scholarly journals A Novel Range-Extended Strategy for Fuel Cell/Battery Electric Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jenn-Jiang Hwang ◽  
Jia-Sheng Hu ◽  
Chih-Hong Lin
Keyword(s):  
Fuel Cell ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Diesel Generator ◽  
Control Approach ◽  
Battery Electric Vehicles ◽  
Switch Control ◽  
Driving Model ◽  
Range Anxiety ◽  
Charging Strategy

The range-extended electric vehicle is proposed to improve the range anxiety drivers have of electric vehicles. Conventionally, a gasoline/diesel generator increases the range of an electric vehicle. Due to the zero-CO2emission stipulations, utilizing fuel cells as generators raises concerns in society. This paper presents a novel charging strategy for fuel cell/battery electric vehicles. In comparison to the conventional switch control, a fuzzy control approach is employed to enhance the battery’s state of charge (SOC). This approach improves the quick loss problem of the system’s SOC and thus can achieve an extended driving range. Smooth steering experience and range extension are the main indexes for development of fuzzy rules, which are mainly based on the energy management in the urban driving model. Evaluation of the entire control system is performed by simulation, which demonstrates its effectiveness and feasibility.

Shared Autonomous Vehicle System Design for Battery Electric Vehicle (BEV) and Fuel Cell Electric Vehicle (FCEV)

2021 ◽  
Author(s):  
Ungki Lee ◽  
Sunghyun Jeon ◽  
Ikjin Lee
Keyword(s):  
Fuel Cell ◽  
System Design ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Proton Exchange ◽  
Battery Electric Vehicle ◽  
Test Bed ◽  
Alternative Fuel Vehicles ◽  
Total Cost ◽  
Fuel Cell Electric Vehicle

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.

scholarly journals Experimental Electric Vehicle eŠus Gen2

2016 ◽  
Vol 14 (2) ◽  
pp. 7-12
Author(s):  
Josef Břoušek ◽  
Martin Bukvic ◽  
Pavel Jandura
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Battery Electric Vehicles ◽  
Current Trends ◽  
Design Solutions ◽  
Electrical Components ◽  
Vehicle Powertrain

Abstract In the introduction to the article, the conception and development of an experimental electric vehicle is described. It is followed by a description of the used mechanical and electrical components in combination with the design solutions of sub-units, such as the vehicle powertrain and traction battery. The choice of components and design solutions is evaluated here with regard to the current trends in the development of battery electric vehicles.

scholarly journals Joint Optimal Policy for Subsidy on Electric Vehicles and Infrastructure Construction in Highway Network

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2479 ◽  
Author(s):  
Yue Wang ◽  
Zhong Liu ◽  
Jianmai Shi ◽  
Guohua Wu ◽  
Rui Wang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Optimal Policy ◽  
Practical Case ◽  
Battery Electric Vehicle ◽  
Battery Electric Vehicles ◽  
Endurance Range ◽  
Highway Network ◽  
Charging Stations ◽  
The Impact

The promotion of the battery electric vehicle has become a worldwide problem for governments due to its short endurance range and slow charging rate. Besides an appropriate network of charging facilities, a subsidy has proved to be an effective way to increase the market share of battery electric vehicles. In this paper, we investigate the joint optimal policy for a subsidy on electric vehicles and infrastructure construction in a highway network, where the impact of siting and sizing of fast charging stations and the impact of subsidy on the potential electric vehicle flows is considered. A new specified local search (LS)-based algorithm is developed to maximize the overall number of available battery electric vehicles in the network, which can get provide better solutions in most situations when compared with existed algorithms. Moreover, we firstly combined the existing algorithms to establish a multi-stage optimization method, which can obtain better solutions than all existed algorithms. A practical case from the highway network in Hunan, China, is studied to analyze the factors that impact the choice of subsidy and the deployment of charging stations. The results prove that the joint policy for subsidy and infrastructure construction can be effectively improved with the optimization model and the algorithms we developed. The managerial analysis indicates that the improvement on the capacity of charging facility can increase the proportion of construction fees in the total budget, while the improvement in the endurance range of battery electric vehicles is more efficient in expanding battery electric vehicle adoption in the highway network. A more detailed formulation of the battery electric vehicle flow demand and equilibrium situation will be studied in the future.

Efficient braking energy recovery using bidirectional step-up converter in fuel cell and battery electric vehicles

2015 ◽  
Vol 4 (2) ◽  
pp. 89
Author(s):  
Serkan Dusmez ◽  
Bulent Vural ◽  
Mehmet Uzunoglu ◽  
Ali Rifat Boynuegri ◽  
Zhihao Li
Keyword(s):  
Fuel Cell ◽  
Electric Vehicles ◽  
Energy Recovery ◽  
Battery Electric Vehicles ◽  
Braking Energy Recovery

scholarly journals Exploring Factors that Influence Individuals’ Choice Between Internal Combustion Engine Cars and Electric Vehicles

2020 ◽  
Vol 1 ◽  
pp. 1-23
Author(s):  
Dominik Bucher ◽  
Henry Martin ◽  
Jannik Hamper ◽  
Atefeh Jaleh ◽  
Henrik Becker ◽  
...  
Keyword(s):  
Internal Combustion Engine ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Choice Model ◽  
Combustion Engine ◽  
Renewable Energy Sources ◽  
Internal Combustion ◽  
Transport Sector ◽  
Wide Range ◽  
Range Anxiety

Abstract. The adoption of electric vehicles has the potential to help decarbonizing the transport sector if they are powered by renewable energy sources. Limitations commonly associated with e-cars are their comparatively short ranges and long recharging cycles, leading to anxiety when having to travel long distances. Other factors such as temperature, destination or weekday may influence people in choosing an e-car for a certain trip. Using a unique dataset of 129 people who own both an electric vehicle (EV) as well as one powered by an internal combustion engine (ICE), we analyze tracking data over a year in order to have an empirically verified choice model. Based on a wide range of predictors, this model tells us for an individual journey if the person would rather choose the EV or the ICE car. Our findings show that there are only weak relations between the predictor and target variables, indicating that for many people the switch to an e-car would not affect their lifestyle and the related range anxiety diminishes when actually owning an electric vehicle. In addition, we find that choice behavior does not generalize well over different users.

Hydrogen Storage for Fuel Cell Electric Vehicles: Expert Elicitation and a Levelized Cost of Driving Model

2020 ◽  
Vol 55 (1) ◽  
pp. 553-562
Author(s):  
Michael M. Whiston ◽  
Inês M. Lima Azevedo ◽  
Shawn Litster ◽  
Constantine Samaras ◽  
Kate S. Whitefoot ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Hydrogen Storage ◽  
Electric Vehicles ◽  
Expert Elicitation ◽  
Levelized Cost ◽  
Fuel Cell Electric Vehicles ◽  
Driving Model
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