Energy Transferring Technology for Electric Vehicle Charging Station Considering Renewable Resources

Karmaker, Ashish Kumar; Islam, S M Rezwanul

doi:10.1109/acmi53878.2021.9528244

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…53 To maintain life span of batteries, the DC to DC power-converter must run with a steady-state current from the side of the battery. 54 A buck-boost bidirectional converter is a good solution for this task.…”

Section: Design Of Power Electronics Convertersmentioning

confidence: 99%

“…The system has fault tolerance since each battery‐pack contains its own DC‐to‐DC converter 53 . To maintain life span of batteries, the DC to DC power‐converter must run with a steady‐state current from the side of the battery 54 . A buck‐boost bidirectional converter is a good solution for this task.…”

Section: Configuration Of Power‐electronic Converters For Ev‐fcsmentioning

confidence: 99%

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Power electronics converters for an electric vehicle fast charging station based energy storage system and renewable energy sources: Hybrid approach

Gopal,

Jawahar,

Athmanathan

et al. 2023

Optim Control Appl Methods

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A hybrid method is proposed for electric‐vehicle (EV) fast charging station (FCS)‐based power electronics converters with energy‐storage‐systems (ESS) and renewable‐energy‐sources (RESs). The proposed approach is the combination of the fire hawk optimizer (FHO) and gradient boost decision tree (GBDT) algorithms; hence called as FHO‐GBDT approach. The key objective of the FHO‐GBDT approach is to lessen the peak power demand on the grid. The proposed method is incorporated into EV‐FCS with the capability of a mixture of RESs and energy‐storage‐systems. The capacities of energy‐storage aid in improving power‐demand by lessening the demand for peak power. The structure of the energy storage system minimizes the net cost of the DC micro‐grid (MG). The ESS is mostly composed of batteries, which are reused by EVs. The proposed approach and the ESS enable a decrease in obtaining the greatest amount of power possible from the power‐grid (PG). By then, the performance of the proposed approach is simulated in MATLAB, and it is compared to various existing methods. The simulation result shows that the proposed method offers more power than the existing methods.

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Section: Design Of Power Electronics Convertersmentioning

confidence: 99%

Section: Configuration Of Power‐electronic Converters For Ev‐fcsmentioning

confidence: 99%

Power electronics converters for an electric vehicle fast charging station based energy storage system and renewable energy sources: Hybrid approach

Gopal,

Jawahar,

Athmanathan

et al. 2023

Optim Control Appl Methods

View full text Add to dashboard Cite

show abstract

“…Therefore, there have been many research publications that come with various approaches to utilize the full benefit of EVs while mitigating the negative effects. Methods were introduced for increasing the potential of EVs as a resource [11][12][13], integrating with other systems such as renewable energy systems [14] or even gas storage systems [15]. The preparation to cope with high EV penetration in the future was suggested, such as optimization of allocation and size of charging stations [16][17][18], charging demand analysis [19,20], and charging management for reducing peak demand [21,22].…”

Section: Literature Reviewmentioning

confidence: 99%

Practical Grid-Based Spatial Estimation of Number of Electric Vehicles and Public Chargers for Country-Level Planning with Utilization of GIS Data

Prakobkaew

Sirisumrannukul

2022

Energies

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This research proposes an approach to estimate the number of different types of electric vehicles for a vast area or an entire country, which can be divided into a large number of small areas such as a subdistrict scale. The estimation methodology extensively utilizes the vehicle registration data in conjunction with Thailand’s so-called EV30@30 campaign and GIS-based road infrastructure data. To facilitate the analysis, square grids are built to form cells representing the number of electric vehicles in any specific area of interest. This estimated number of electric vehicles is further analyzed to determine the energy consumption, calculate the recommended number of public chargers, and visualize an increase in the substation loads from those charging stations. The effectiveness of the proposed methods is demonstrated using the whole area of Thailand, consisting of five regions with a total area of 513,120 km2. The results show that the trucks contribute the most energy consumption while taxis rely on a lot of public chargers. The total energy consumption is about 79.4 GWh per day. A total of 12,565 public fast chargers are needed across the country to properly support daily travel, around half of them being located in the metropolitan area.

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“…The EV when connected directly to the grid there is a considerable impact on the distribution system it might accentuate the loss of transformers present on the distribution side, may create many deviations in the voltages, and higher demand along with some harmonic distortions. When utilizing the grid additional investments are to be made to reduce the effect by changing the equipment which carries the grid power 20‐22 . Have a great impact on the reliability of the system.…”

Section: Introductionmentioning

confidence: 99%

“…When utilizing the grid additional investments are to be made to reduce the effect by changing the equipment which carries the grid power. [20][21][22] Have a great impact on the reliability of the system. Thereby this paper has limited the primary sources only to renewables.…”

Section: Introductionmentioning

confidence: 99%

Design of an efficient energy management system for renewables based wireless electric vehicle charging station

2023

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The radical decline in climatic conditions coerces the world to take steps progressive toward implementing green energy technologies in all facets. The electric vehicle is one such huge leap toward providing a pollution‐free environment to the future generation, but the charging techniques in most cases utilize the power that is obtained using thermal power stations, and so on. This concludes it to be not completely green energy, therefore in this paper, considered two far‐reaching sources viz. photovoltaic and wind energy storage systems. The sources are also supported with the presence of an additional storage unit of battery energy storage system (BESS) and the overall system is managed by energy management system (EMS) that is designed using a simple state flow algorithm instead of complex machine learning methods. The electric vehicle (EV) is charged using wireless power transfer technology. The model is built using MATLAB—Simulink software and the simulation results are validated against the physical calculation carried out over the equivalent circuit model reduction method. The values were taken from the TATA Nexon EV for consideration and the output values are 400 V and 15 A to be provided for the charging of the EV at the receiving end of the wireless charging.

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Energy Transferring Technology for Electric Vehicle Charging Station Considering Renewable Resources

Cited by 6 publications

References 10 publications

Power electronics converters for an electric vehicle fast charging station based energy storage system and renewable energy sources: Hybrid approach

Power electronics converters for an electric vehicle fast charging station based energy storage system and renewable energy sources: Hybrid approach

Practical Grid-Based Spatial Estimation of Number of Electric Vehicles and Public Chargers for Country-Level Planning with Utilization of GIS Data

Design of an efficient energy management system for renewables based wireless electric vehicle charging station

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