Vehicle Subsystem Configuration Updates Without Image Libraries
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Solution Overview
Problem
Modern motor vehicles with multiple subsystems integrated by various manufacturers face challenges in efficiently updating configurations across a fleet, as existing methods require storing and maintaining a vast library of pre-defined configuration images for different vehicle models, years, and locations, making dynamic and tailored updates impractical.
Innovation Solution
A vehicle configuration update system that uses a communication network to dynamically generate and transmit configuration updates based on attributes like model, year, and driver identity, allowing for real-time adaptation and customization of subsystem configurations without the need for extensive pre-defined libraries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a vast library of pre-defined configuration images is stored and maintained for different vehicle models, years, and locations, then configuration updates can be applied to various vehicle subsystems, but the device complexity and storage requirements increase significantly
Solution Approach 1:
The patent segments the configuration update process into distinct components: configuration images are divided into subsystem-specific portions (powertrain, chassis, body, etc.), and the library is organized by vehicle attributes (model, year, trim, location). This segmentation allows the system to retrieve and apply only the necessary configuration portions for specific subsystems rather than managing complete configuration images for all possible vehicle variations.
Solution Approach 2:
The patent introduces a new dimensional approach by organizing configuration images along multiple attribute dimensions (vehicle model, model year, trim level, geographic location, subsystem type) rather than using a single flat library structure. This multi-dimensional organization enables efficient retrieval by filtering across multiple attributes simultaneously, reducing the complexity of managing diverse configurations.
2Adaptability or versatility
If pre-defined configuration images are maintained for all vehicle variations, then configuration updates can be applied across the fleet, but the storage burden and resource requirements increase
Solution Approach 1:
The patent extracts and separates configuration data into subsystem-specific portions (powertrain configuration, chassis configuration, body configuration, etc.) from complete vehicle configuration images. This extraction allows the system to store and transmit only the necessary configuration data for specific subsystems rather than maintaining complete configuration images for all vehicle variations, significantly reducing storage requirements.
Solution Approach 2:
The patent performs preliminary organization and indexing of configuration images by vehicle attributes (model, year, trim, location, subsystem) before they are needed for updates. This preliminary action enables efficient retrieval and filtering when configuration updates are required, avoiding the need to store and process all possible configuration variations simultaneously.
3Productivity
If dynamic and tailored configuration updates are implemented for individual vehicles, then operational efficiency improves, but the complexity of managing diverse configurations increases
Solution Approach 1:
The patent implements a feedback mechanism where the system retrieves vehicle attribute information (model, year, trim, location, subsystem) and uses this feedback to automatically filter and select the appropriate configuration images from the library. This feedback-driven approach enables dynamic and tailored configuration updates for individual vehicles while automating the management complexity through attribute-based filtering and retrieval.
Data Source
AI summary
Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, in connection with executing an update to a configuration of one or more vehicles deployed in the field. In one particular implementation, aspects of an updated configuration are to be determined “on the fly” responsive to a particular event.