为实现质子交换膜燃料电池与电堆的高效和高精度仿真，本文基于FLUENT求解器开发了一套三维耦合一维的混合维度仿真程序，深入分析了FLUENT内置的Global Summations宏（PRF＿GRSUM）对燃料电池仿真程序并行求解效率的影响，并基于混合维度模型的数据耦合特性，创新性地提出了数据压缩同步法和数据筛选标记法两种新的并行策略。本文详细阐述了三种数据交换方法的原理和流程，并通过简化模型测试了它们对程序求解效率的影响，结果表明采用数据筛选标记法相比于使用PRF＿GRSUM宏方法，计算包含百节电池的燃料电池堆的加速比达到112.5倍。

To achieve high- efficient and precision simulation of proton exchange membrane (PEM) fuel cells and stacks, this work develops a three-dimensional coupled one-dimensional hybrid dimension modeling strategy based on the FLUENT solver. An in-depth analysis of the impact of the FLUENT built-in Global Summations macro (PRF_GRSUM) on the parallel solving efficiency of fuel cell simulation was conducted. Based on the data coupling characteristics of the hybrid dimension model, two new parallel strategies, including the data compression synchronization method and the data filter marker method, are proposed. The principles and processes of these three data synchronization methods are described in detail, and the impact of these methods on the solving efficiency of parallel computation of PEM fuel cell models is investigated. The results show that the data filter marker method can speed up the simulation to 112.5 times compared to using the PRF_GRSUM macro when simulating a PEM fuel cell stack with a hundred cells.