Wireless Power Transfer Coil Control for Autonomous Vehicles
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Solution Overview
Problem
Current wireless power transfer (WPT) systems for electric vehicles face inefficiencies in energy transfer due to dynamic movement and the need to minimize electromagnetic radiation, with existing solutions often wasting energy by continuously energizing ground-based coils and lacking optimal control over vehicle movement to maximize power transfer.
Innovation Solution
A network device receives vehicle characteristic data to identify available ground-based coils and determines driving parameters for autonomous vehicles to optimize power transfer, controlling speed, spacing, and route selection to ensure efficient energy transfer and reduce energy waste by only energizing coils when needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ground-based coils are continuously energized to ensure power availability, then power transfer reliability is improved, but energy waste increases
Solution Approach 1:
The system performs preliminary actions by predicting vehicle arrival at charging zones and pre-energizing ground-based coils before the vehicle reaches them. The prediction server analyzes vehicle trajectory data to determine when vehicles will enter charging zones, then activates coils in advance, ensuring immediate power availability while avoiding continuous energization and reducing energy waste.
Solution Approach 2:
The system implements feedback mechanisms where the prediction server continuously receives vehicle trajectory data, monitors coil energization status, and adjusts coil activation timing based on actual vehicle movement patterns. This closed-loop control ensures coils are energized only when needed and at the optimal moment, balancing reliability with energy efficiency.
2Loss of energy
If ground-based coils are only energized when vehicle is on top to reduce energy waste, then energy efficiency is improved, but power transfer efficiency decreases due to dynamic movement
Solution Approach 1:
The system energizes coils in advance of vehicle arrival based on predicted trajectories, ensuring optimal power transfer efficiency when vehicles enter charging zones. By pre-positioning the electromagnetic field before vehicle arrival, the system maintains high transfer efficiency without requiring continuous energization, thus improving both energy efficiency and power transfer efficiency simultaneously.
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
This approach optimizes power transfer efficiency by controlling vehicle movement to align coils effectively and reducing energy waste, enhancing the overall performance and reliability of WPT systems while minimizing electromagnetic radiation.
Implementation Method 1
a ground-based charging coil of a wireless power transfer (WPT) system. Each of the one or more autonomous vehicles is equipped with a vehicle-based charging coil configured to receive electrical power from a ground-based charging coil
Data Source
AI summary
In some embodiments, a device in a network receives vehicle characteristic data regarding one or more autonomous vehicles. Each autonomous vehicle of the one or more autonomous vehicles is equipped with a vehicle-based charging coil configured to receive electrical power from a ground-based charging coil of a wireless power transfer (WPT) system. The device, based on the received vehicle characteristic data, identifies one or more ground-based charging coils of the WPT system available to provide power to the one or more autonomous vehicles. The device determines driving parameters for the one or more autonomous vehicles to optimize power transfer from the one or more ground-based charging coils to the one or more autonomous vehicles. The device sends the driving parameters to the one or more autonomous vehicles to control movement of the one or more autonomous vehicles.