THE DEVELOPMENT OF MUTUAL INDUCTANCE COMPUTATION TOOL FOR WIRELESS POWER TRANSFER
Journal Title: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji - Year 2019, Vol 7, Issue 1
Abstract
Wireless power transmission systems, which aim to eliminate cable complexity and the difference between the connection terminals of devices, are now widely used in many areas such as mobile phone, toothbrush, shaver and electric vehicles. Studies show that the amount of power transferred and the system efficiency are inversely proportional to the distance between the transceiver coils. Therefore, while the wireless power transmission system is designed, it is necessary to determine the optimum distance between the transceiver coils in order for the system to operate at high efficiency. Although many software systems using finite element analysis can be used to determine the appropriate value of the distance between the transceiver, these softwares has a complex structure that requires expertise. In this study, a mutual inductance calculation tool low-cost, simple-to-use is introduced. Considering that the mutual inductance value directly affects the efficiency of the fixed frequency inductive wireless power transmission systems, a tool has been developed in which the relationship between the distance of transceiver and the efficiency is analyzed. The developed calculation tool is a unique application that can be used to calculate the mutual inductance and self-inductance values of the two identical coils with air-core for the different distance and alignment values. In addition, thanks to the visual interface designed, the position of the coils can be changed in the 3-dimensional coordinate system and the curves indicating the change of the mutual inductance value versus the transmission distance can be generated.
Authors and Affiliations
Orhan KAPLAN
Keywords
Related Articles
- EP ID EP491289
- DOI 10.29109/gujsc.475869
- Views 108
- Downloads 0
A Survey of Hyper-parameter Optimization Methods in Convolutional Neural Networks
Convolutional neural networks (CNN) are special types of multi-layer artificial neural networks in which convolution method is used instead of matrix multiplication in at least one of its layers. Although satisfactory r...
The Investigation of viscosity values of Aluminum Powder Reinforced Polypropylene.
In this study, aluminum (Al) powder reinforced polypropylene based composites were produced and viscosity changes were investigated for the determination of flow properties of composites. Experiments have been carried ou...
A Stochastic Energy Storage Capacity Sizing in Smart Grid
Electric power sector around the world is facing challenges with rapidly increasing penetration of variable renewable energy as well as environmental and economic pressure to lower the carbon footprint of electricity pro...
Multiobjective Knapsack Problem with Equity Concerns
In this paper, a multi-objective mathematical modeling approach has been developed for resource distribution problem which has equity concerns. We assume that the preference model of the decision maker satisfies properti...
Controlled Drug Release from Implant Surfaces Against Hospital Infections
Hospital infections are one of the most important factors that affect the success of implant materials. Patients may have strong pain, integration between newly formed tissue and implant material may weaken, revision sur...