Energy-Efficient Train Control: Towards Decarbonization of Future Railway Transportation
Abstract
With increasing concerns on global climate change, decarbonization of railway sector is underway at an unprecedent pace. Energy-Efficient Train Control (EETC) as first officially studied since 1980s has attracted many dedicated researchers in the field. This seminar will demonstrate how EETC can be further developed with the cutting-edge computing technology to make contributions towards decarbonization via operation optimization.
This seminar will begin by introducing the backgrounds, which is followed by a brief discussion on the classic train optimal control as one of the most important methods addressing EETC. After that, I will offer a review on the EETC based on Mixed-Integer Linear Programming (MILP) proposed by my team in 2018. Using the proposed MILP-based EETC method, I will go through a few recent research outcomes in various applications including on-board energy storage devices, hydrogen fuel-cell trains, and high-speed trains, etc. Towards the end of this seminar, I will offer a quick discussion on the future development and draw a conclusion.
Biography
Shaofeng Lu is currently an Associate Professor with the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology (SCUT). Before joining SCUT, He was a faculty member with Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University (XJTLU) from Sep. 2013 to Aug. 2019.
Dr. Lu received the BEng degree from Huazhong University of Science and Technology (HUST), Wuhan, China in 2007 and PhD degree with the "School Best Over-all PhD Prize" from the University of Birmingham, Birmingham, UK in 2011. His research interests include energy-efficient train control, electric vehicle management in smart grids, energy storage application and complex network theory applications, etc.