Abstract
This paper presents a wireless battery charging scheme for electric vehicle. Here, electrical source can be either conventional power supply or solar photovoltaic power source. During sufficient solar radiation level, charging power is wirelessly fed from solar PV module through the controlling of converter under maximum power point tracking (MPPT) mode. Otherwise, battery is charged from conventional power source via wireless method. Under passing cloudy condition or presence of nearby objects like buildings or trees, partially shaded PV module fails to supply maximum electrical power for charging battery bank. Here, the conventional MPPT algorithm is unable to track the global peak power under presence of multiple peaks on power-voltage characteristic of partially shaded PV module. Thereby, this reduces power conversion efficiency of PV module under partial shading condition. In the context, Grey Wolf Optimization (GWO) based MPPT method is proposed to maximize charging power of battery. This facilitates efficient and rapid charging action of battery bank in EV application.
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Samanta, P., Roy, R., Mazumder, S., Gayen, P.K. (2024). Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application. In: Dasgupta, K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2023. Communications in Computer and Information Science, vol 1955. Springer, Cham. https://doi.org/10.1007/978-3-031-48876-4_10
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DOI: https://doi.org/10.1007/978-3-031-48876-4_10
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