Study on Automated Alignment Methods for Electric Vehicles Wireless Charging

For many Chinese people, even those just above the poverty line, owning a medium-quality car has evolved from a luxury to a survival device of surmountable importance. Also, the sales of green energy cars, under the great support of funds and discounts offered by the Chinese Government, had flown sky high in China's urban areas. Channels of charging if these green vehicles vary from situations, the most common types being static, dynamic, and quasi-dynamic wireless charging. Compared to wired charging, these techniques surpass it in ways of easier access, safety, and durability. Many wireless transmitters expose body parts that get easily damaged due to environmental factors. As the transmission is wireless, the device can be charged at a far wider range of angles and positions in which the wired chargers can never succeed. However, current wireless transmissions still faced technical barriers such as low charging speed and expensive installation. Furthermore, in contrast to the rapidly increasing market demands, the population of charging poles and pads provided a great difficulty for cars to maneuver themselves into parking spaces while aligning with transmission devices. Based on these issues, I successfully fabricated an automated alignment system based on computer-driven kinematic models to help solve such an issue. This study aims at analyzing possible solutions to this problem and why this system outperforms than other computational methods to deduct difficulty for drivers when parking with their green energy vehicles. Under 48 trials and errors investigating the general effectiveness of my method, considering misalignments in both coordinative and angular respectively, I concluded that the experiment subject method of automatic alignment could resolve this issue while keeping up with high efficiency of powering both small and large vehicles.