scholarly journals Energy-Efficient Speed Profile Optimization for High-Speed Railway Considering Neutral Sections

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 25090-25100
Author(s):  
Zhang Bin ◽  
You Shijun ◽  
Zhang Lanfang ◽  
Li Daming ◽  
Chen Yalan
Keyword(s):  
Energy Efficient ◽  
High Speed ◽  
Speed Profile ◽  
High Speed Railway ◽  
Profile Optimization

scholarly journals Feedforward Tactical Optimization for Energy-Efficient Operation of Freight Trains: The Swiss Case

2018 ◽  
Vol 2672 (10) ◽  
pp. 278-288 ◽  
Author(s):  
Valerio De Martinis ◽  
Ambra Toletti ◽  
Francesco Corman ◽  
Ulrich A. Weidmann ◽  
Andrew Nash
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Real Data ◽  
Efficient Solutions ◽  
Future Market ◽  
Speed Profile ◽  
Efficient Operation ◽  
The North ◽  
Simulation Based ◽  
Profile Optimization

The optimization of rail operation for improving energy efficiency plays an important role for the current and future market of rail freight services and helps rail compete with other transport modes. This paper presents a feedforward simulation-based model that performs speed profile optimization together with minor rescheduling actions. The model’s purpose is to provide railway operators and infrastructure managers with energy-efficient solutions that are tailored especially for freight trains. This work starts from the assumption that freight train characteristics are completely defined only a few hours before actual departure; therefore, small specific feedforward adjustments that do not affect the surrounding operation can still be considered. The model was tested in a numerical example. The example clearly shows how the optimized solutions can be evaluated with reference to energy saved and robustness within the rail traffic. The evaluation is based on real data from the North–South corridor crossing Switzerland from Germany to Italy.

scholarly journals Energy-Efficient Speed Profile Optimization and Sliding Mode Speed Tracking for Metros

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6093
Author(s):  
Xiaowen Wang ◽  
Zhuang Xiao ◽  
Mo Chen ◽  
Pengfei Sun ◽  
Qingyuan Wang ◽  
...  
Keyword(s):  
Energy Saving ◽  
Energy Efficient ◽  
Artificial Bee Colony ◽  
Sliding Mode ◽  
Speed Profile ◽  
Terminal Sliding Mode ◽  
Bee Colony ◽  
Speed Tracking ◽  
Speed Error ◽  
Profile Optimization

Nowadays, most metro vehicles are equipped with an automatic train operation (ATO) system, and the speed control method, combining cruise speed planning and proportional-integral-derivative (PID) control, is widely used. The automation is achieved, and the energy-efficient can be improved. This paper presents an improved artificial bee colony algorithm for speed profile optimization with coast mode and an adaptive terminal sliding mode method for speed tracking. Specifically, a multi-objective optimization model is established, which considers energy consumption, comfortableness, and punctuality. Then, a novel artificial bee colony algorithm named regional reinforcement artificial bee colony (RR-ABC) is designed, to search the optimal speed profile with coast mode, in which some improvements are made to speed up convergence and to avoid local optimal solutions. For speed-tracking control, the adaptive terminal sliding mode controller (ATSMC) is used to improve the speed error, robustness, and energy saving. In addition, a disturbance observer (DOB) is designed to improve the anti-interference ability of the system and further improve the robustness and anti-disturbance, which are also conducive to speed error and energy saving. Finally, the line and train data of the Qingdao Metro Line 6 are used for simulation, which proves the effectiveness of the study. Specific to the energy saving rate, and compared with normal algorithms, RR-ABC with coast mode is approximately 9.55%, and ATSMC+DOB is 7.58%.

Energy-efficient speed profile optimization for medium-speed maglev trains

2020 ◽  
Vol 141 ◽  
pp. 102007
Author(s):  
Qingying Lai ◽  
Jun Liu ◽  
Ali Haghani ◽  
Lingyun Meng ◽  
Yihui Wang
Keyword(s):  
Energy Efficient ◽  
Speed Profile ◽  
Medium Speed ◽  
Profile Optimization

scholarly journals Speed profile optimization of an electrified train in Cat Linh-Ha Dong metro line based on pontryagin's maximum principle

2020 ◽  
Vol 10 (1) ◽  
pp. 233 ◽  
Author(s):  
An Thi Hoai Thu Anh ◽  
Nguyen Van Quyen ◽  
Nguyen Thanh Hai ◽  
Nguyen Van Lien ◽  
Vu Hoang Phuong
Keyword(s):  
Energy Consumption ◽  
Maximum Principle ◽  
Energy Efficient ◽  
Pontryagin’S Maximum Principle ◽  
Regenerative Braking ◽  
Speed Profile ◽  
Pontryagin's Maximum Principle ◽  
Efficient Operation ◽  
Train Operation ◽  
Profile Optimization

An urban railway is a complex technical system that consumes large amounts of energy, but this means of transportation still has been obtained more and more popularity in densely populated cities because of its features of high-capacity transportation capability, high speed, security, punctuality, lower emission, reduction of traffic congestion. The improved energy consumption and environment are two of the main objectives for future transportation. Electrified trains can meet these objectives by the recuperation and reuse of regenerative braking energy and by the energy - efficient operation. Two methods are to enhance energy efficiency: one is to improve technology (e.g., using energy storage system, reversible or active substations to recuperate regenerative braking energy, replacing traction electric motors  by energy-efficient traction system as permanent magnet electrical motors; train's mass reduction by lightweight material mass...); the other is to improve operational procedures (e.g. energy efficient driving including: eco-driving; speed profile optimization; Driving Advice System (DAS); Automatic Train Operation (ATO); traffic management optimization...). Among a lot of above solutions for saving energy, which one is suitable for current conditions of metro lines in Vietnam. The paper proposes the optimization method based on Pontryagin's Maximum Principle (PMP) to find the optimal speed profile for electrified train of Cat Linh-Ha Dong metro line, Vietnam in an effort to minimize the train operation energy consumption.

scholarly journals Iterative Learning-Based Path and Speed Profile Optimization for an Unmanned Surface Vehicle

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 439 ◽  
Author(s):  
Yang Yang ◽  
Quan Li ◽  
Junnan Zhang ◽  
Yangmin Xie
Keyword(s):  
Vehicle Dynamics ◽  
High Speed ◽  
Measurement Accuracy ◽  
Learning Algorithm ◽  
Path Following ◽  
Iterative Learning ◽  
Speed Profile ◽  
Hydrographic Survey ◽  
Turning Radius ◽  
Profile Optimization

Most path-planning algorithms can generate a reasonable path by considering the kinematic characteristics of the vehicles and the obstacles in hydrographic survey activities. However, few studies consider the influence of vehicle dynamics, although excluding system dynamics may considerably damage the measurement accuracy especially when turning at high speed. In this study, an adaptive iterative learning algorithm is proposed to optimize the turning parameters, which accounts for the dynamic characteristics of unmanned surface vehicles (USVs). The resulting optimal turning radius and speed are used to generate the path and speed profiles. The simulation results show that the proposed path-smoothing and speed profile design algorithms can largely increase the path-following performance, which potentially can help to improve the measurement accuracy of various activities.

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