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EN
In this article, the elimination of ambiguity of a joined coprime array has been examined, with a focus on such of its properties as large aperture size and complete degree of freedom (DOF). The existing methods suffer from a high degree of computation complexity due to the loss constant characteristic and high peak searching. Therefore, in this paper, a DOA estimation method for a jointed coprime array, characterized by a low degree of computational complexity, is proposed. The variance of the diagonal eigenvalues of the estimated covariance matrix is designed to enhance the accuracy of the covariance matrix of the joined coprime array. Then, the Capon beamforming methods is employed for peak searching. The simulation shows that the proposed method accomplishes accurate estimation with shorter computation times and fewer operations compared to other DOA estimation methods.
EN
The shift, towards cars (EVs) plays a role in the global effort to combat climate change by reducing dependence on fossil fuels. An important part of this shift involves creating user EV charging systems. This study looks into how a connected coil design in a wireless power transfer system can help overcome challenges in EV charging when dealing with varying loads. We examine how well the system performs under load resistances that mimic states of charge and battery capacities in EVs. By assessing the stability of output voltage and efficiency of power transfer across these loads we focus on maintaining resonance within the system. Our findings show that the LCCL to LC WPT system maintains efficiency in power transfer (50-94) % when Coupling Coefficient change (0-0.9) at load resistance 3ꭥ and stable output voltage when facing changes in load resistance (1-4.5)ꭥ. This suggests that the system is resilient against load variations, which's crucial for real world EV charging situations. This research supports the potential of WPT systems as an efficient solution to meet the evolving demands of EV infrastructure leading towards increased adoption of EVs and a sustainable future, for transportation.
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