The invention belongs to the technical field of
vehicle control, and discloses a networked automobile
CAN bus control method and
system, and the method comprises the steps: analyzing multi-
source data of a networked automobile, constructing a multi-level control architecture based on an analysis result, setting a condition threshold value between control levels, and employing a
genetic algorithm to dynamically optimize the condition threshold value as a control threshold value; constructing a threshold prediction model by using a
time sequence prediction
algorithm, predicting the state and operation scene change of an
electronic control unit in the networked automobile by combining the obtained historical multi-
source data, and generating a control prediction threshold; and in combination with the control threshold value and the control prediction threshold value, generating a cooperative control value through a cooperative recommendation strategy, and formulating a corresponding control strategy. According to the invention, a multi-level control architecture is constructed through multi-
source data analysis, a communication threshold is dynamically optimized in combination with a
genetic algorithm, the
CAN bus load is reduced, the communication efficiency and real-time performance are improved, key
message delay is avoided, and the stability and
resource utilization capability of a vehicle-mounted network are enhanced.