Modeling based on improved genetic algorithm for temperature model of PEMFC stack
The system of PEMFC stack is too complicated to model, and the parameters of the existing mathematical model are very different because the construction and materials used in the stack are different.There is no general model with high accuracy to describe all stacks and meet the need for designing the PEMFC control system. In this paper, the knowledge of heat transport and liquid kinetics is used to establish a stack model.Some parameters that have great influence on the accuracy of the model cannot be obtained from a simple experiment.Improved genetic algorithm proposed in the paper possesses excellent global and local searching capacity and is able to identify the parameters accurately.The results of simulation and experiment validate the practicability and reliability of the algorithm.