Abstract

An autonomous coil alignment system (ACAS) using fuzzy steering control is proposed for vehicles with dynamic wireless charging. The misalignment between the power receiver coil and power transmitter coil is determined based on the voltage difference between two coils installed on the front-left/front-right of the power receiver coil and is corrected through autonomous steering using fuzzy control. The fuzzy control is chosen over other control methods for implementation in ACAS due to the nonlinear characteristic between voltage difference and lateral misalignment distance, as well as the imprecise and constantly varying voltage readings from sensors. The operational validity and feasibility of the ACAS are verified through simulation, where the vehicle equipped with ACAS is able to align with the power transmitter in the road majority of the time during operation, which also implies achieving better wireless power delivery.

Highlights

  • It is notable that commercialization of electric vehicles (EVs) is becoming more widespread around the world in order to reduce the serious issues related to global warming and energy depletion that are being faced today

  • 0.3 (a) b1 to b4 represent the x coordinates for the trapezoidal membership function (MF), where b1, b2, b3, and b4 represent the left vertex, left-center vertex, right-center vertex, and right vertex of the trapezoid, respectively. Both the triangular and trapezoidal MFs have been used for the autonomous coil alignment system (ACAS) fuzzy logic controller, and the MF set for the lateral misalignment and its rate are shown in Figures 15(a) and 15(b), respectively

  • An autonomous coil alignment system (ACAS) for vehicles with dynamic wireless charging is proposed. This system can detect lateral misalignment through three voltage sensors installed near the pick-up coil of the vehicle, and the nonlinear relationship between the voltage difference and misalignment position is converted into a more linear characteristic through the misalignment conversion unit

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Summary

Introduction

It is notable that commercialization of electric vehicles (EVs) is becoming more widespread around the world in order to reduce the serious issues related to global warming and energy depletion that are being faced today. Keeping the vehicle aligned at the center of the road will require a lot of concentration, which can distract the driver to oncoming dangers and can lead to potential car accidents To resolve such misalignment issues in dynamic wireless charging systems, many researches have been conducted to increase their alignment range through efficient power receiving modules [6, 8,9,10]. As mentioned earlier about EVs with dynamic wireless charging, lateral misalignment between the power transmitter and the power receiver will inevitably occur, which will result in reduced power transfer and efficiency. The resultant mutual inductance, inductance of power line and pick-up coil, and the induced voltage on the pick-up coil were implemented into Agilent Advanced Design System (ADS) program, which is an electronic design automation (EDA) simulation tool that analyzes wireless circuit systems. Transfer and efficiency and increase the overall safety and comfort for the driver

Concept of the ACAS
Comparison Analysis
Findings
Conclusion
Full Text
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