Smart electric vehicle charging infrastructure overview

Chynoweth, Joshua; Chung, Ching-Yen; Qiu, Charlie; Chu, Pao-Hsien; Gadh, Rajit

doi:10.1109/isgt.2014.6816440

Cited by 33 publications

(20 citation statements)

References 8 publications

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“…The charging stations form an essential part of the EV reliability scenario in addition to energy utilization. With respect to the present EV market, the major shortcoming is that there are not sufficient charging stations to cater to the need [18][19][20]. This is further aggravated by the fact that the locations of these charging stations are not uniform.…”

Section: Load Forecastingmentioning

confidence: 93%

“…However, those concepts are not included in the dynamic charge scheduling management facilities based on the vehicle location and SOC [14][15][16][17]. In order to achieve this, the vehicle and charging station communicate with each other for the reservation of slots according to the availability and the cost functions [20]. The progress in EVs in the near future is expected to be high and must be supported with the help of available and future communication systems [23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Forecasting of EV Charging Station Scheduling for Smart Energy Systems

Bharatiraja¹,

Padmanaban²,

Siano³

et al. 2017

Preprint

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Abstract:The enormous growth in the penetration of electric vehicles (EVs), has laid the path to advancements in the charging infrastructure. Connectivity between charging stations is an essential prerequisite for future EV adoption to alleviate users' "range anxiety". The existing charging stations fail to adopt power provision allocation and scheduling management. To improve the existing charging infrastructure data based on real-time information and availability of reserves at charging stations could be uploaded to the users to help them locate the nearest charging station for an EV. This research article focuses on an a interactive user application developed through SQL and PHP platform to allocate the charging slots based on estimated battery parameters, which uses data communication with charging stations to receive the slot availability information. The proposed server-based real-time forecast charging infrastructure avoids waiting times and its scheduling management efficiently prevents the EV from halting on road due to battery drain out. The proposed model is implemented using a low-cost microcontroller and the system etiquette tested.

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Section: Load Forecastingmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Real-Time Forecasting of EV Charging Station Scheduling for Smart Energy Systems

Bharatiraja¹,

Padmanaban²,

Siano³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…The availability of fast chargers is sometimes pointed out as means for reducing range anxiety for people driving low range BEVs, but range anxiety is a complex phenomenon that can be cured in many ways 11 . Studies from Japan show that the presence of chargers make the EV drivers more prone to drive in areas where public (fast) charging is available since the availability reduces the range anxiety 12 . Range anxiety is a complex phenomenon and it can increase as well as decrease with experience, and it can depend on personal traits, as well as be affected by the situation in and outside the EV [3].…”

Section: Introductionmentioning

confidence: 99%

“…The project was initiated by Viktoria Swedish ICT, a nonprofit research institute, and was running between the years 2009 -2013 13 together with partners from car industry (Volvo Car Corporation), telecom sector (Ericsson) and utility industry (Göteborg Energi). The starting point of the ELVIIS work was to lowering EV barriers by make it simpler for the user to charge and pay for the electricity and at the same time give the energy companies a potential to influence the recharging of EVs, to avoid an unnecessary 12 http://emc-mec.ca/phev/Presentations_en/S12/PHEV09-S12-3_TakafumiAnegawa.pdf 13 The concept was presented the first time for the public in February 2012.…”

Section: Introductionmentioning

confidence: 99%

Lightweight infrastructure for electric vehicle charging

Pettersson

2015

WEVJ

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Electric vehicles need a charging infrastructure. In this paper, it will be argued that Sweden already has a charging infrastructure that potentially could provide all cars with electricity if they were electrified. The charging infrastructure consists of existing motor heaters sockets and outlets near e.g. villas and holiday homes which directly or for low cost can be rebuild to provide electric vehicles with energy. Building a lightweight infrastructure for electric vehicle charging consisting of simple sockets is roughly hundred times cheaper than building fast chargers or a charging infrastructure with Type 2 plug with charging modes Mode 2 or Mode 3. Therefore, it is wise to build a lightweight charging infrastructure for electric vehicle charging and use the connectivity of the vehicle to e.g. enable smart charging and other desirable services/applications. Parts of the conclusions and results in this paper have been established in a Swedish project denoted ELVIIS consisting of partners from research (Viktoria Swedish ICT), car industry (Volvo Car Cooperation), telecom sector (Ericsson) and utility industry (Göteborg Energi).

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“…Range anxiety is the fear of being left on the road with an empty battery where there is no charging station [6], [7] or lack of any CI in which the EVO has registered. Range anxiety can be considered as another impact on market acceptance of EVs [7], [8]. Therefore, availability of public CI is an important factor in penetration of EVs [1], [5], [6], [9].…”

Section: Introductionmentioning

confidence: 99%

Reducing Range Anxiety by Unifying Networks of Charging Stations

Salah

Kama

2016

MATEC Web Conf.

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Abstract. Availability of charging infrastructure is an important factor in penetration of electric vehicles into daily transportation system. Several factors in electric vehicle industry have caused range anxiety including insufficient charging stations, limited range of electric vehicles, long charging time, inaccurate estimation of available range, and energy consumption of auxiliary in-vehicle devices. However less attention has been paid to universality in charging station networks. This paper reviews the solutions to range anxiety. With regards to availability of charging station as one of the solutions, accessibility of charging stations by electric vehicle owners is also represented as another cause of range anxiety and a possible solution is provided.

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Smart electric vehicle charging infrastructure overview

Cited by 33 publications

References 8 publications

Real-Time Forecasting of EV Charging Station Scheduling for Smart Energy Systems

Real-Time Forecasting of EV Charging Station Scheduling for Smart Energy Systems

Lightweight infrastructure for electric vehicle charging

Reducing Range Anxiety by Unifying Networks of Charging Stations

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