Parallel Computation and Optimization of Proton Exchange Membrane Fuel Cell Models

doi:10.16183/j.cnki.jsjtu.2023.636

Abstract

Abstract:

To achieve highly efficient and precise simulation of proton exchange membrane fuel cells (PEMFCs) and stacks, this paper develops a three-dimensional coupled one-dimensional hybrid dimension modeling strategy based on the Fluent solver and conducts 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. It also proposes two new parallel strategies including the data compression synchronization method and the data filter marker method, based on the data coupling characteristics of the hybrid dimension model. Then, this paper describes the principles and processes of three data synchronization methods in detail, and investigates the impact of these methods on the solving efficiency of parallel computation of PEMFC models. The results show that the data filter marker method can achieve an acceleration ratio up to 112.5 times compared with PRF_GRSUM macro when simulating a PEMFC stack with a hundred cells.

Key words: proton exchange membrane fuel cell (PEMFC), parallel computation, hybrid dimension model, data filter marker method

CLC Number:

LIU Ke, HAO Liang, GENG Jun, CHEN Xun, LU Wei. Parallel Computation and Optimization of Proton Exchange Membrane Fuel Cell Models[J]. Journal of Shanghai Jiao Tong University, 2025, 59(11): 1754-1762.

Figures/Tables 13

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方法	预处理	一维数组及个数	重复初始化	初始化时刻	初始化对象	各节点一致性	优点	缺点
方法1	无	1个:数组_0	需要	每次数据同步前	数组_0	一致	易实现	数据交换量最大
方法2	需编号、统计数据等	2个:数组_0、数组_1	需要	每次数据同步前	数组_1	数组_1一致	效率较方法1高	编程过程繁琐
方法3	需编号、标识数据	1个:数组_0	不需要	每次数据同步前	数组_0	不一致	效率最高	易出错,难度较大

需要交换数据的量	所用核数	消耗时长/s
需要交换数据的量	所用核数	方法1	方法2	方法3
56	2	1261.240	839.320	836.860
135	4	993.270	437.332	436.217
358	8	1017.454	256.242	256.474
710	16	1098.927	145.131	149.206
1271	32	1255.663	115.212	123.052
1823	48	2040.343	107.112	121.867
2491	64	2462.074	132.015	156.739
3938	96	3026.511	132.948	185.341