Wireless Battery Charger Adaptive Model Control Bandwidth
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Solution Overview
Problem
Current wireless vehicle charging systems face limitations in control bandwidth due to variable delays and packet losses in wireless communication, leading to instability and slow response to disturbances.
Innovation Solution
An electrical charging system with an adaptive model in the feedback loop that predicts the current supplied to the battery and adjusts the output voltage of the power supply, allowing for increased control bandwidth by determining voltage command values more frequently than the transmission rate of sampled data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless communication is used for feedback in wireless charging systems, then wireless connection is maintained, but variable delays and packet losses occur that restrict control bandwidth and slow response to disturbances
Solution Approach 1:
The system performs preliminary actions by predicting future battery current values using an adaptive model before actual measurements are available. This allows the control system to proactively adjust power supply voltage based on predicted conditions rather than reacting to delayed feedback, effectively compensating for wireless communication delays and maintaining fast control response.
2Speed
If control bandwidth is increased to improve response speed, then disturbance response improves, but system stability deteriorates due to wireless communication delays
Solution Approach 1:
The system implements a predictive feedback mechanism where the adaptive model continuously predicts battery current based on historical data and system parameters. This predicted feedback is fed forward to the controller, creating a virtual feedback loop that operates at higher bandwidth without being constrained by actual wireless communication delays, thus maintaining both stability and fast response.
3Productivity
If voltage command values are determined more frequently than data transmission rate, then control bandwidth is increased, but control loop stability may be compromised
Solution Approach 1:
The system creates a virtual copy of the feedback signal through the adaptive predictive model. Instead of relying on actual delayed measurements from wireless communication, the model generates predicted current values that mimic what the feedback would be if instantaneous measurement were available. This allows high-rate control updates using predicted rather than actual feedback data, maintaining stability while increasing control bandwidth.
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
The system achieves faster response to disturbances and improved reliability in wireless charging by adjusting the output voltage every 20 milliseconds, despite data updates every 100 milliseconds, thereby enhancing the stability of the closed-loop control.
Implementation Method 1
a source coil that is in electrical communication with the electrical power supply and configured to generate an alternating magnetic field
Implementation Method 2
The source coil is magnetically coupled to a capture coil exposed to the alternating magnetic field, thereby inducing the capture coil to capture electrical power from the magnetic field
Data Source
AI summary
A wireless electrical charging system and a method of operating same wherein operating parameters from a remote portion of the system are wirelessly transmitted to a charging controller controlling the output voltage of an alternating power supply. The charging controller executes an adaptive model control algorithm that allows the charging controller to update the output voltage at a greater rate than the transmission rate of the operating parameters from the remote portion of the system.