质子交换膜燃料电池膜中气态水管理模型

A gaseous water management model for proton exchange membrane fuel cell membrane

分析质子交换膜燃料电池的膜水含量与运行参数的关系,从工程方法的角度建立水传输模型.模型分析得到,要提高膜的水合程度,需要通过增湿反应气体.过高的增湿反应气体又会引起阴极扩散层水的泛滥,需通过调节反应气体流量来缓解水的泛滥.为保证膜的高水合程度和低的阴极扩散层水的泛滥,建立了膜水含量的神经网络控制模型,为电池水管理奠定了基础.

The relationship between membrane water content and operation parameters of the proton exchange membrane fuel cell （PEMFC） was analyzed. A water transport model was developed with engineering approach. The model showed that the membrane water content was increased by humidifying the reaction gas. However, overly humidified reaction gas led to flooding of the diffusion layer. So, the reaction gas flow of the cathode was regulated to resolve the flooding problem. Consequently, in order to assure a high membrane water content and low flooding of the cathode diffusion layer, a control model was built for the membrane water content based on the neural networks to achieve water management of the PEMFC.