Wireless Charging Coil Alignment Using LF Ground Assembly Detection
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Solution Overview
Problem
Conventional alignment methods for wireless charging in electric vehicles are inefficient and prone to user intervention, coil misalignment, and system performance degradation due to coil misalignment, leading to reduced power transfer efficiency and stability.
Innovation Solution
A position alignment method and apparatus using low-frequency signals to align a primary coil of a charging station with a secondary coil of an electric vehicle, involving recognition of ground assembly states, selection of a target ground assembly, and authentication through wireless communication, data exchange, and pairing using LF signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional alignment methods (rear camera or movable charging pad) are used, then user intervention is required and alignment is inconvenient, but the system complexity and cost are reduced
Solution Approach 1:
The system performs automatic position alignment without user intervention by using LF signals to detect coil positions and calculate alignment amounts. The EVCC automatically controls the vehicle's movement to achieve proper alignment between the VA and GA, making the system self-aligning.
Solution Approach 2:
The patent replaces mechanical alignment methods (manual positioning or movable pads) with an electromagnetic field-based detection system using LF signals. The magnetic field generated by LF antennas enables automatic detection and calculation of alignment positions, substituting mechanical operations with electromagnetic sensing.
2Measurement precision
If conventional alignment methods are used, then alignment deviation is large, but the device complexity is low
Solution Approach 1:
The patent replaces imprecise mechanical alignment methods with electromagnetic field-based detection using LF signals. The magnetic field enables precise detection of coil positions and calculation of alignment amounts, achieving high measurement precision through electromagnetic sensing rather than mechanical means.
Solution Approach 2:
The LF signal acts as an intermediary between the alignment system and the coils. By detecting the magnetic field generated by LF antennas, the system can precisely determine coil positions and calculate alignment amounts without direct mechanical contact or complex optical systems.
3Productivity
If coil misalignment occurs in magnetic resonance wireless power transfer, then power transfer efficiency is greatly reduced, but the system is more sensitive to alignment
Solution Approach 1:
The system performs position alignment before wireless power transfer begins. By detecting coil positions using LF signals and calculating the required alignment amount in advance, the system ensures proper alignment is achieved before charging starts, preventing efficiency loss from misalignment.
Solution Approach 2:
The system continuously monitors alignment status during the charging process. The EVCC receives information about the alignment amount from the P2PS controller and adjusts the vehicle's position accordingly, providing real-time feedback to maintain optimal alignment and ensure stable power transfer efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the precision and efficiency of wireless charging by minimizing coil misalignment, ensuring optimal power transfer, stability, and reliability in magnetic resonance wireless power transfer systems.
Implementation Method 1
a vehicle assembly (VA) to perform position alignment with a target ground assembly (GA) among a plurality of GAs... performing position alignment with the target GA using LF signals
Data Source
AI summary
A position alignment method comprises recognizing the state of the plurality of GAs through wireless communication with an SECC for controlling the plurality of GAs, receiving information about one or more valid GAs among the plurality of GAs from the SECC, selecting a target GA on the basis of the information about the one or more valid GAs, and establishing a wireless communication link; making a request to the SECC for performing a position alignment approval and authentication process, performing position alignment with the target GA using an LF signal if the authentication is successful, transmitting a dataset to the SECC using the LF signal after the position alignment with the target GA, and pairing with the target GA based on the dataset.