Investigation of MI between circular spiral coils with misalignments for EV battery charging

Nayak, P. Srinivasa Rao; Kishan, Dharavath; Annaiah, Pabbathi

doi:10.1049/iet-smt.2017.0421

Cited by 14 publications

(2 citation statements)

References 11 publications

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“…These systems articulate rules that guide decision-making processes. Each rule comprises an IF part, known as the antecedent, and a THEN part, referred to as the consequent [12]. When the condi-tions specified in the antecedent are satisfied, the conclusions outlined in the consequent are applied.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Simulation and Implementation of PI, Fuzzy and ANFIS Controller for PV and WIND Based EV Charging Station

Bukya,

Mohan,

Sharanya

2024

Preprint

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The study utilizes a fuzzy logic-controller, as referenced in the selection of a FLC is based on its remarkable capacity to handle systems that exhibit nonlinearities and uncertainties. This capability arises from its use of operator experiences, which enhances the system with an additional layer of intelligence. FLC's primary benefit is from its autonomy from a specific mathematical model of the system, making it more resilient in comparison to traditional controllers. The unique strength of FLC is its capacity to express linguistic rules based on fuzzy sets and fuzzy algorithms. This characteristic allows it to handle the imprecision and uncertainty inherent in SPV systems, which conventional controllers may struggle to accommodate. Fuzzy logic operates on the principle of linguistic variables and rule-based reasoning, making it well-suited for systems with complex and non-linear behavior, such as SPV modules. The preceding sections have highlighted the intricate non-linear attributes found in SPV modules, which pose challenges for standard methods used in MPP Tracking (MPPT) to identify and extract the MPP. AN techniques, such as FL-based MPPT, offer a highly promising alternative. It utilizes human-like reasoning, integrating qualitative information to make judgments without requiring a precise mathematical description of the system. The use of FLC in MPPT for SPV modules reflects a strategic approach to address the challenges posed by the non-linear nature of these modules. By capitalizing on the inherent adaptability and intelligence of fuzzy logic, this technique enhances the robustness and efficiency of the SPV system, showcasing the broader applicability and advantages of AI in optimizing renewable energy systems

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Section: Fuzzy Logicmentioning

confidence: 99%

Simulation and Implementation of PI, Fuzzy and ANFIS Controller for PV and WIND Based EV Charging Station

Bukya,

Mohan,

Sharanya

2024

Preprint

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“…The selection of coil structures, such as square, circular, rectangular, DD, and DQ shapes, will depend on the specific application requirements [8][9][10][11][12]. The configuration of the coil and any deviations from perfect alignment have a substantial impact on the mutual inductance of the coupled-coils.…”

Section: Introductionmentioning

confidence: 99%

Development of Wireless Charging System Using Square-Circular Coupled Coils with Different Misalignments

Bukya

2024

JEEE

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Now a days, inductive power transfer (IPT) has gained a lot of attention from researchers as it has ease of use and realiability for electric vehicle (EV) battery charging systems. This paper examines the increasing attention from researchers towards inductive power transfer (IPT) as a means of charging electric vehicle (EV) batteries. This interest originates from the user-friendly characteristics and notable reliability associated with IPT. The evaluation of mutual inductance (MI) holds importance within the domain of Inductive Power Transfer (IPT) systems, as it serves a critical function in enabling effective power transfer. Therefore, it is essential to perform a comprehensive analysis of the mutual inductance between the two coils that are connected through inductive coupling. This study provides an examination of mutual inductance (MI) and efficiency within the context of interoperability conditions of interconnected coils. The transmitter coil is represented as a square structure, denoted as TxS, whereas the receiving coil is represented as a circular structure, denoted as RxC. Furthermore, the application of ferrite cores and steel chassis inclosures, in combination with coils, is utilised for the objective of electric vehicle (EV) battery charging. The magnetic induction (MI) analysis is performed by the utilisation of finite element method (FEM) simulation. The finite element method (FEM) simulation outcomes of the interconnected coils with misalignments, encompassing both non-core and steel chassis configurations, are juxtaposed with the corresponding empirical observations.

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Development and analysis of three‐coil wireless charging system for electric vehicles

Kamalapathi

P.Srinivasa

Tyagi

2021

Circuit Theory & Apps

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Summary Wireless charger has become a potential solution for charging electric vehicles (EVs) due to its intrinsic convenience and further scope of countering range anxiety issue. However, ground clearance of the EVs varies with the vehicle type, manufacturer, and so on, which reduces the power transfer efficiency (PTE) and power delivered to load (PDL) by the wireless charger. To overcome these limitations, this paper focused to revamp the design of a three‐coil wireless charging system through optimized size and position of intermediate coil (InC). Further, the system is tested for different loads at different input voltages, misalignment conditions, and distances for 100‐kHz frequency and compared with a two‐coil system under the same conditions. Angular misalignment of InC near the transmitter coil (TxC) (50‐mm gap) showed increased efficiency compared to other misalignment conditions. Three‐coil system results at different distances of InC from TxC showed that the maximum efficiency region shifted to different loads. Maximum efficiency for designed three‐coil was achieved when the InC was placed in the center between the TxC and RxC. Maximum efficiency for power transfer distance (D) of 150 and 200 mm obtained are 76% and 70% for 25Ω and 35Ω.

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Investigation of MI between circular spiral coils with misalignments for EV battery charging

Cited by 14 publications

References 11 publications

Simulation and Implementation of PI, Fuzzy and ANFIS Controller for PV and WIND Based EV Charging Station

Simulation and Implementation of PI, Fuzzy and ANFIS Controller for PV and WIND Based EV Charging Station

Development of Wireless Charging System Using Square-Circular Coupled Coils with Different Misalignments

Development and analysis of three‐coil wireless charging system for electric vehicles

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