Selective Vehicle Recall via On-Board Data Analysis
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Solution Overview
Problem
Current methods for recalling defective vehicle equipment are costly, time-consuming, and often result in unnecessary replacements, as they cannot differentiate between defective and non-defective components, and are limited in their ability to collect and analyze data from multiple vehicles simultaneously.
Innovation Solution
A method and system using a radio communications network management server to selectively recall vehicles with defective equipment by collecting and analyzing data from multiple vehicles via a wired communications network, allowing for the estimation of remaining life or wear limits, and sending targeted recall notices to affected vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a recall is performed to replace potentially defective components, then vehicle reliability is improved, but manufacturing cost and time are significantly increased due to systematic replacement of all components with the reference number
Solution Approach 1:
The system performs preliminary detection and monitoring of component status before the actual recall action. By continuously collecting data from sensors and diagnostic systems, the method identifies defective components in advance, allowing for targeted replacement only when necessary, rather than systematic replacement of all components with the same reference number.
Solution Approach 2:
The invention applies local quality by differentiating between individual components based on their actual condition rather than treating all components with the same reference number uniformly. The system monitors each component's specific status (wear, temperature, performance parameters) and identifies only the locally defective components for replacement, leaving healthy components in place.
2Measurement precision
If data collection from multiple vehicles is performed simultaneously to enable selective recall, then recall precision is improved, but system complexity and data processing requirements are increased
Solution Approach 1:
The system employs a universal data collection architecture that can simultaneously monitor multiple vehicles using the same diagnostic interface and communication protocol. The centralized server handles data from numerous vehicles through a standardized process, enabling multi-functionality in data acquisition, analysis, and recall decision-making without proportionally increasing system complexity.
Solution Approach 2:
The invention merges data collection from multiple vehicles into a centralized system. By combining diagnostic data, sensor readings, and component status information from numerous vehicles into a single analysis platform, the system achieves comprehensive monitoring while streamlining processing through consolidation rather than requiring separate systems for each vehicle.
3Speed
If public data from CAN bus is collected using Bluetooth communication, then data transmission capability is improved, but data collection completeness is reduced due to limited access to public data only
Solution Approach 1:
The system uses an intermediary approach by accessing the CAN bus through the vehicle's existing diagnostic interface (OBD port) rather than relying solely on Bluetooth communication. This intermediary access point enables comprehensive data extraction from both public and private data sources on the CAN bus, overcoming the limitations of direct Bluetooth-only collection methods.
Data Source
AI summary
A method for selectively recalling at least one motor vehicle. The method includes the steps of selecting at least one parameter from among the plurality of parameters, sending to the communications module, via the mobile node, a message indicating the parameter selected, collecting from the electronic control unit at least one data item relating to the selected parameter, this collection being performed by the communications module, sending the collected data item from the communications module to the mobile node, sending the sent data item by the mobile node to the management server, analyzing by the management server of the data item received, detecting a defect with the equipment on the basis of the analyzed data item, and determining a subset of vehicles including the equipment for which a defect has been detected so as to be able to proceed with recalling these.