Development of a Model of on-Board Pemfc Powered Locomotive with a Metal Hydride Cylinder

ABSTRACTThis paper presents a phase-zero evaluation case of installing on-off-board hybrid powered Electric Motor Vehicle (EMV) in existing and new local line and reports development of a model fuel cell powered locomotive. EMV such as electric car and locomotive are a new conceptual EMV using hybrid power between off-board substation and on-board Regenerative Fuel Cell (RFC) power system with Metal Hydride (MH) stored hydrogen generated with water electrolyzer by off-board surplus power. In this study, it is estimated a possibility to close power gap over 30 % in placing the new conceptual vehicle. The Locomotive is a 110 cm long locomotive powered by a 20 W PEMFC configured with 20 cells and supplied with about 2 g hydrogen, from a cylinder of 100 g metal hydride, and natural convection air (02). Measuring 50 cm (W), 50 cm (H), and weighting 25.9 kgf, the locomotive has a permanent magnet motor with a rated power 38 W (12 V, 3 A) and ran on railway that has a gauge of 126 mm (3'6“/8.5=4.94”), a length of 100 m. The performance of this train was acceleration of 0.5 m/s, cruising speed of 4.1 m/s at traction force of 15.8 N (1.6 kgf), average rolling friction of 5 N (460 gf).

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The Electric Car: development and future of battery, hybrid and fuel-cell cars

10.1049/pbpo038e ◽

2001 ◽

Cited By ~ 17

Author(s):

Michael H. Westbrook

Keyword(s):

Fuel Cell ◽

Electric Car

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Ru-Decorated Pt Surfaces as Model Fuel Cell Electrocatalysts for CO Eletrooxidation

ChemInform ◽

10.1002/chin.200545228 ◽

2005 ◽

Vol 36 (45) ◽

Author(s):

F. Maillard ◽

G.-Q. Lu ◽

A. Wieckowski ◽

U. Stimming

Keyword(s):

Fuel Cell ◽

Model Fuel

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The PEM Fuel Cell System for Autonomous Underwater Vehicles

Marine Technology Society Journal ◽

10.4031/002533205787442558 ◽

2005 ◽

Vol 39 (3) ◽

pp. 56-64 ◽

Cited By ~ 11

Author(s):

Satoshi Tsukioka ◽

Taro Aoki ◽

Ikuo Yamamoto ◽

Hiroshi Yoshida ◽

Tadahiro Hyakudome ◽

...

Keyword(s):

Fuel Cell ◽

Metal Hydride ◽

Autonomous Underwater Vehicle ◽

Earth Science ◽

Autonomous Underwater Vehicles ◽

Storage System ◽

Cell System ◽

Hydrogen Gas ◽

Fuel Cell System ◽

Control Electronics

An ocean-going autonomous underwater vehicle powered by a polymer electrode membrane fuel cell system was completed by The Japan Agency for Marine-Earth Science and Technology. The fuel cell system generates 4kW of electric power for the control electronics and propulsion system. Hydrogen gas is stored under low pressure in the metal hydride. Heat generated by the fuel cell is used to discharge hydrogen gas into the metal hydride. This paper presents the test results of the fuel cell, storage system and the 317km sea test.

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Fuel Cell System Model: Fuel Cell Stack

Advances in Industrial Control - Control of Fuel Cell Power Systems ◽

10.1007/978-1-4471-3792-4_3 ◽

2004 ◽

pp. 31-56 ◽

Cited By ~ 4

Author(s):

Jay T. Pukrushpan ◽

Anna G. Stefanopoulou ◽

Huei Peng

Keyword(s):

Fuel Cell ◽

Cell System ◽

System Model ◽

Fuel Cell System ◽

Fuel Cell Stack ◽

Model Fuel

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Application of State Transition Energy Management Control Algorithm in Fuel Cell

Distributed Generation & Alternative Energy Journal ◽

10.13052/dgaej2156-3306.3614 ◽

2021 ◽

Author(s):

Zheng Pan ◽

Qihong Xiao ◽

Yangliang Chen

Keyword(s):

Fuel Cell ◽

Energy Management ◽

State Transition ◽

Motor Vehicle ◽

Transition Energy ◽

Simulation Software ◽

Management Control ◽

Hydrogen Consumption ◽

Management Algorithm ◽

Battery Energy

Dynamic programming algorithms are widely used in motor vehicle fuel cells, and can help battery energy management control to perform error analysis. The paper designs the decision-making process of fuel cell charge and discharge management based on the state transition energy management algorithm, which is used to analyse the cumulative causes of errors and the corresponding results. The article uses simulation software to simulate the algorithm proposed in this paper, and finds that the algorithm is an energy management optimization decision, and the error of the hydrogen consumption obtained by the algorithm relative to the theoretical optimal hydrogen consumption is less than 0.25%.

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