Vehicle Fault-Code Early Warning for MCU Failure Detection
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Solution Overview
Problem
Existing new-energy vehicles face safety issues due to component failures, particularly in CPLD chips and battery voltage, leading to propulsion loss and increased traffic accidents, with current monitoring methods being labor-intensive and inefficient.
Innovation Solution
A vehicle early-warning method that divides vehicle data into temporal segments, parallelly processes them to detect fault codes, and outputs warnings when specific codes exceed thresholds, reducing labor costs and increasing warning speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are arranged in the blind spot area to improve detection accuracy, then detection precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies multi-functionality by enabling a single sensor to perform multiple detection tasks. The sensor arranged in the blind spot area is configured to detect both pedestrian information and vehicle information (such as approaching vehicles), thereby improving detection precision without proportionally increasing device complexity. This allows the sensor system to maintain comprehensive monitoring capabilities while optimizing the number of sensors required.
2Measurement precision
If multiple sensors are arranged in the blind spot area to improve detection accuracy, then detection precision is improved, but manufacturing cost increases
Solution Approach 1:
The patent reduces manufacturing cost by designing the sensor in the blind spot area to serve multiple functions. Instead of requiring separate sensors for pedestrian detection and vehicle detection, the same sensor performs both detection tasks, thereby improving detection precision while minimizing the increase in manufacturing cost associated with additional sensors.
3Measurement precision
If sensor detection range is increased to cover blind spot area, then detection coverage is improved, but false detection rate increases
Solution Approach 1:
The patent applies local quality by configuring the sensor in the blind spot area with specific detection parameters optimized for that location. The sensor's detection range and sensitivity are adjusted to match the characteristics of the blind spot region, allowing improved detection coverage while minimizing false detections from unrelated objects. This localized optimization ensures that the sensor effectively monitors the specific area where blind spots occur without being overly sensitive to distant or irrelevant targets.
Solution Approach 2:
The patent employs feedback mechanisms to reduce false detection rates. The sensor data from the blind spot area is processed and cross-validated with information from other sensors in the system. When potential detections are identified, the system uses feedback from multiple sources to verify authenticity, thereby improving detection coverage while filtering out false positives through collaborative verification.
4Device complexity
If sensor in blind spot area performs multiple detection tasks, then device complexity is reduced, but detection precision may deteriorate
Solution Approach 1:
The patent implements multi-functionality in a way that maintains detection precision through careful sensor selection and configuration. The single sensor in the blind spot area is chosen with sufficient performance characteristics to handle multiple detection tasks simultaneously. By optimizing the sensor's technical specifications and detection algorithms, the system achieves both reduced device complexity and maintained detection precision for critical safety functions.
Data Source
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AI summary
A vehicle early-warning method and apparatus, an electronic device and a storage medium. The vehicle early-warning method includes: acquiring a vehicle-relevant datum of a current vehicle, wherein the vehicle-relevant datum contains an MCU fault code of the current vehicle; dividing the vehicle-relevant datum into a plurality of travel data; among the plurality of travel data, by means of concurrent processing, simultaneously determining target travel data in which the MCU fault code appears as a first preset fault code; and if a number of times with which the first preset fault code appears in the target travel data is greater than a preset number of times, outputting an early-warning signal.