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Misalignment controller in wireless battery charger for electric vehicle based on MPPT method and metaheuristic algorithm

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Abstract

This paper focuses on applying a wireless power transfer WPT technology in an electric vehicle battery charger. The wireless charger system is based on the principle of resonance inductive coupling power through a coreless transformer. The WPT system is considered as a multi parameter and multi constrained nonlinear system. The main contribution in this paper is the use of PSO and GA metaheuristic algorithms in the optimization of a transformer design regarding the impact of a lateral misalignment and the separation distance between the primary and secondary coils. To find the best global solution which is considered as the maximum efficiency in the complex system, both algorithms are compared. A perturbation-and-observation-based tracking system is developed through an efficiency sensing system to act on the misalignment issue and the car position. An additional PSO controller is performed to control the duty cycle of the boost converter in order to follows the maximum efficiency operating points of a WPT system. The discrepancy is the use of the resonant inductive coupling as a source of the MPPT so as to perturb the car position and observe the transferred. Furthermore, the modeling of a contactless transformer is optimized using metaheuristic algorithm.

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Authors and Affiliations

  1. Université de Tunis El Manar, Ecole Nationale d’Ingénieurs de Tunis, LR11ES15, Laboratoire de Systèmes Électriques (LSE), 1002, Tunis, Tunisia

    Ihssen Jabri & Fethi Ghodbane

  2. Université de Sousse, Ecole Nationale d’Ingénieurs de Sousse, LR17ES04, Laboratory of Advanced Technology and Intelligent Systems (LATIS), 4023, Sousse, Tunisia

    Adel Bouallegue

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  1. Ihssen Jabri
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Correspondence to Ihssen Jabri.

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Jabri, I., Bouallegue, A. & Ghodbane, F. Misalignment controller in wireless battery charger for electric vehicle based on MPPT method and metaheuristic algorithm. Wireless Netw 24, 2375–2396 (2018). https://doi.org/10.1007/s11276-017-1474-5

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