Modelling a Solar Charge Station for Electric Vehicle with Storage Backup

Ali, M. Mansoor; Mohammad, S Hashmi; Rahman, Md. Minhajur

doi:10.1109/icasert.2019.8934645

Cited by 15 publications

(4 citation statements)

References 3 publications

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“…To create a capacitive coupler in a CWPT system, typically four metal plates are employed. To increase efficiency, maintain voltage levels, and lower transmission losses, the AC voltage is initially fed into the power factor adjustment circuit [4]. The voltage is then sent to the Hbridge network to generate high frequency AC [5].…”

Section: Capacitive Wireless Charging System (Cwcs)mentioning

confidence: 99%

Wire-Free Vehicle Charging Using Solar System

Saini,

Khan,

Sharma

et al. 2023

J. Phys.: Conf. Ser.

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These days everything runs on electricity, without electricity it becomes hard to spend time. Our daily use items like phones, laptops, and other items work on electricity. So electricity is our basic requirement and its connection is establishing rapidly. This is a great opportunity for us to shift to an electric vehicle as nature warns us of pollution. Also, there are different sources available for generating electricity and this electricity can be easily used to move the car. To move the car through electricity, an electricity bank i.e., batteries are installed inside the car which needs to be recharged after a fixed mile run. This recharging can be done in different manners but the need of better fast and efficient charging system has been increases. People don’t want to carry different chargers for different devices or wait for long hours at changing stations so to make charging in an easy way this paper purposed a charging system based on wire-free technology. This paper elaborates on the concept of wireless charging and improves the concept of stationary wireless electric car charging.

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Section: Capacitive Wireless Charging System (Cwcs)mentioning

confidence: 99%

Wire-Free Vehicle Charging Using Solar System

Saini,

Khan,

Sharma

et al. 2023

J. Phys.: Conf. Ser.

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“…Intelligent solar charging stations (CSs) that have a supervisory control on (EVs) have been developed, some of these stations integrated with vehicle-to-grid (V2G) technology. So they can provide more benefits for the utility grid and EV owners [3]. Different EMSs have been used for HEVs recently.…”

Section: Introductionmentioning

confidence: 99%

“…The authors presented a number of classifications for management strategies (EMS) [4,5]. In general, EMSs can be divided into three categories: rule-based, domestic optimization-based, and universal optimization-based [3]. Authors presented plug-in Hybrid Electric EMSs [6].…”

Section: Introductionmentioning

confidence: 99%

“…Charging electric vehicles causes an additional load on the power grid and, result in massive load shedding. It is necessary to recharge these EVs from an alternative energy source such as PV energy resources [3]. The authors in [9] utilized Linear Programming to solve the optimization problem, whereas in Reference [10], a Dynamic Programming (DP) was used to deal with the problem.…”

Section: Introductionmentioning

confidence: 99%

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An Energy Management Approach for Solar Charge Stations in Smart Cities

Guneser¹,

Elweddad²,

Özarpa³

2020

acperpro

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The rapid development of intelligent transportation system in smart cities offers great opportunities to improve the performance of energy management strategies (EMSs) for connected electric vehicles (EV) charging system. An electric vehicle charging station integrating Solar Photovoltaic Panel (PV), a Battery Energy Storage System (BESS) and based utility grid is designed for many scenarios. In the proposed system, the PV is the primary energy source with the battery for storing excessive energy to deliver the lowest possible electricity bill with the grid-tied to ensure power delivery| (power continuity). An efficient design of charging solar station with control strategy is developed for the optimal power management between solar, BESS, grid. By taking dynamic charging process of EVs battery, the power management flow in the station is formulated and validated using MATLAB. Machine learning methods will be applied to optimize proposed energy management system.

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