Optimal Design Of High Temperature Proton Exchange Membrane (HT-PEM) Fuel Cell Based On Surrogate Model

The energy shortage and environmental pollution problems caused by the great prosperity and development of the industrial society for hundreds of years have become increasingly prominent.The development of sustainable clean energy has become the key to the sustainable development of today's society.As an energy conversion device based on the electrochemical principle,proton exchange membrane fuel cells have received extensive attention due to their good conversion efficiency and clean and sustainable characteristics,and have been used in many fields.In addition,high-temperature proton exchange membrane fuel cells do not require complex water and heat management systems and have better CO tolerance than lowtemperature proton exchange membrane fuel cells,so more and more research is focused on high-temperature proton exchange membrane fuel cells.Performance issues have always been the key to restricting the development of hightemperature proton exchange membrane fuel cells,and one of the keys to solving the performance issues lies in determining appropriate operating conditions and reasonable flow field design.Although there are many studies on the operating conditions and flow field design of proton exchange membrane fuel cells,these studies are often limited by cost and only involve a few points in the design domain for analysis.For complex multi-field coupled hightemperature proton exchange membrane fuel cells,this traditional method can easily cause the design to fall into local optimum.In order to solve the shortcomings of the existing methods,this paper proposes an analysis and design method for high-temperature proton exchange membrane fuel cells based on the surrogate model.This method can construct a surrogate model suitable for the entire design domain through a small number of samples.It can realize global analysis and optimized design of high temperature proton exchange membrane fuel cells.With this method,this article analyzes and optimizes the operating conditions and flow field design of the high-temperature proton exchange membrane fuel cell.The results prove the effectiveness of the method and prove that it is worthy of popularization and application in the optimal design of high-temperature proton exchange membrane fuel cell.The main work of this article:(1)Introduces the basic assumptions and basic control equations involved in the numerical modeling of high-temperature proton exchange membrane fuel cells.On this basis,a three-dimensional isothermal CFD numerical model is established to analyze the cell performance of different design parameters,and the accuracy of the established numerical model was proved by two experiments.(2)Introduce the basic principle and application scope of multiple surrogate model methods including artificial neural network,and introduce genetic algorithm for flow field parameter optimization design.(3)Surrogate models of the operating conditions and flow field structure are constructed.The effects of different design variables on the cell performance are analyzed,and the optimal flow channel design under a fixed activation area is obtained with the optimization algorithm.