Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging

Dynamic wireless power systems are an effective way to supply electric vehicles (EVs) with the required power while moving and to overcome the problems of low mileage and extensive charging times. This paper targets modeling and control for future dynamic wireless charging using magnetic resonance c...

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Autores principales:	Adel El-Shahat, Erhuvwu Ayisire
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	charging control electric vehicles fuzzy MPPT modeling Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/161be4be15014b809ae31e9df88cb2ef
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spelling	oai:doaj.org-article:161be4be15014b809ae31e9df88cb2ef2021-11-25T17:25:14ZNovel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging10.3390/electronics102228422079-9292https://doaj.org/article/161be4be15014b809ae31e9df88cb2ef2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2842https://doaj.org/toc/2079-9292Dynamic wireless power systems are an effective way to supply electric vehicles (EVs) with the required power while moving and to overcome the problems of low mileage and extensive charging times. This paper targets modeling and control for future dynamic wireless charging using magnetic resonance coupling because of the latter’s efficiency. We present a 3D model of transmitter and receiver coils for EV charging with magnetic resonance wireless power developed using ANSYS Maxwell. This model was incorporated into the physical design of the magnetic resonance coupling using ANSYS Simplorer in order to optimize the power. The estimated efficiency was around 92.1%. The transient analysis of the proposed circuit was investigated. A closed-loop three-level cascaded PI controller- was utilized for wireless charging of an EV battery. The controller was designed to eliminate the voltage variation resulting from the variation in the space existing between coils. A single-level PI controller was used to benchmark the proposed system’s performance. Furthermore, solar-powered wireless power transfer with a maximum power point tracker was used to simulate the wireless charging of an electric vehicle. The simulation results indicated that the EV battery could be charged with a regulated power of 12 V and 5 A through wireless power transfer. Fuzzy logic and neuro-fuzzy controllers were employed for more robustness in the performance of the output. The neuro-fuzzy controller showed the best performance in comparison with the other designs. All the proposed systems were checked and validated using the OPAL Real-Time simulator. The stability analysis of the DC–DC converter inside the closed-loop system was investigated.Adel El-ShahatErhuvwu AyisireMDPI AGarticlechargingcontrolelectric vehiclesfuzzyMPPTmodelingElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2842, p 2842 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	charging control electric vehicles fuzzy MPPT modeling Electronics TK7800-8360
spellingShingle	charging control electric vehicles fuzzy MPPT modeling Electronics TK7800-8360 Adel El-Shahat Erhuvwu Ayisire Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging
description	Dynamic wireless power systems are an effective way to supply electric vehicles (EVs) with the required power while moving and to overcome the problems of low mileage and extensive charging times. This paper targets modeling and control for future dynamic wireless charging using magnetic resonance coupling because of the latter’s efficiency. We present a 3D model of transmitter and receiver coils for EV charging with magnetic resonance wireless power developed using ANSYS Maxwell. This model was incorporated into the physical design of the magnetic resonance coupling using ANSYS Simplorer in order to optimize the power. The estimated efficiency was around 92.1%. The transient analysis of the proposed circuit was investigated. A closed-loop three-level cascaded PI controller- was utilized for wireless charging of an EV battery. The controller was designed to eliminate the voltage variation resulting from the variation in the space existing between coils. A single-level PI controller was used to benchmark the proposed system’s performance. Furthermore, solar-powered wireless power transfer with a maximum power point tracker was used to simulate the wireless charging of an electric vehicle. The simulation results indicated that the EV battery could be charged with a regulated power of 12 V and 5 A through wireless power transfer. Fuzzy logic and neuro-fuzzy controllers were employed for more robustness in the performance of the output. The neuro-fuzzy controller showed the best performance in comparison with the other designs. All the proposed systems were checked and validated using the OPAL Real-Time simulator. The stability analysis of the DC–DC converter inside the closed-loop system was investigated.
format	article
author	Adel El-Shahat Erhuvwu Ayisire
author_facet	Adel El-Shahat Erhuvwu Ayisire
author_sort	Adel El-Shahat
title	Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging
title_short	Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging
title_full	Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging
title_fullStr	Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging
title_full_unstemmed	Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging
title_sort	novel electrical modeling, design and comparative control techniques for wireless electric vehicle battery charging
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/161be4be15014b809ae31e9df88cb2ef
work_keys_str_mv	AT adelelshahat novelelectricalmodelingdesignandcomparativecontroltechniquesforwirelesselectricvehiclebatterycharging AT erhuvwuayisire novelelectricalmodelingdesignandcomparativecontroltechniquesforwirelesselectricvehiclebatterycharging
_version_	1718412332729630720

Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging

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