Adaptive Vehicle Control Unit Configuration Recognition
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Solution Overview
Problem
Current vehicle control systems face challenges in efficiently and automatically adapting software configurations to changing hardware components, especially in vehicles that require frequent reconfiguration, as existing methods are either costly, time-consuming, or prone to errors due to the need for external intervention and periodic checks.
Innovation Solution
A central control unit connected via a data line with other components and a data memory unit that determines the current hardware configuration upon vehicle start-up, loads suitable software modules, and updates configurations automatically, ensuring compatibility and minimizing external intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If external reprogramming of control equipment is performed after component replacement, then software configuration accuracy is improved, but reconfiguration time and operational delays increase
Solution Approach 1:
The system performs preliminary actions by automatically detecting hardware components and loading appropriate software configurations immediately upon vehicle start-up, eliminating the need for external reprogramming interventions. The control unit proactively identifies installed components through data lines and retrieves corresponding software modules from memory units before operational delays can occur.
Solution Approach 2:
The control system serves itself by autonomously determining hardware configuration and loading appropriate software without external intervention. The central control unit automatically queries connected components via data lines, identifies installed hardware, and loads matching software configurations from data memory units, making the system self-configuring and eliminating workshop visits for routine reconfiguration.
2Reliability
If periodic checks are implemented to verify configuration matching, then system reliability is improved, but operational complexity and intervention requirements increase
Solution Approach 1:
The system implements continuous configuration verification by automatically checking hardware-component matching at every vehicle start-up without requiring periodic manual interventions. The control unit continuously queries data lines for component presence and automatically loads appropriate software, maintaining reliable configuration matching through uninterrupted automated operations rather than periodic checks.
Solution Approach 2:
The control unit employs feedback mechanisms by continuously monitoring data lines for component identification signals and automatically adjusting software loading based on detected hardware configuration. This closed-loop feedback system verifies configuration matching reliability through automated detection and adaptation, reducing operational complexity by eliminating manual verification procedures.
3Adaptability or versatility
If software modules are loaded dynamically based on component detection, then adaptability to hardware changes is improved, but initial system setup complexity increases
Solution Approach 1:
The system implements dynamic software loading by automatically detecting hardware components through data lines at start-up and loading corresponding software modules from data memory units based on real-time component identification. This dynamic adaptation mechanism allows the control system to automatically adjust software configuration to match installed hardware, improving versatility while managing setup complexity through automated processes.
Solution Approach 2:
The control unit serves multiple functions by integrating component detection, configuration determination, and software loading capabilities into a single automated system. The universal control unit can identify various hardware components through data lines, determine appropriate software configurations, and load matching modules from data memory units, reducing overall system setup complexity through functional integration while maintaining high adaptability.
Data Source
AI summary
The invention involves a procedure for adaptive configuration recognition after the run-up of a control device with or without configuration storage, which performs an automatic and operator-assisted, optimal configuration of the operating software of a motor vehicle.In a first variant, a central control device, after its run-up, receives at the earliest possible time, as a rule after activation of the ignition, identifying information from other components connected directly or indirectly to the central control device by data link. Upon receipt of the identifying information of a component, the central control device assumes that this component is present. Otherwise it assumes that it is not present. An additional configuration memory area is envisioned in a second variant in which the central control device, after the first receipt of the identifying information of a component, stores either the information, the associated software parts, or the software configuration resulting from the total of the recognized components. In this way, the appropriate software configuration can be quickly made available upon the new start of the vehicle with an unchanged hardware configuration. Furthermore, the procedure facilitates a guarantee that no error reports will be generated about components that are not present.