Bidirectional Charging Station for Electric Aircraft
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current electric aircraft charging technologies face challenges in efficiently managing power transfer between electric aircraft and the power grid, particularly in adapting to varying demand and supply needs, and in optimizing charging strategies to extend battery life and balance energy distribution.
Innovation Solution
A charging station equipped with a controller that manages power transfer via a bidirectional charging connection, using machine-learning models to forecast demand and supply, and includes features like V2G and V2H capabilities to balance energy distribution and optimize charging rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bidirectional charging connection is implemented, then power transfer efficiency between aircraft and grid is improved, but device complexity increases
Solution Approach 1:
The charging station is designed with bidirectional charging capability, allowing it to perform multiple functions: charging the aircraft battery from the grid and discharging to the grid when excess energy is available. The controller automatically manages both charging and discharging operations through a single integrated system, eliminating the need for separate charging and discharging equipment.
2Productivity
If machine-learning models are used for demand forecasting, then charging strategy optimization is improved, but device complexity increases
Solution Approach 1:
The controller incorporates machine-learning models that automatically analyze historical charging data, predict future demand patterns, and optimize charging strategies without external intervention. The system self-adjusts charging parameters based on forecasted demand, eliminating the need for manual optimization and reducing operational complexity.
3Reliability
If real-time power management is implemented, then battery life extension is improved, but loss of time in processing increases
Solution Approach 1:
The controller continuously monitors battery state-of-charge, temperature, and power flow in real-time, using this feedback to dynamically adjust charging and discharging rates. This closed-loop control prevents overcharging and thermal stress on the battery, extending its life while making processing decisions instantly based on current conditions rather than requiring extensive analysis.
Data Source
AI summary
Aspects relate to a charging station configured to transfer power between an electric aircraft and a power grid via a charging connection. In one or more embodiments, charging station may communicate with the power grid and/or electric aircraft via a communication network. For example, the charging station may be configured to receive a supply request from a power grid or a demand request from an electric aircraft and subsequently generate a control signal that transfers electrical power between the power grid and the electric aircraft via the charging connection.