Electric Motor Degradation Detection Using Multi-Parameter Threshold Flags
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Solution Overview
Problem
Existing electric motor control systems struggle to accurately identify motor degradation, which can lead to reduced performance and efficiency in vehicles.
Innovation Solution
The system employs a parameter flag module to compare operating parameters with predetermined thresholds, setting indicators based on these comparisons. A degradation module then determines motor degradation based on these indicators, allowing for adjustments to control parameters to mitigate degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple operating parameters are monitored and compared with thresholds to identify motor degradation, then the accuracy of degradation identification is improved, but the system complexity increases
Solution Approach 1:
The system segments the degradation identification process into distinct functional modules: a parameter flag module that compares N operating parameters with predetermined thresholds to set N indicators, a first module that selects first ones of the N indicators to set a first indicator, and a second module that selects second ones of the N indicators to set a second indicator. This segmentation allows complex multi-parameter monitoring to be organized into manageable, independent comparison operations, improving identification accuracy while maintaining system manageability.
2Reliability
If multiple indicators are selected and combined using logical operations to determine degradation status, then the reliability of degradation detection is improved, but the computational complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-defining N predetermined thresholds for N operating parameters before actual degradation detection occurs. The parameter flag module预先 sets up comparison criteria, and the first and second modules pre-select which indicators to monitor. This preliminary configuration allows the system to rapidly determine degradation status using simple logical operations (AND for the first module requiring all indicators to be in the first state, OR for the second module requiring at least one indicator to be in the first state) without complex real-time computation.
3Productivity
If control parameters are adjusted in response to detected degradation, then motor performance is maintained, but the control system complexity increases
Solution Approach 1:
The system implements feedback control by continuously monitoring N operating parameters, comparing them with predetermined thresholds, and adjusting control parameters based on the degradation detection results. The parameter flag module and indicator modules provide feedback signals that trigger control parameter adjustments, creating a closed-loop system that maintains motor performance while adapting to degradation conditions through automated feedback mechanisms.
Data Source
AI summary
A system includes: a module configured to: compare operating parameters with predetermined thresholds, respectively; and set indicators for the operating parameters based on the comparisons, respectively; a module configured to: set a first indicator to a first state when all of first ones of the indicators are in a first state; and set the first indicator to a second state when at least one of the first ones of the indicators is in a second state; a module configured to: set a second indicator to a first state when at least one of second ones of the indicators are in a first state; and set the second indicator to a second state when all of the second ones of the indicators are in a second state; and a module configured to indicate whether an electric motor is degraded based on at least one of the first and second indicators.