基于冗余工序编码的高速列车节能驾驶智能算法

Two redundant operation code-based methods were proposed to solve the energy-efficient driving problem of a high-speed train with steep gradients and speed limits. Based on the necessary conditions for the optimal solution derived from the Pontryagin's maximum principle, the concept of redundant operation code, including redundant operation sequence and switching area, and the generation rules were proposed. Applying the new concept, PMP-LMGA and PMP-PSO algorithms were developed to merge redundant operations and find optimal switching points. The experimental results indicate that the redundant operation code can significantly speed up the calculation in complex scenarios. Total energy consumption can be effectively and stably reduced while meeting various operation rules. Multi-agent parallel computing can further improve solution efficiency.