Optimal deployment of public charging stations for plug-in hybrid electric vehicles

2013 ◽  
Vol 47 ◽  
pp. 87-101 ◽  
Author(s):  
Fang He ◽  
Di Wu ◽  
Yafeng Yin ◽  
Yongpei Guan
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Optimal Deployment ◽  
Hybrid Electric ◽  
Charging Stations

The Use of Plug-In Hybrid Electric Vehicles for Peak Shaving

2015 ◽  
Vol 138 (1) ◽  
Author(s):  
Charles G. Tse ◽  
Benjamin A. Maples ◽  
Frank Kreith
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Feasibility Analysis ◽  
Energy Availability ◽  
Peak Shaving ◽  
Charging Station ◽  
Sufficient Energy ◽  
Financial Investments ◽  
Hybrid Electric ◽  
Charging Stations

This article is a feasibility analysis of using the batteries in plug-in hybrid electric vehicles (PHEVs) for peak shaving. The analysis focuses on energy availability of the PHEV fleet as well as the financial savings to the utilities by analyzing different charging scenarios and circuitry. The energy availability and the financial savings are heavily dependent on the location and availability of charging stations. Three charging scenarios are analyzed: charging is possible at any time; cars can only be charged overnight; and charging can be done overnight and twice during the day at the place of work for cars used for commuting. The major findings of the study are that charging only overnight will not provide sufficient energy when needed, but both other charging mechanisms can provide effective peak shaving. The charging anytime would require funding a large number of charging station, but charging overnight and at work could be accomplished with relative minor financial investments. The savings from peak shaving could be used for incentives to offset the extra cost of batteries in plug-in electric vehicles (EVs).

The Use of Plug-In Hybrid Electric Vehicles for Peak Shaving

2014 ◽  
Author(s):  
Charles G. Tse ◽  
Benjamin A. Maples ◽  
Frank Kreith
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Feasibility Analysis ◽  
Energy Availability ◽  
Peak Shaving ◽  
Charging Station ◽  
Sufficient Energy ◽  
Financial Investments ◽  
Hybrid Electric ◽  
Charging Stations

This article is a feasibility analysis of using the batteries in Plug-in Hybrid Electric Vehicles (PHEVs) for peak shaving. The analysis focuses on energy availability of the PHEV fleet as well as the financial savings to the utilities by analyzing different charging scenarios and circuitry. The energy availability and the financial savings are heavily dependent on the location and availability of charging stations. Three charging scenarios are analyzed: charging is possible at any time; cars can only be charged overnight; charging can be done overnight and twice during the day at the place of work for cars that are used for commuting. The major findings of the study are that charging only overnight will not provide sufficient energy when needed, but both other charging mechanisms can provide effective peak shaving. The charging anytime would require funding a large number of charging station, but charging overnight and at work could be accomplished with relative minor financial investments. The savings from peak shaving could be used for incentives to offset the extra cost of batteries in plug-in electric vehicles.

scholarly journals Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Imran Rahman ◽  
Pandian M. Vasant ◽  
Balbir Singh Mahinder Singh ◽  
M. Abdullah-Al-Wadud
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Optimization Techniques ◽  
Allocation Strategy ◽  
Technical Problems ◽  
Highly Nonlinear ◽  
Battery Capacity ◽  
Smart Charging ◽  
Hybrid Electric ◽  
Charging Stations

Recent researches towards the use of green technologies to reduce pollution and higher penetration of renewable energy sources in the transportation sector have been gaining popularity. In this wake, extensive participation of plug-in hybrid electric vehicles (PHEVs) requires adequate charging allocation strategy using a combination of smart grid systems and smart charging infrastructures. Daytime charging stations will be needed for daily usage of PHEVs due to the limited all-electric range. Intelligent energy management is an important issue which has already drawn much attention of researchers. Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. In this paper, gravitational search algorithm (GSA) has been applied and compared with another member of swarm family, particle swarm optimization (PSO), considering constraints such as energy price, remaining battery capacity, and remaining charging time. Simulation results obtained for maximizing the highly nonlinear objective function evaluate the performance of both techniques in terms of best fitness.

scholarly journals DC-DC Converter Topologies for Electric Vehicles, Plug-in Hybrid Electric Vehicles and Fast Charging Stations: State of the Art and Future Trends

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1569 ◽  
Author(s):  
Sajib Chakraborty ◽  
Hai-Nam Vu ◽  
Mohammed Mahedi Hasan ◽  
Dai-Duong Tran ◽  
Mohamed El Baghdadi ◽  
...  
Keyword(s):  
Low Power ◽  
Electric Vehicles ◽  
Electromagnetic Interference ◽  
Hybrid Electric Vehicles ◽  
High Efficiency ◽  
Switching Frequency ◽  
Fast Charging ◽  
Converter Topologies ◽  
Hybrid Electric ◽  
Charging Stations

This article reviews the design and evaluation of different DC-DC converter topologies for Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs). The design and evaluation of these converter topologies are presented, analyzed and compared in terms of output power, component count, switching frequency, electromagnetic interference (EMI), losses, effectiveness, reliability and cost. This paper also evaluates the architecture, merits and demerits of converter topologies (AC-DC and DC-DC) for Fast Charging Stations (FCHARs). On the basis of this analysis, it has found that the Multidevice Interleaved DC-DC Bidirectional Converter (MDIBC) is the most suitable topology for high-power BEVs and PHEVs (> 10kW), thanks to its low input current ripples, low output voltage ripples, low electromagnetic interference, bidirectionality, high efficiency and high reliability. In contrast, for low-power electric vehicles (<10 kW), it is tough to recommend a single candidate that is the best in all possible aspects. However, the Sinusoidal Amplitude Converter, the Z-Source DC-DC converter and the boost DC-DC converter with resonant circuit are more suitable for low-power BEVs and PHEVs because of their soft switching, noise-free operation, low switching loss and high efficiency. Finally, this paper explores the opportunity of using wide band gap semiconductors (WBGSs) in DC-DC converters for BEVs, PHEVs and converters for FCHARs. Specifically, the future roadmap of research for WBGSs, modeling of emerging topologies and design techniques of the control system for BEV and PHEV powertrains are also presented in detail, which will certainly help researchers and solution engineers of automotive industries to select the suitable converter topology to achieve the growth of projected power density.

EV – Challenges In Going Electric

2018 ◽  
Author(s):  
Umanand L
Keyword(s):  
Mass Transport ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Research Activity ◽  
Considerable Research ◽  
Hybrid Electric

This article presents a frank and open opinion on the challenges that will be faced in moving towards an electric mass transport ecosystem. World over there is considerable research activity on electric vehicles and hybrid electric vehicles. There seems to be a global effort to move from an ICE driven ecosystem to electric vehicle ecosystem. There is no simple means to make this transition. This road is filled with hurdles and challenges. This paper poses and discusses these challenges and possible solutions for enabling EVs.

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