The application provides an
electric light truck urban
cruise control method and
system, which comprises the following steps: based on a federal
learning architecture, the global parameters of an urban traffic cloud platform are updated cooperatively through a federal average
algorithm; a working condition characteristic vector
library covering global urban roads is constructed according to the global parameters, a migration learning
algorithm is used to migrate the speed
trajectory planning experience under the historical optimal working condition to the inside of the working condition characteristic vector
library, and a source domain-target
domain adaptation model is constructed in combination with the remaining
battery capacity and power
system state of the
electric light truck; a speed trajectory initial framework corresponding to the
electric light truck is output through the source domain-target
domain adaptation model, and a corresponding optimization objective function is constructed according to the speed trajectory initial framework; preset constraint conditions are called out, and the optimal speed trajectory is calculated according to the constraint conditions and the optimization objective function, so that the corresponding urban
cruise is completed according to the optimal speed trajectory. The application can effectively improve the
cruise control efficiency of the electric light truck.