Digital Twin for Air Conditioning Systems Based on Electric Vehicle Operating Data

The article proposes a method for real-time prediction of air conditioning refrigerant status and passenger compartment outlet air status based on a digital twin drive. By building a simulation model with high accuracy and matching the real thermal management architecture, the model can reflect the dynamic simulation of the actual operation. Based on this, the paper proposes a digital twin model of the air conditioning system using a large amount of realistic and credible real vehicle data combined with neural networks to predict the air conditioning refrigerant state and the air outlet air state in real time. This model provides real-time monitoring and prediction for the air conditioning control strategy.