The application provides a vehicle-mounted refrigerator
temperature control method and
system, and relates to the technical field of intelligent networked vehicles. First, the application collects historical travel basic data and vehicle state data of the vehicle, and according to the coordinates of the starting point and the destination, the starting point is classified as a reference starting area, and the
terminal point is classified as a reference destination area. The
terminal point is mapped to the reference destination area, and the nearest charging
pile thereof is taken as the destination area. A travel
route is generated based on the reference starting area and the destination area, and the
travel time is counted. When the navigation is started, the estimated
travel time is estimated, a trained classification model is used to predict the travel
route, parameters strongly related to the travel charging are extracted through PCA, and a
logistic regression model is input to complete the charging behavior prediction. Finally, according to the navigation state and the charging prediction result, the remaining power after reaching the destination area is calculated by combining the estimated
travel time, the refrigerator
power consumption parameter and the vehicle unit mileage driving
energy consumption, and the travel is divided into multiple typical operation scenarios to control the
operation mode of the refrigerator compressor.