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Optimized control approach for bidirectional wireless power transfer systems with vehicle-to-grid integration.

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Titel: Optimized control approach for bidirectional wireless power transfer systems with vehicle-to-grid integration.
Autoren: Mareedu, Venkatesh Hari, Malligunta, Kiran Kumar, Guttikonda, Chandra Babu, Thalanki, Venkata Sai Kalyani, Kambhampati, Venkata Govardhan Rao
Quelle: Bulletin of Electrical Engineering & Informatics; Feb2026, Vol. 15 Issue 1, p110-123, 14p
Schlagwörter: WIRELESS power transmission, ELECTRIC vehicles, PROFITABILITY, ENERGY storage, ENERGY consumption, FEEDBACK control systems, TIME-based pricing
Abstract: The transition to electric vehicles (EVs) has intensified the need for efficient vehicle-to-grid (V2G) and grid-to-vehicle (G2V) systems. Bidirectional wireless power transfer (BWPT) presents a seamless and intelligent approach to energy exchange, particularly under dynamic tariff and grid demand conditions. This study aims to model and simulate a Python-based rule-driven BWPT system to evaluate energy efficiency and economic performance in V2G/G2V applications. A synthetic dataset representing grid demand and time-of-use (TOU) pricing over seven days was used to simulate real-world operating conditions. The model incorporates state-ofcharge (SoC) dynamics, bidirectional power control logic, and profit calculation using a 15-minute resolution over 672 time steps. The simulation achieved a total energy exchange of 122.8 kWh and a cumulative net profit of ₹536.67, with daily profits averaging ₹76.6. SoC levels were effectively maintained between 20% and 90%, and power flows adapted accurately to tariff variations. The study confirms the feasibility of a lightweight, reproducible BWPT model capable of delivering optimized energy management and economic returns. The simulation approach offers strong potential for academic, research, and pre-deployment evaluation of intelligent charging systems. [ABSTRACT FROM AUTHOR]
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Datenbank: Complementary Index
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Abstract:The transition to electric vehicles (EVs) has intensified the need for efficient vehicle-to-grid (V2G) and grid-to-vehicle (G2V) systems. Bidirectional wireless power transfer (BWPT) presents a seamless and intelligent approach to energy exchange, particularly under dynamic tariff and grid demand conditions. This study aims to model and simulate a Python-based rule-driven BWPT system to evaluate energy efficiency and economic performance in V2G/G2V applications. A synthetic dataset representing grid demand and time-of-use (TOU) pricing over seven days was used to simulate real-world operating conditions. The model incorporates state-ofcharge (SoC) dynamics, bidirectional power control logic, and profit calculation using a 15-minute resolution over 672 time steps. The simulation achieved a total energy exchange of 122.8 kWh and a cumulative net profit of ₹536.67, with daily profits averaging ₹76.6. SoC levels were effectively maintained between 20% and 90%, and power flows adapted accurately to tariff variations. The study confirms the feasibility of a lightweight, reproducible BWPT model capable of delivering optimized energy management and economic returns. The simulation approach offers strong potential for academic, research, and pre-deployment evaluation of intelligent charging systems. [ABSTRACT FROM AUTHOR]
ISSN:20893191
DOI:10.11591/eei.v15i1.10740