Wu, Chaoxian, Xu, Bin, Lu, Shaofeng, Xue, Fei, Jiang, Lin 
ORCID: 0000-0001-6531-2791 and Chen, Minwu
(2021)
Adaptive Eco-Driving Strategy and Feasibility Analysis for Electric Trains with On-Board Energy Storage Devices.
IEEE Transactions on Transportation Electrification, 7 (3).
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Final_Adaptive Eco-Driving Strategy and Feasibility Analysis for Electric Trains with On-Board Energy Storage Devices.pdf - Author Accepted Manuscript Download (1MB) | Preview |
Abstract
With the rapid progress in railway electrification and energy storage technologies, onboard energy storage devices (OESDs) have been widely utilized in modern railway systems to reduce energy consumption. This article aims to develop the optimal driving strategy of electric trains with three popular types of energy storage devices, namely supercapacitors, flywheels, and Li-ion batteries, as the OESD to minimize the net energy consumption. With the given OESD investment cost, the dynamic power limits of different types of OESDs are fully considered to optimize the dynamic discharge/charge behavior of the OESD in the train operation. The case studies investigate the train operation on fully electrified railways, discontinuously electrified railways, and catenary-free railways, showing that the optimal eco-driving strategy of the train and discharge/charge behavior of the OESD is significantly different for a different type of OESDs. The obtained train speed, OESDs' state of energy (SOE), power profiles, and energy-saving potential for each type of OESDs under various scenarios are compared comprehensively, and the results also reveal that the flywheel has the best performance for its energy-saving rate ranging from 0.15 %/k $\$ $ to 0.86 %/k $\$ $ , while a Li-ion battery is observed with the weakest performance with the energy-saving rate being only 0.01 %/k $\$ $-0.26 %/k $\$ $. The error rate analysis also confirms a satisfactory modeling accuracy of the proposed method.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Eco-driving, mixed-integer linear programming (MILP), onboard energy storage device (OESD), railway transportation |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 17 Feb 2021 09:41 |
| Last Modified: | 18 Jan 2023 23:00 |
| DOI: | 10.1109/tte.2021.3050470 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3115706 |
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