The present disclosure provides a cooperative distributed model predictive control (Co-DMPC)-based chassis multi-agent system (MAS) cooperative control method for autonomous vehicles, a controller, and a storage medium. A distributed state-space equation with state coupling and control input coupling characteristics is established. Meanings and transformation methods of predicted trajectories, assumed trajectories, and optimal trajectories of the states and control inputs are designed, providing a communication basis for information exchange between the agents. In order to coordinate the global performance indexes of a vehicle, a local agent optimization problem considering cost coupling is established, and the influence of the cooperative relationship on the control effect is quantitatively analyzed through adaptive weight coefficients. A method of performing a plurality of iterations within a unit sampling time is adopted, and iteration errors are utilized to enable the controller to achieve a balance between solution accuracy and efficiency.

The disclosed vehicle control device (10) controls outputs of a left driving source (2L) and a right driving source (2R) in a vehicle (1) provided with a left driving system including a left axle (4L) and a left wheel (5L) and a right driving system including a right axle (4R) and a right wheel (5R) and includes: a calculator (11) that calculates an equivalent sum value corresponding to a sum of a left requested torque and a right requested torque and an equivalent difference value corresponding to a difference between the left requested torque and the right requested torque; a sum model that models motion states of the left driving system and the right driving system while the vehicle (1) is running straight, the equivalent sum value being applied to the sum model; a difference model that models motion states of the left driving system and the right driving system while the vehicle (1) is cornering, the equivalent difference value being applied to the difference model; and a controller (12) that controls the outputs, using a sum-mode instruction torque and a difference-mode instruction torque obtained by application to the sum model and the difference model, respectively.