Data-Driven Optimization of Hybrid Solar Photovoltaic (PV) and Battery Energy Storage Systems (BESS) for Electric Vehicle Charging Using a Hybrid Data Approach

Matthew Busayo Olanrewaju () and Hazzan Adedapo Aderinko ()

International Journal of Innovative Science and Research Technology (IJISRT), 2026, vol. 11, issue 06, 2830-2847

Abstract: This study addresses the challenge of designing hybrid solar photovoltaic (PV) and battery energy storage systems (BESS) for electric vehicle (EV) charging under the constraint of fully integrated real-world data sets that capture PV generation, storage and EV charging. The objective is to assess the technical, economic and environmental impacts of a hybrid PV-BESS system integrated with an EV using a data-driven approach. Performance of the system was analysed using high resolution time-series data from real PV generation, load and battery operation data, and a realistic modelling of the EV charging demand based on the system characteristics. The resulting system performance was evaluated through energy balance analysis, cost modelling using time of use pricing, and emission estimation.

Keywords: Hybrid Energy System; Photovoltaic (PV); Battery Energy Storage System (BESS); Electric Vehicle (EV) Charging; Timeof-Use Pricing; Energy Optimization; Grid Stability; Carbon Emissions. (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cvr:ijisrt:2026:06:ijisrt26jun1757

DOI: 10.38124/ijisrt/26jun1757

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