Temperature control system of electric vehicle heat pump air conditioning based on BP neural network

With the rapid development of the electric vehicle industry, the comfort requirements of the interior environment are increasing, and the heat pump air conditioning system is an important part of the electric vehicle, and its performance optimization and control are particularly important. This paper first analyzes the working principle of the heat pump air conditioning system of electric vehicles, and defines the complexity of its temperature control. On this basis, BP neural network, an advanced control technology, is introduced. By constructing the mathematical model of the heat pump air conditioning system, and using BP neural network for training and learning, the accurate prediction and adjustment of the system temperature control can be realized. Through experimental verification, compared with traditional control methods, the temperature control system based on BP neural network proposed in this paper shows significant advantages in response speed, control accuracy and stability, and effectively improves the overall performance of electric vehicle heat pump air-conditioning system.