Optimizing Power Delivery in Inductive Wireless Power Transfer Systems Utilizing SPICE-Python Integration

The quality factor (Q factor) and the coupling coefficient (K) are important parameters in optimizing power delivery in Inductive Wireless Power Transfer (IWPT) systems. The Q factor measures the efficiency and performance of resonant circuits, indicating how effectively a coil can store energy relative to the energy lost per cycle. This efficiency is crucial for determining the power transfer between transmitter and receiver coils. Similarly, the coupling coefficient quantifies the magnetic coupling between these coils, influencing the mutual inductance and being affected by distance and misalignment. Our study proposes Wireless Power Transfer Optimization utilizing SPICE-Python integration, a tool and method to optimize IWPT parameters by utilizing SPICE and Python. The developed methods effectively demonstrate the maximum power absorbed by the load under varying Q factors and K coupling coefficients. Our findings indicate that higher K coefficients require smaller Q values for optimal power delivery. These insights enable IWPT designers to select appropriate capacitors, frequencies, and inductance parameters to achieve maximum power transfer efficiency.