Temperature Maintenance of Proton Exchange Membrane Fuel Cell System Based on Genetic Algorithm

Jianhua Jin. Xiaochun Xia. Yuchao Shi. Zhaoshun Wu. Xingyi Chen. Wenxuan Zhang.

DOI: https://doi.org/10.70114/acmsr.2024.1.1.P143

Keywords:

PEMFC; Temperature Dynamic Model; Genetic Algorithm.

Abstract:

Temperature is one of the main factors affecting proton exchange membrane fuel cells(PEMFC). In severe cold conditions, when equipment with PEMFCs is shut down for a short period of time, the battery temperature will drop to below zero degrees Celsius. Under this condition, the generation of ice will increase the battery start-up time, and cold start of PEMFC often requires additional heat sources. At the same time, repeated cold starts will seriously reduce the lifespan of proton exchange membrane fuel cells. Aiming at this problem, a temperature maintenance strategy is proposed for short-term low-power output of PEMFCs in severe cold conditions based on the temperature dynamic model of PEMFCs, which reduces energy loss through genetic algorithm effectively.