2006
DOI: 10.1016/j.jpowsour.2005.12.083
|View full text |Cite
|
Sign up to set email alerts
|

Energy utilization and efficiency analysis for hydrogen fuel cell vehicles

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2006
2006
2019
2019

Publication Types

Select...
6
3

Relationship

1
8

Authors

Journals

citations
Cited by 46 publications
(13 citation statements)
references
References 1 publication
0
12
0
Order By: Relevance
“…It means 19 kg capacity of tank can store only 1 kg liquid hydrogen, energy density is 7.2 MJ/kg (9.8 MJ/L). Furthermore, the efficiency of a fuel cell unit is about 51.8%, and the energy loss in other electric devices the final efficiency is about 41.6% (Moore et al 2006). …”
Section: Motor Powered Plans By Different Energy Sourcesmentioning
confidence: 99%
“…It means 19 kg capacity of tank can store only 1 kg liquid hydrogen, energy density is 7.2 MJ/kg (9.8 MJ/L). Furthermore, the efficiency of a fuel cell unit is about 51.8%, and the energy loss in other electric devices the final efficiency is about 41.6% (Moore et al 2006). …”
Section: Motor Powered Plans By Different Energy Sourcesmentioning
confidence: 99%
“…These spikes came from the short circuit unit (SCU) at Horizon fuel cell. The SCU gave the load to the fuel cells to keep the good condition of the fuel cell for long-term performance [4]. Fig.…”
Section: Run On Batterymentioning
confidence: 99%
“…The different drive cycle would result in different energy efficiency. Moore et al [4] showed that the car with the US06 drive cycle test produced lower energy efficiency than HIWAT, FUDS, and ECE drive cycle, which were less aggressive than US06.…”
Section: Introductionmentioning
confidence: 99%
“…CFD-based models indeed provide insight into detailed phenomena along with high level of predictability and high accuracy; however, they are also characterized by very long computational times inherent to their comprehensive modelling framework. Long computational times are a major disadvantage whenever a large number of simulation results are required to be obtained in reasonable amount of time which is typical for tasks such as: (a) rapid testing of different design options [10,11] including the ultra large scale [9]; (b) modelling of larger systems powered by fuel cells, e.g., the entire fuel cell powered vehicle [12,13]; (c) modelling transient operation of the fuel cell powered systems [14,15] and (d) development of control functionalities [15,16]. Among these, fast computation is of most crucial importance in models for which real time capability is mandatory such as in [12,14,16] or any hardware-in-the-loop model application.…”
Section: Introductionmentioning
confidence: 99%