INTERACTION OF A LOW POWER HYDROGEN FUEL CELL WITH A NI-MH BATTERY

2021 ◽  
Vol 3 (1) ◽  
pp. 005-008
Author(s):  
N. YA. PROKHORENKO ◽  

The purpose of this article is to investigate a simplified simulation model of the joint operation of a hydrogen fuel cell and a nickel-metal hydride battery. A suitable mathematical model of the fuel cell was selected. A simplified simulation model is designed in the MATLAB package. The graphs of the dependences of voltage, current, power on the fuel cell and load are obtained. In addition, a graph of the degree of discharge is obtained on the battery. As a result of the study, it was determined that at low power it is possible to use the proposed model.

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 529
Author(s):  
Kyoungho Ahn ◽  
Hesham A. Rakha

This paper presents a simple hydrogen fuel cell vehicle (HFCV) energy consumption model. Simple fuel/energy consumption models have been developed and employed to estimate the energy and environmental impacts of various transportation projects for internal combustion engine vehicles (ICEVs), battery electric vehicles (BEVs), and hybrid electric vehicles (HEVs). However, there are few published results on HFCV energy models that can be simply implemented in transportation applications. The proposed HFCV energy model computes instantaneous energy consumption utilizing instantaneous vehicle speed, acceleration, and roadway grade as input variables. The mode accurately estimates energy consumption, generating errors of 0.86% and 2.17% relative to laboratory data for the fuel cell estimation and the total energy estimation, respectively. Furthermore, this work validated the proposed model against independent data and found that the new model accurately estimated the energy consumption, producing an error of 1.9% and 1.0% relative to empirical data for the fuel cell and the total energy estimation, respectively. The results demonstrate that transportation engineers, policy makers, automakers, and environmental engineers can use the proposed model to evaluate the energy consumption effects of transportation projects and connected and automated vehicle (CAV) transportation applications within microscopic traffic simulation models.


2021 ◽  
Vol 489 ◽  
pp. 229450
Author(s):  
Sahar Foorginezhad ◽  
Masoud Mohseni-Dargah ◽  
Zahra Falahati ◽  
Rouzbeh Abbassi ◽  
Amir Razmjou ◽  
...  

2021 ◽  
Vol 125 ◽  
pp. 154-162 ◽  
Author(s):  
Silvia J.R. Vargas ◽  
Nicolas Schaeffer ◽  
Jamille C. Souza ◽  
Luis H.M. da Silva ◽  
Maria C. Hespanhol

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4384
Author(s):  
Hanhee Kim ◽  
Niklas Hartmann ◽  
Maxime Zeller ◽  
Renato Luise ◽  
Tamer Soylu

This paper shows the results of an in-depth techno-economic analysis of the public transport sector in a small to midsize city and its surrounding area. Public battery-electric and hydrogen fuel cell buses are comparatively evaluated by means of a total cost of ownership (TCO) model building on historical data and a projection of market prices. Additionally, a structural analysis of the public transport system of a specific city is performed, assessing best fitting bus lines for the use of electric or hydrogen busses, which is supported by a brief acceptance evaluation of the local citizens. The TCO results for electric buses show a strong cost decrease until the year 2030, reaching 23.5% lower TCOs compared to the conventional diesel bus. The optimal electric bus charging system will be the opportunity (pantograph) charging infrastructure. However, the opportunity charging method is applicable under the assumption that several buses share the same station and there is a “hotspot” where as many as possible bus lines converge. In the case of electric buses for the year 2020, the parameter which influenced the most on the TCO was the battery cost, opposite to the year 2030 in where the bus body cost and fuel cost parameters are the ones that dominate the TCO, due to the learning rate of the batteries. For H2 buses, finding a hotspot is not crucial because they have a similar range to the diesel ones as well as a similar refueling time. H2 buses until 2030 still have 15.4% higher TCO than the diesel bus system. Considering the benefits of a hypothetical scaling-up effect of hydrogen infrastructures in the region, the hydrogen cost could drop to 5 €/kg. In this case, the overall TCO of the hydrogen solution would drop to a slightly lower TCO than the diesel solution in 2030. Therefore, hydrogen buses can be competitive in small to midsize cities, even with limited routes. For hydrogen buses, the bus body and fuel cost make up a large part of the TCO. Reducing the fuel cost will be an important aspect to reduce the total TCO of the hydrogen bus.


2021 ◽  
Vol 7 ◽  
pp. 2635-2646
Author(s):  
Nabeel Ahsan ◽  
Ans Al Rashid ◽  
Asad A. Zaidi ◽  
Ramsha Imran ◽  
Sikandar Abdul Qadir

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