Affiliation:
1. Graduate School of Science and Technology Sophia University Chiyoda‐ku Tokyo Japan
Abstract
AbstractThe energy consumption of a battery‐powered train in an interstation depends on the running time and state of energy (SOE) at departure. In this paper, we develop an optimization method of train timetables to minimize energy consumption in line with several stations. The variables in this proposed optimization model are running, dwell, and charging times as real numbers and places of charging facilities as binaries. Additionally, we conducted a case study using the real‐world light rail transit (LRT) route, vehicle, and onboard battery model to confirm the effectiveness. In the case study, the proposed method can optimize the timetable and placement of charging facilities by considering the track gradient and battery SOE.
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference24 articles.
1. Ministry of Land Infrastructure Transport and Tourism: 2021 White Paper on Transport Policy.2021:30‐48(in Japanese)
2. Agency for Natural Resources and Energy: 2020 Annual Report on Energy (Energy White Paper) 2021:97(in Japanese)
3. Ministry of Land Infrastructure Transport and Tourism: Railways by Numbers 2019.2019:190(in Japanese)
4. A Two-Step Method for Energy-Efficient Train Operation, Timetabling, and Onboard Energy Storage Device Management
5. Development of a traction circuit for battery‐powered and AC dual source EMU and the running test evaluation of the on‐board battery performance;Taguchi Y;RTRI Rep,2014