Sequential Diagnosis Reset for Automotive Power Switches
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Solution Overview
Problem
Existing power network diagnostic methods lack a robust and efficient mechanism for performing sequential diagnosis, particularly in decentralized automotive power distribution systems, where timely and accurate fault detection is crucial for preventing damage to wire harnesses and other components.
Innovation Solution
A method for performing a sequential diagnosis in a power network that involves sending a diagnosis control signal from a controller to a power switch, using timeouts to change the diagnosis state, and resetting the diagnosis if a timeout exceeds a predetermined threshold, thereby ensuring a systematic and controlled diagnostic process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sequential diagnosis process is implemented in decentralized power networks, then fault detection capability is improved, but system complexity increases
Solution Approach 1:
The diagnosis process is segmented into discrete states (initial diagnosis state, subsequent diagnosis states) that can be independently managed. Each state corresponds to a specific diagnostic phase, allowing the system to break down the complex diagnosis task into manageable segments that progress sequentially through state transitions.
Solution Approach 2:
The diagnosis system dynamically transitions between different diagnosis states based on timeout conditions. The system adapts its behavior by moving from the initial diagnosis state to subsequent diagnosis states when timeout intervals are met, and resets to the initial state when timeout thresholds are exceeded, creating a flexible dynamic diagnosis flow.
2Productivity
If timeout-based state transitions are used for sequential diagnosis, then diagnosis efficiency is improved, but timing precision requirements increase
Solution Approach 1:
The diagnosis system uses its own timeout mechanisms to drive state transitions. The timeout intervals and thresholds are built into the system's timing architecture, allowing the diagnosis process to self-regulate and self-transition between states without requiring external timing control or complex synchronization mechanisms.
3Reliability
If diagnosis reset mechanism is implemented, then system robustness is improved, but diagnostic continuity is reduced
Solution Approach 1:
The diagnosis system incorporates feedback through timeout monitoring that triggers state transitions and resets. When timeout intervals are met, the system transitions to subsequent states; when timeout thresholds are exceeded, the system feedbacks by resetting to the initial state. This feedback mechanism ensures robustness by catching and correcting diagnostic failures while maintaining continuity through structured state progression.
Data Source
AI summary
A method for performing a sequential diagnosis in a power network is presented. The method comprises:a) sending a diagnosis control signal from a controller to a power switch for starting the sequential diagnosis at an initial diagnosis state of the power switch and using timeouts of the diagnosis control signal for changing a present diagnosis state of the power switch;b) if a timeout matches a predetermined time interval, continuing the sequential diagnosis by going on to a subsequent diagnosis state of the present diagnosis state; andc) if a timeout exceeds a predetermined time threshold, resetting the sequential diagnosis by restarting at the initial diagnosis state.Further, a power switch is presented.


