Modeling and performance analysis of electric vehicle air conditioning systems based on deep learning

Electric vehicles have become the mainstream direction for the future development of the automotive industry with their advantages of zero emissions, high energy efficiency and low noise pollution during driving, however, the short driving range is a key factor limiting their development, of which the energy consumption of the electric vehicle air conditioning system(ACS) occupies a large proportion of the overall vehicle energy consumption. The electric vehicle ACS needs to meet the requirements of passenger compartment comfort, but also needs to maintain the battery, motor and motor controller within the appropriate temperature operation, and at the same time should make the energy consumption as low as possible, so the reasonable design of electric vehicle ACS scheme is important for its function and range improvement. The development of electric vehicle ACS is facilitated by the effective evaluation and comparison of the advantages and disadvantages of each of the many options. Although scholars and enterprises at home and abroad have conducted a lot of research on electric vehicle air-conditioning systems for electric vehicles, there are still problems such as a single configuration scheme, simple functions, insufficient performance optimisation and few comprehensive evaluation studies. In this regard, this paper analyzes and researches the modeling and performance of electric vehicle ACS based on deep learning.