A train energy-saving trajectory optimization method under coupling operation condition constraints

Abstract

The application discloses a train energy-saving trajectory optimization method under coupling operation condition constraints and relates to the technical field of rail transit operation control. The method comprises the following steps: a train dynamic kinematics model is built, a target function is constructed by taking traction energy consumption and ride comfort as targets, a train operation section is divided into a plurality of sub-sections, feasible working condition sequence combinations of the sub-sections are determined, a mixed integer linear programming model considering coupling constraints is constructed and solved, a globally optimal train operation speed trajectory and a corresponding discrete working condition sequence are obtained, discrete working condition control instructions in a full-line space domain are generated according to the globally optimal train operation speed trajectory and the corresponding discrete working condition sequence, the control instructions are issued to a train automatic operation system, and closed-loop energy-saving operation control is carried out. The method effectively overcomes the problem that a traditional strategy is discontinuous in an electric split phase area, realizes smooth transition of a driving state, accurately obtains a globally optimal solution, and significantly reduces total traction energy consumption of the system.

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