Management of quick charging of electric vehicles using power from grid and storage batteries

Paul, Topon Kumar; Aisu, Hideyuki

doi:10.1109/ievc.2012.6183259

Cited by 13 publications

(6 citation statements)

References 10 publications

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“…The inverter control system is a PI-controlled PWM generator and it is used to perform constant DC voltage. They introduced general faults and implemented a protection scheme for preventing possible faults in modelling EVSE [36].…”

Section: Evse Modelling and Possible Effectsmentioning

confidence: 99%

“…The wireless charging system can be explained by the coupled Inductive Power Transfer (IPT) system. A Danish scientist, Hans Christian Oersted in the Tokyo area transformed into EVs and approximately half of them performed fast-charging processes at the same time, it is estimated that 7.3 GW additional power supply would be required [36].…”

Section: Wireless Chargingmentioning

confidence: 99%

“…Thiringer and Saeid Haghdin studied the measurement results of the EVSE and analyzed them. They concluded that there are some harmonic problems in the city grid system that are caused by the Figure 7 -Plug-in EVSE (top) and control system of inverter modelling (bottom) images taken from [36] The first commercialized IPT system for public transportation was implemented by Wampfler AG [52]. The Wampfler system operates at 15 kHz frequency and 80 A rated current, 30 kW transmitting rated power and 4 cm air gap between the system and the electric buses.…”

Section: Wireless Chargingmentioning

confidence: 99%

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A Review of Commercial Electric Vehicle Charging Methods

Terzi

Ilhan

Kaymaz

et al. 2020

PROMET

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Electric Vehicles (EVs) are rapidly becoming the forerunners of vehicle technology. First electric vehicles were overlooked because of not having adequate battery capacity and because of low efficiency of their electric motors. Developing semiconductor and battery technologies increased the interest in the EVs. Nevertheless, current batteries still have insufficient capacity. As a result of this, vehicles must be recharged at short distances (approximately 150 km). Due to scheduled departure and arrival times EVs appear to be more suitable for city buses rather than regular automobiles. Thanks to correct charging technology and the availability of renewable energy for electric buses, the cities have less noise and CO2 emissions. The energy consumption of internal combustion engines is higher than of the electric motors. In this paper, studies on the commercial electric vehicle charging methods will be reviewed and the plug-in charging processes will be described in detail. This study strives to answer the questions of how plug-in charging process communication has performed between the EV and Electric Vehicle Supply Equipment (EVSE).

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Section: Evse Modelling and Possible Effectsmentioning

confidence: 99%

Section: Wireless Chargingmentioning

confidence: 99%

Section: Wireless Chargingmentioning

confidence: 99%

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A Review of Commercial Electric Vehicle Charging Methods

Terzi

Ilhan

Kaymaz

et al. 2020

PROMET

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“…In [7], characterized by a MINLP optimization approach, results are sensible to the correct inclusion of EV and electric grid losses in the problem, while in [8], the total cost of installation of fast charging station and loss on distribution are proposed as objective functions of the optimization model, and robustness and effectiveness characterize the proposed algorithm. The importance of ESS in peak power demand problem, is shown by authors in [9], in which they have introduced a policy involving the future power demand by the expected EVs: this method does not achieve the optimal costumers' satisfaction, but it works in a "best effort" way, guaranteeing fairness during insufficient supply energy. In [10] authors show how ESS contributes also in economic field: through a MINLP formulation which takes into account the capital costs of the transformer, distribution feeder and ESS for the FCS, authors extract the optimal size of ESS, achieving a total costs reduction over 20%.…”

Section: State Of the Artmentioning

confidence: 99%

On the control of energy storage systems for electric vehicles fast charging in service areas

Giorgio

Liberati

Germana

et al. 2016

2016 24th Mediterranean Conference on Control and Automation (MED)

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This paper presents a real time control strategy for energy storage systems integration in electric vehicles fast charging applications combined with generation from intermittent renewable energy sources. A two steps approach taking advantage of the model predictive control methodology is designed on purpose to optimally allocate the reference charging power while managing the priority among the plugged vehicles and then control the storage for efficiently sustaining the charging process. Two different use cases are considered: in the former the charging area is disconnected from the grid, so that the objective is to minimize the deviation of electric vehicles charging power from the nominal value; in the latter the focus is on the point of connection to the grid and the need of mitigating the related power flow. In both cases the fundamental requirement for feasible control system operation is to guarantee stability of the storage's state of charge over the time. Simulation results are provided and discussed in detail, showing the effectiveness of the proposed approach

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“…Furthermore, due to the additional load imposed to the network by EVs, appropriate storage units must be deployed beside the charging stations. There are several works that consider the problem of load management for EV charging and its impact on the grid [Paul and Aisu 2012] and [Guiseppe and Antonio 2012]. However, there is no previous work that addresses the coordinated impact of placement over an urban infrastructure and its solution thereof.…”

Section: Introductionmentioning

confidence: 99%

Charging and Storage Infrastructure Design for Electric Vehicles

Momtazpour

Butler

Ramakrishnan

et al. 2014

ACM Trans. Intell. Syst. Technol.

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Ushered by recent developments in various areas of science and technology, modern energy systems are going to be an inevitable part of our societies. Smart grids are one of these modern systems that have attracted many research activities in recent years. Before utilizing the next generation of smart grids, we should have a comprehensive understanding of the interdependent energy networks and processes. Nextgeneration energy systems networks cannot be effectively designed, analyzed, and controlled in isolation from the social, economic, sensing, and control contexts in which they operate. In this paper we present a novel framework to support charging and storage infrastructure design for electric vehicles. We develop coordinated clustering techniques to work with network models of urban environments to aid in placement of charging stations for an electrical vehicle deployment scenario. Furthermore, we evaluate the network before and after the deployment of charging stations, to recommend the installation of appropriate storage units to overcome the extra load imposed on the network by the charging stations. We demonstrate the multiple factors that can be simultaneously leveraged in our framework in order to achieve practical urban deployment. Our ultimate goal is to help realize sustainable energy system management in urban electrical infrastructure by modeling and analyzing networks of interactions between electric systems and urban populations.

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Management of quick charging of electric vehicles using power from grid and storage batteries

Cited by 13 publications

References 10 publications

A Review of Commercial Electric Vehicle Charging Methods

A Review of Commercial Electric Vehicle Charging Methods

On the control of energy storage systems for electric vehicles fast charging in service areas

Charging and Storage Infrastructure Design for Electric Vehicles

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