This application discloses an automated vehicle window ventilation and temperature regulation method and
system based on fuzzy control, belonging to the field of automated vehicle window control technology. The method includes: real-time acquisition of in-vehicle and out-of-vehicle
environmental data, preprocessing to obtain preprocessed in-vehicle and out-of-vehicle
environmental data; inputting the preprocessed in-vehicle and out-of-vehicle
environmental data into a
fuzzy control system to construct a
fuzzy rule base for the
fuzzy control system; optimizing the
fuzzy control system based on the Zebra optimization
algorithm and the preprocessed in-vehicle and out-of-vehicle environmental data to obtain an optimized fuzzy
control system; and dynamically adjusting the opening and closing degree of the vehicle window through a window motor
actuator using the optimized fuzzy
control system based on subsequently obtained in-vehicle and out-of-vehicle environmental data. This application, based on in-vehicle and out-of-vehicle environmental data and combined with a fuzzy
control system for optimized control, overcomes the shortcomings of existing technologies in complex environment adaptability, multi-objective optimization capability, and global convergence performance, achieving efficient and precise vehicle window ventilation and temperature regulation.