Accurate Alignment Control and Energy Transmission Optimization of Dynamic Wireless Charging Mechanical Platform

Abstract

The potential of dynamic wireless power transfer (DWPT) to link electric vehicles to charging stations without the need for physical connections has attracted a lot of interest. Two of the most crucial characteristics for real-world uses of wireless dynamic charging are stable output power and good system efficiency. Nevertheless, researchers face a significant obstacle in their pursuit of more efficient power transmission. The literature explores several methods to optimize power transmission efficiency. The control method, compensation capacitance, magnetic coupler design, and power electronic circuit are all part of the research. Additionally, whether the wireless charging system is static or dynamic determines the sort of inquiry that is conducted. An efficiency optimization strategy, namely an ANN, is suggested for low-speed dynamic charging application situations to regulate the output voltage and increase system efficiency. It is possible to create a stronger magnetic field devoid of dead spots by overlapping two DD coils. As the receiver travels along the track, an optimal current control mechanism is suggested to dynamically modify the direction and ratio of the two transmitter currents. This technology may maximize the dynamic charging system's efficiency while regulating the output power to the appropriate value simultaneously. In order to verify how well the suggested approach works, a 600 W model is built. The suggested technique achieves system efficiency for charging dynamically of 88. 3% to 90. 4%, according to the testing data. When both DD coils are activated to the same current, the suggested technique improves efficiency by a maximum of 2. 3%. Arranging the coils coaxially is necessary for best power while transmission efficiency when establishing a wireless power transfer mechanism for an electric car. Coil angular as well as lateral misalignments are common in wireless charging systems. This research presents a novel alignment method for EV wireless charging that addresses the issue of the receiver and transmitter coil misalignment. Coil design and analysis with mutual inductance along with effectiveness as key considerations is the focus of the research. Ansys Maxwell is used to represent wireless coils that have angular misalignment. By using angular motion to align the coils, the suggested practical EV system successfully decreases misalignment that occurs while two-wheelers are parked. To do this, just turn the transmitter coil so it faces the right way. To further aid automated alignment, tiny sensing coils are used to detect misalignment. In order to charge batteries in both constant current as well as constant voltage modes, a power management mechanism is also required. For maximum capacity use and extended lifetime of lithium-ion batteries, it is essential to charge them effectively using both CC and CV modes. At 160 mm apart, the created system may increase the wireless charging system's efficiency to 98. 3% using a 24 V, 16 Ah Lithium-Ion Phosphate (LiFePO4) batteries.