Fuel Cell Internal Resistance Test Platform Construction And Aging Trend Analysis

Vehicle proton exchange membrane fuel cells with the characteristics of no pollution,high energy density,and fast fuel makeup,have been studied by many scholars.However,its short service life is one of the important factors restricting the large-scale commercial development of fuel cells.In order to prolong the service life of fuel cells,it is necessary to deeply study the aging trend of fuel cells,and lay a research foundation for the improvement of fuel cell life.Therefore,in order to evaluate the aging trend of fuel cells,this paper builds a real-time monitoring platform for the internal resistance of fuel cells,and realizes the real-time evaluation of the health status of fuel cells based on the collected internal resistance data,thus completing the research and analysis of the aging trend of fuel cells.The specific research contents of this paper are as follows:First,the working principle and aging process of fuel cells are explained,different fuel cell state test methods are compared,and alternating current impedance test methods for evaluating the aging trend of fuel cells are proposed to provide a theoretical basis for the construction of fuel cell impedance test platforms.Second,the test mechanism of fuel cell impedance spectroscopy is analyzed.By establishing the fuel cell impedance spectroscopy model,the identification and analysis of the fuel cell impedance parameters are realized,and the health status of the fuel cell is monitored in real time based on the analysis results.In the case of constant load,a semi-empirical model of the fuel cell voltage changes with time is established,and the extended Kalman filter algorithm is used to realize the real-time estimation of the fuel cell aging state.Then,based on the fuel cell internal resistance test principle,the Lab VIEW internal resistance real-time online test platform was established,and the related software and hardware design and development of the test platform were completed,which provided data support for real-time assessment of fuel cell health and aging trends.Finally,the French open source fuel cell data set is used to verify the proposed fuel cell aging trend prediction method.The verification results show that the method can more accurately estimate the fuel cell aging state.Based on this method,a fuel cell aging trend monitoring platform is established,which has important engineering application value in ensuring the safe and stable operation of the fuel cell system,extending the service life,and improving and optimizing system efficiency.