Energy-efficient speed profile optimization for medium-speed maglev trains

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Energy-efficient speed profile optimization for medium-speed maglev trains

Lai, Qingying / Liu, Jun / Haghani, Ali / Meng, Lingyun / Wang, Yihui

Highlights • Train speed optimization was employed to reduce medium-speed maglev energy usage. • Dynamic programming and mixed-integer linear programming methods were developed. • Auxiliary stopping, nonlinear resistance, and suspension energy were considered. • Both methods ensure medium-speed maglev safety and energy-efficient operation. • Emergency trajectory planning is possible with mixed-integer linear programming.

Abstract This study addresses the problem of reducing the energy consumption of the medium-speed maglev (MSM) system by optimizing the train speed profile. Auxiliary stopping areas, the nonlinear resistance caused by the linear motor, and the suspension energy consumption are considered in the formulation of the speed profile optimization problem. Next, dynamic programming and mixed-integer linear programming (MILP) approaches that utilize these characteristics are proposed to solve the problem. The numerical results show that both approaches ensure MSM train safety and energy-efficient operation. Furthermore, the MILP approach could be used for emergency trajectory planning due to its shorter computational time.