Vehicle Software Deployment System with Fallback Plans
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Solution Overview
Problem
Modern vehicles with multiple electronic control units (ECUs) and sensors face challenges in optimizing software deployment due to varying system configurations and component failures, leading to sub-optimal resource utilization and potential application degradation or failure.
Innovation Solution
A vehicle software deployment system that generates optimized deployment plans and fallback plans using telemetry data and customer preferences, prioritizing resource allocation and ensuring certification, while automatically adapting to changes in vehicle configurations and failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle software applications are deployed to vehicles with multiple ECUs and sensors, then the applications can function with various system configurations, but the resource utilization may be sub-optimal and deployment complexity increases
Solution Approach 1:
The system pre-determines fallback deployment plans before actual deployment occurs. Multiple potential deployment configurations are prepared in advance, including optimized plans and fallback plans for various failure scenarios. When deployment time arrives, the system selects from pre-computed options rather than computing deployment strategies in real-time, reducing operational complexity while maintaining adaptability across different vehicle configurations.
2Reliability
If vehicle components may fail, then reliability concerns arise, but implementing comprehensive failure handling increases system complexity
Solution Approach 1:
The system pre-computes fallback deployment plans for various failure scenarios before actual failures occur. Multiple failure modes are simulated in advance, and corresponding remedial deployment configurations are prepared and stored. When a failure actually occurs, the system simply selects the pre-computed fallback plan that matches the failure condition, avoiding the need for complex real-time failure analysis and computation.
Solution Approach 2:
The system implements redundancy by preparing multiple deployment plans including optimized plans and fallback plans for different failure scenarios. This cushioning approach ensures that when component failures occur, the system can switch to pre-prepared alternative configurations, maintaining application operability without requiring complex adaptive failure handling mechanisms.
3Reliability
If multiple deployment plans are generated for different failure scenarios, then reliability improves, but the time required for deployment planning increases
Solution Approach 1:
The system performs computationally intensive deployment planning and failure scenario simulation in advance, before actual deployment operations. Multiple failure scenarios are pre-simulated and corresponding fallback plans are pre-computed and stored. During actual deployment, the system only needs to select from pre-computed options rather than performing complex optimization in real-time, significantly reducing deployment execution time while maintaining comprehensive failure coverage.
Data Source
AI summary
Systems and methods for providing vehicle software deployment plans that include one or more fallback deployment plans are disclosed. In some embodiments, a vehicle software deployment system determines a deployment plan for deploying one or more software applications one or more electronic control units (ECUs) of a vehicle. Additionally, for one or more failure scenarios, the vehicle software deployment system determines one or more respective fallback deployment plans, such as a deployment plan that assumes one of the ECUs of the vehicle has failed. A deployment plan bundle is provided to the vehicle, comprising a primary deployment plan as well as the one or more fallback deployment plans. In the event that one of the failure scenarios takes place with respect to the vehicle, a deployment agent of the vehicle automatically deploys one of the fallback deployment plans that was provided with the deployment bundle.