1
（一）能量管理策略的重要性 1
（二）现有研究现状与挑战 2
（三）优化研究的核心目标 2
二、能量管理策略建模分析 2
（一）系统架构设计与功能分解 2
（二）动力系统能量流建模 3
（三）关键参数对性能的影响 3
三、优化算法在能量管理中的应用 4
（一）常用优化算法综述 4
（二）算法选择与适应性改进 4
（三）优化算法的验证与评估 5
四、实验验证与结果分析 5
（一）实验平台搭建与测试方法 5
（二）数据采集与处理流程 6
（三）结果分析与策略优化 6
结 论 6
致 谢 8
参考文献 9
