Automated Driving Redundancy Switching for Lower Compute Energy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing partially automated driving systems for motor vehicles consume significant energy and resources due to the need for redundant computer applications to ensure robustness and reliability, which can be inefficient under varying circumstances.
Innovation Solution
A method where a vehicle controller dynamically adjusts the configuration of its computer unit based on received vehicle operating data from other vehicles, allowing redundant applications to switch from an active to a standby state, reducing energy consumption and resource usage while maintaining safety levels by utilizing data from other vehicles for redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If redundant computer applications are executed to ensure robustness and reliability, then system reliability is improved, but energy consumption and resource usage increase
Solution Approach 1:
The system dynamically adjusts the execution state of redundant applications based on communication conditions. When vehicle-to-vehicle communication is reliable, redundant applications switch to standby state with reduced execution frequency. When communication deteriorates or fails, the system automatically activates full redundant application execution to maintain safety, thus adaptively managing energy consumption while preserving reliability
Solution Approach 2:
The system changes the execution parameter (frequency) of redundant applications based on communication quality. The computer unit transitions between active and standby states, modifying the operational parameters of redundant applications to optimize the balance between reliability and energy consumption under different communication conditions
2Reliability
If redundant computer applications are executed to ensure robustness and reliability, then system reliability is improved, but resource consumption of computer units increases
Solution Approach 1:
The system dynamically configures the computer unit's resource allocation by switching redundant applications between active and standby states based on communication conditions, reducing computational resource consumption when full redundancy is not required while maintaining the capability to restore full redundancy when needed
Data Source
AI summary
Technologies and techniques for the at least the partially automated driving of a motor vehicle. A first application and at least one redundant second application provide output data depending on motor vehicle operating data and/or environmental data. Vehicle driving data for the at least partially automated driving of the motor vehicle are determined depending on the output data. Vehicle operating data from another vehicle are received, and, depending on the vehicle operating data, the at least one redundant second application switches from an active state to a standby state in which a computer instance of a computer unit used by the at least one redundant second application is at least executed at a lower frequency than in the active state.