Optimization for Train Energy Performance

Johan Brändström (Uppsala University)

CHALLENGE -  Decreasing energy consumption in trains is explored in this study, focusing on driving style optimization and the optimization of the distribution of run time between stations. There are many studies on energy optimization with regard to either drive style or time table optimization, but they are rarely connected in one study.

SOLUTION - By coupling an optimization software with an energy performance tool developed by Bombardier, different parametrizations are investigated in this paper. The two main objectives are schedule improvement and drive style optimization. The train energy performance was optimized by coupling software TEP to the optimization software modeFRONTIER. The MOGA-II optimization results were used to create the RSM-surface. Two drive styles that were investigated in this project were Drive Assistance System (DAS) and AODC  (All Out Drive style combined with Coasting). In Train Energy Performance (TEP) the drive style properties of the train was chosen for drive style optimizer which chooses where the traction- and braking force is applied in order for the train to drive in an energy efficient manner.

BENEFIT - Comparing the eight best results of the MOGA-II optimization of the GMTD schedule, the best design in the distribution of run times theoretically saves 1,25 percent energy compared to the baseline. Furthermore, the best DAS-design had about 1kWh less energy consumption than the best AODC-result, approximately 5 percent less.