This invention provides a method for identifying parameters of a
heat pump system based on an improved Adam co-
evolutionary algorithm, belonging to the field of industrial control process
system identification technology. It solves the technical problems of traditional algorithms in
heat pump system parameter identification, such as lack of physical constraint guidance, easy output of meaningless solutions,
slow convergence speed, and the tendency of co-evolutionary algorithms to get trapped in local optima. The method includes the following steps: Step 1) Constructing a Hammerstein-Wiener model of an air-source
heat pump based on the thermodynamic mechanism of core components; Step 2) Constructing the identification process of the improved Adam co-
evolutionary algorithm, combining three groups of cooperative search,
chaotic mechanisms, and the Adam optimizer to achieve efficient and accurate parameter identification. This invention uses the improved Adam co-
evolutionary algorithm for air-source heat pump system parameter identification, which has both fast convergence speed and high identification accuracy, effectively avoids local optima, and has small parameter
estimation errors.