Well-to-wheels total energy and GHG emissions of HCNG heavy-duty vehicles in China: Case of EEV qualified EURO 5 emissions scenario

2020 ◽  
Vol 45 (15) ◽  
pp. 8002-8014 ◽  
Author(s):  
Pralhad Gupta ◽  
Dehui Tong ◽  
Jingshan Wang ◽  
Weilin Zhuge ◽  
Changfeng Yan ◽  
...  
Author(s):  
Shahbaz Tahir ◽  
Muzafar Hussain

Abstract This paper focuses on FuelCell-based electromobility (Commercial and Heavy-Duty Vehicles) to judge its ability to reduce GHG (Greenhouse Gas) emissions in the Transport sector as to fulfill Paris Agreement demands to struggle against Global warming. Current LCA studies and literature show that BEVs (Battery Powered Vehicles) offer lesser emissions and better driving experience to users compared to FCEVs (Fuel Cell Vehicles) with existing German’s energy mix, but in the longer run transformation is needed in transportation sector and infrastructure to diminish emissions arising from this sector. Since most of the developed nations are looking beyond 2030 with a vision of renewables integration for Power and Energy so, LCA results proved that: In upcoming decades, FCEVs offer lesser or zero-emissions with same driving experience as provided by BEVs. H2 (Hydrogen) here plays a significant role because its production is very energy-intensive; hence, future Fuel Cell mobility is only beneficial if H2 supply is ensured by renewables. From the historical point of view, Europe always acted as a leader among all continents to fight against climate change, and Germany is the prime economy in Europe and a foremost contributor to GHG emissions. Therefore, it has been chosen for our LCA study.


2015 ◽  
Author(s):  
Hao Cai ◽  
Andrew Burnham ◽  
Michael Wang ◽  
Wen Hang ◽  
Anant Vyas

Author(s):  
Mehmet Emin Mumcuoglu ◽  
Gokhan Alcan ◽  
Mustafa Unel ◽  
Onur Cicek ◽  
Mehmet Mutluergil ◽  
...  

2020 ◽  
Vol 53 (2) ◽  
pp. 13850-13854
Author(s):  
P. Polverino ◽  
I. Arsie ◽  
C. Pianese

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1036
Author(s):  
Yunxia Li ◽  
Lei Li

A countershaft brake is used as a transmission brake (TB) to realize synchronous shifting by reducing the automated mechanical transmission (AMT) input shaft’s speed rapidly. This process is performed to reduce shifting time and improve shifting quality for heavy-duty vehicles equipped with AMT without synchronizer. To improve controlled synchronous shifting, the AMT input shaft’s equivalent resistance torque and the TB’s characteristic parameters are studied. An AMT dynamic model under neutral gear position is analyzed during the synchronous control interval. A dynamic model of the countershaft brake is discussed, and its control flow is given. The parameter identification method of the AMT input shaft’s equivalent resistance torque is given on the basis of the least squares algorithm. The parameter identification of the TB’s characteristic parameters is proposed on the basis of the recursive least squares method (RLSM). Experimental results show that the recursive estimations of the TB’s characteristic parameters under different duty cycles of the TB solenoid valve, including brake torque estimation, estimation accuracy, and braking intensity estimation, can be effectively estimated. The research provides some reliable evidence to further study the synchronous shifting control schedule for heavy-duty vehicles with AMT.


2021 ◽  
Vol 191 ◽  
pp. 116891
Author(s):  
Stijn Broekaert ◽  
Theodoros Grigoratos ◽  
Dimitrios Savvidis ◽  
Georgios Fontaras

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 823
Author(s):  
Mehdi Jahangir Samet ◽  
Heikki Liimatainen ◽  
Oscar Patrick René van Vliet ◽  
Markus Pöllänen

Medium and heavy-duty battery electric trucks (BETs) may play a key role in mitigating greenhouse gas (GHG) emissions from road freight transport. However, technological challenges such as limited range and cargo carrying capacity as well as the required charging time need to be efficiently addressed before the large-scale adoption of BETs. In this study, we apply a geospatial data analysis approach by using a battery electric vehicle potential (BEVPO) model with the datasets of road freight transport surveys for analyzing the potential of large-scale BET adoption in Finland and Switzerland for trucks with gross vehicle weight (GVW) of over 3.5 t. Our results show that trucks with payload capacities up to 30 t have the most potential for electrification by relying on the currently available battery and plug-in charging technology, with 93% (55% tkm) and 89% (84% tkm) trip coverage in Finland and Switzerland, respectively. Electric road systems (ERSs) would be essential for covering 51% trips (41% tkm) of heavy-duty trucks heavier than 30 t in Finland. Furthermore, range-extender technology could improve the trip electrification potential by 3–10 percentage points (4–12 percentage points of tkm).


2009 ◽  
Vol 43 (10) ◽  
pp. 3905-3912 ◽  
Author(s):  
Subhasis Biswas ◽  
Vishal Verma ◽  
James J. Schauer ◽  
Flemming R. Cassee ◽  
Arthur K. Cho ◽  
...  

1993 ◽  
Author(s):  
Nils-Olof Nylund ◽  
Matti Kytö

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