Design and analysis of a high energy efficient multi-port dc-dc converter interface for fuel cell/battery electric vehicle-to-home (V2H) system

2022 ◽  
Vol 45 ◽  
pp. 103755
Author(s):  
Murat Mustafa Savrun ◽  
Mustafa İnci ◽  
Mehmet Büyük
2021 ◽  
Author(s):  
Ungki Lee ◽  
Sunghyun Jeon ◽  
Ikjin Lee

Abstract Shared autonomous vehicles (SAVs) encompassing autonomous driving technology and car-sharing service are expected to become an essential part of transportation system in the near future. Although many studies related to SAV system design and optimization have been conducted, most of them are focused on shared autonomous battery electric vehicle (SABEV) systems, which employ battery electric vehicles (BEVs) as SAVs. As fuel cell electric vehicles (FCEVs) emerge as alternative fuel vehicles along with BEVs, the need for research on shared autonomous fuel cell electric vehicle (SAFCEV) systems employing FCEVs as SAVs is increasing. Therefore, this study newly presents a design framework of SAFCEV system by developing an SAFCEV design model based on a proton-exchange membrane fuel cell (PEMFC) model. The test bed for SAV system design is Seoul, and optimization is conducted for SABEV and SAFCEV systems to minimize the total cost while satisfying the customer wait time constraint, and the optimization results of both systems are compared. From the results, it is verified that the SAFCEV system is feasible and the total cost of the SAFCEV system is even lower compared to the SABEV system. In addition, several observations on various operating environments of SABEV and SAFCEV systems are obtained from parametric studies.


2018 ◽  
Vol 43 (35) ◽  
pp. 16959-16970 ◽  
Author(s):  
Vicente Roda ◽  
Javier Carroquino ◽  
Luis Valiño ◽  
Antonio Lozano ◽  
Félix Barreras

2020 ◽  
Vol 260 ◽  
pp. 114254 ◽  
Author(s):  
Youngki Kim ◽  
Miriam Figueroa-Santos ◽  
Niket Prakash ◽  
Stanley Baek ◽  
Jason B. Siegel ◽  
...  

2011 ◽  
Vol 101-102 ◽  
pp. 294-297
Author(s):  
Ping Yuan Xi

With the issue of environmental pollution and energy crisis worsening day by day, the researches and applications of low-pollution and high energy-efficient electric vehicles have become the research trend in the automotive area nowadays. On the basis of analyzing the requirements of pure electric vehicles’ drive motors and power batteries, this paper makes a reasonable selection of the basic parts’ type of pure electric vehicles’ powertrain and the parameters matched. The matching parameter is proved to be reasonable by simulation.


2020 ◽  
Vol 13 (2) ◽  
pp. 168-172
Author(s):  
Ravi Kumar Poluru ◽  
M. Praveen Kumar Reddy ◽  
Syed Muzamil Basha ◽  
Rizwan Patan ◽  
Suresh Kallam

Background:Recently Wireless Sensor Network (WSN) is a composed of a full number of arbitrarily dispensed energy-constrained sensor nodes. The sensor nodes help in sensing the data and then it will transmit it to sink. The Base station will produce a significant amount of energy while accessing the sensing data and transmitting data. High energy is required to move towards base station when sensing and transmitting data. WSN possesses significant challenges like saving energy and extending network lifetime. In WSN the most research goals in routing protocols such as robustness, energy efficiency, high reliability, network lifetime, fault tolerance, deployment of nodes and latency. Most of the routing protocols are based upon clustering has been proposed using heterogeneity. For optimizing energy consumption in WSN, a vital technique referred to as clustering.Methods:To improve the lifetime of network and stability we have proposed an Enhanced Adaptive Distributed Energy-Efficient Clustering (EADEEC).Results:In simulation results describes the protocol performs better regarding network lifetime and packet delivery capacity compared to EEDEC and DEEC algorithm. Stability period and network lifetime are improved in EADEEC compare to DEEC and EDEEC.Conclusion:The EADEEC is overall Lifetime of a cluster is improved to perform the network operation: Data transfer, Node Lifetime and stability period of the cluster. EADEEC protocol evidently tells that it improved the throughput, extended the lifetime of network, longevity, and stability compared with DEEC and EDEEC.


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