A shift strategy optimization and tracking control method and system for a hybrid electric vehicle

Abstract

The application discloses a hybrid vehicle shifting strategy optimization and tracking control method and system; the method comprises: determining an optimization control goal related to an originalvehicle control system of a hybrid vehicle; acquiring an optimal control law of the original vehicle control system under the optimization control goal according to the minimum principle; reconstructing the original vehicle control system to obtain a reconstructed system, constructing a corresponding closed-loop status observer for the reconstructed system, wherein status variables of the reconstructed system include status variables and co-state variables of the original vehicle control system; determining, according to the optimal control law, an optimal solution of the reconstructed systemunder the optimization control goal so as to optimize a vehicle shifting strategy. The original vehicle control system is reconstructed, the closed-loop status observer is added to track the reconstructed system, the problem of solving boundary values of co-state variables is avoided, the shifting strategy is optimized, and the vehicle system is better in dynamic performance, economy and riding comfort.

Description

technical field [0001] The invention relates to the field of optimization control, in particular to a hybrid electric vehicle shift strategy optimization and tracking control method and system. Background technique [0002] A hybrid vehicle refers to a vehicle with two or more power sources. Through the coordination and cooperation between different power sources, on the premise of ensuring the power, stability and driving comfort of the vehicle, it is more powerful than traditional vehicles. more energy efficient. Under the condition that the structure and efficiency characteristics of the various parts of the car remain unchanged, the shift strategy of the hybrid electric vehicle plays a decisive role in the efficiency of the original vehicle control system, so the optimization of the shift strategy is the main research direction for those skilled in the art . [0003] In the prior art, the minimum value principle is used to optimize the energy management strategy based ...

AI Technical Summary

Problems solved by technology

However, the minimum value principle algorithm is a function limited to time, and the process of determining the optimal solution also needs to solve the boundary value problem of co-state variables, and co-state variables are not easy to measure directly

That is, the optimal control law determined by the minimum value principle is a function of time, which is equivalent to open-loop control. The robustness and anti-disturbance of the system are poor, and due to the uncertainty of co-state variables, the control of the system less effective

Images