This invention relates to the field of intelligent
cockpit and vehicle thermal management technology, specifically to a multi-
sensor fusion in-vehicle adaptive
temperature control method and
system. The method includes: synchronously acquiring multi-source heterogeneous signals within the vehicle; preprocessing them through filtering and format
standardization; using Kalman filtering to perform
time synchronization and state
estimation, generating a fused
feature vector; identifying the current operating condition
label, calculating the predicted average voting value, and outputting the target predicted average voting value; calculating the basic control quantity through a
feedback controller and the disturbance compensation control quantity through a feedforward controller, and adding them to obtain the total control quantity; decomposing the total control quantity into compressor speed commands, fan
airflow commands,
damper position commands, and expansion
valve opening commands, driving
actuator actions, and outputting the
temperature control execution result. This invention solves the problems of
air conditioning control
lag, large temperature fluctuations, and unintelligent
mode switching, achieving high-precision
temperature control and seamless adaptive adjustment, significantly improving driving and passenger
thermal comfort.