EV Idle Computing During Charging for Profitable Task Execution
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Solution Overview
Problem
There is a need to utilize idle computing power in electric vehicles for performing computing tasks, as existing systems do not effectively leverage this resource for parallel, distributed, edge, and blockchain applications.
Innovation Solution
A system and method that enables electric vehicles to perform computing tasks while connected to a charging infrastructure, utilizing the vehicle's controller to determine computing capacity and profitability, and allowing the vehicle to accept or decline tasks based on net profit thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If idle computing power in electric vehicles is utilized for performing computing tasks, then productivity is improved, but device complexity increases
Solution Approach 1:
The vehicle controller is designed to perform multiple functions: it controls vehicle operations and simultaneously executes computing tasks when idle capacity is available. This multi-functionality allows the same hardware to serve dual purposes, improving productivity without requiring separate dedicated computing devices.
Solution Approach 2:
The system automatically manages computing task execution by the vehicle controller without requiring additional external computing infrastructure. The vehicle's own controller serves itself by utilizing its idle computing power, eliminating the need for separate service systems.
2Adaptability or versatility
If the vehicle controller determines computing capacity and accepts computing tasks, then adaptability is improved, but device complexity increases
Solution Approach 1:
The vehicle controller dynamically adjusts its behavior based on available idle computing capacity. It evaluates its current workload and computing resources in real-time to determine whether to accept additional computing tasks, allowing adaptable resource utilization without permanent structural changes.
Solution Approach 2:
The system changes operational parameters by monitoring computing capacity metrics and using these parameters to make decisions about task acceptance. The controller adjusts its task acceptance behavior based on varying computing resource availability, enabling versatile adaptation to different conditions.
3Loss of time
If computing tasks are performed while the electric vehicle is connected to charging infrastructure, then loss of time is reduced, but use of energy increases
Solution Approach 1:
The system performs computing tasks continuously during the charging period when the vehicle is connected to the charging infrastructure. By utilizing idle computing power throughout the entire charging duration, the system maximizes resource utilization and reduces time loss without requiring additional energy beyond what would be consumed during normal charging operations.
Data Source
AI summary
A method for using idle computing power of an electric vehicle includes receiving computing tasks while the electric vehicle is electrically connected to a charging infrastructure, accepting to perform the computing tasks while the electric vehicle is electrically connected to the charging infrastructure, and in response to accepting to perform the computing tasks, performing the computing tasks while the electric vehicle is electrically connected to the charging infrastructure.