Hybrid consist tractive effort management

Abstract

A train control system minimizes in-train forces in a train with a hybrid consist including a diesel-electric locomotive and a battery electric locomotive. The train control system includes a virtual in-train forces modeling engine configured to simulate in-train forces and train operational characteristics using physics-based equations, kinematic or dynamic modeling of behavior of the train or components of the train when the train is accelerating, and inputs derived from stored historical contextual data characteristic of the train, and a virtual in-train forces model database configured to store in-train forces models. Each of the in-train forces models includes a mapping between combinations of the stored historical contextual data and corresponding simulated in-train forces and train operational characteristics that occur when the consist is changing speed. An energy management system determines an easing function of tractive effort vs. time that will minimize the in-train forces created by changes in tractive effort responsive to power notch changes in a diesel-electric locomotive, and commands execution of the easing function by a battery electric locomotive based at least in part on an in-train forces model with simulated in-train forces and train operational characteristics that fall within a predetermined acceptable range of values.