Vehicle Computer Variation Detection and Remote Update
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Solution Overview
Problem
Vehicle systems with multiple electronic components can exhibit unexpected behaviors due to variations that are not detected by existing technologies, leading to operational issues such as failed start-stop operations, wireless communication failures, and poor audio quality, without generating diagnostic trouble codes.
Innovation Solution
A vehicle computer system that detects variations using sensor and interface data, transmits this information to a remote computer, receives software updates, and installs them to remediate the issues, while also providing directives for user action or actuating vehicle actuators like hazard lights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional diagnostic systems are used, then diagnostic trouble codes can be generated for obvious failures, but variations in vehicle behavior that do not generate diagnostic trouble codes cannot be detected
Solution Approach 1:
The system performs preliminary actions by continuously monitoring vehicle parameters and comparing them against expected ranges before failures occur. The computer detects variations by analyzing sensor data trends and comparing actual values against predefined acceptable ranges, enabling early detection of behavioral deviations that do not constitute diagnostic trouble codes.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring vehicle operation, comparing actual behavior against expected patterns, and providing real-time information about detected variations. The computer receives sensor data, analyzes it against expected ranges, and provides feedback about variations through the user interface, enabling ongoing detection and communication of vehicle behavior deviations.
2Adaptability or versatility
If multiple electronic components are used in the vehicle system, then functionality and features are enhanced, but the system becomes more complex and harder to manage
Solution Approach 1:
The vehicle computer system performs multiple functions through a single integrated platform. The computer monitors various vehicle parameters from different sensors, detects variations across multiple systems, communicates with users through interface devices, and manages software updates. This multi-functional approach consolidates complexity into one central system rather than requiring separate management for each electronic component.
Solution Approach 2:
The system implements self-service capabilities by automatically detecting variations, identifying relevant software updates, and installing corrections without requiring manual intervention. The computer autonomously monitors vehicle behavior, compares it against expected ranges, communicates detected variations to users, and manages the software update process, reducing the need for complex manual system management.
3Reliability
If software updates are implemented to remediate variations, then vehicle operation reliability is improved, but system complexity and update management requirements increase
Solution Approach 1:
The system performs self-service software update management by automatically identifying variations that require remediation, selecting appropriate software updates from available resources, and installing them without manual intervention. The computer monitors vehicle behavior, detects variations matching known patterns, identifies corresponding software updates, and executes the update process autonomously, reducing complexity compared to manual update management.
Solution Approach 2:
The system implements feedback-driven update management by continuously monitoring vehicle operation, detecting variations, and using this information to trigger appropriate software updates. The computer receives feedback about vehicle behavior, compares it against expected patterns, and uses this information to identify when and what updates are needed, creating a closed-loop system that manages complexity through automated feedback-driven decision making.
Data Source
AI summary
A vehicle computer can be programmed to detect, in a vehicle, one of a plurality of variations, based on data received from one or more vehicle sensors or a vehicle interface, to transmit, to a remote computer, variation data including the detected variation and a version of software in the vehicle computer, wherein the variation data identifies the detected variation and the version of the software, to receive, from the remote computer, a response including that a software update is identified based on the detected variation, and upon identifying the software update, to download and install the software update in the vehicle computer.