Patent ID: 11958365
Assignee: JIANGXI UNIVERSITY OF SCIENCE AND TECHNOLOGY
Field: Transport (Mechanical engineering)
Classification: CPC B  G  Y | IPC B  G

Claim 3:
4. The method for dual-motor control on an electric vehicle based on adaptive dynamic programming according to claim 3, wherein the execution network training in S22 can be expressed by the following formula:

cl+1(xk)=min{U(xk,uk)+J(xk+1,cl)}  (4), wherein

J(xk,cl)≥J(xk,cl+1), J denotes a cost function, U denotes a utility function, xk denotes input of the execution network at a current moment, xk+1 denotes input of the execution network at a next moment, uk denotes output of the execution network at the current moment, cl denotes a control law at the current moment, and cl+1 denotes a control law at the next moment; and
the evaluation network training can be expressed by the following formula:

Jl+1(xk,c)=U(xk,uk)+Jl(xk+1,c)  (5), wherein

Jl+1(xk,c)≤Jl(xk+1,c), Jl denotes a cost function at the current moment, Jl+1 denotes an updated cost function, and c denotes a given control law.