Vehicle Temperature Sensor Diagnostic Reference Method
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Solution Overview
Problem
Diagnosing malfunctioning temperature sensors in a vehicle powertrain is challenging due to the complexity of hybrid powertrain systems and the need for accurate temperature modulation to prevent inefficiencies and component wear, as existing methods lack a systematic approach to differentiate between normal and abnormal temperature readings.
Innovation Solution
A thermal control module is configured to perform a diagnostic routine by computing a master-reference temperature value from multiple sensors, comparing individual readings to thresholds, and adjusting system performance or providing indicators for deviations, ensuring accurate temperature sensing and efficient cooling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If multiple temperature sensors are deployed across hybrid powertrain systems to monitor temperature, then temperature monitoring coverage is improved, but system complexity and difficulty of diagnosing sensor malfunctions increase
Solution Approach 1:
The diagnostic routine segments the temperature sensor evaluation by individually comparing each sensor reading against a dynamically computed reference temperature. This segmentation allows systematic diagnosis of each sensor independently, reducing the complexity of diagnosing multiple sensors simultaneously while maintaining comprehensive monitoring coverage across the hybrid powertrain system.
Solution Approach 2:
A reference temperature value is introduced as an intermediary standard against which all temperature sensor readings are compared. This intermediary reference point simplifies the diagnostic process by providing a common baseline for evaluating multiple sensors, reducing the complexity of cross-sensor comparison while improving temperature monitoring accuracy across the distributed sensor network.
2Reliability
If temperature sensors continuously monitor powertrain components, then component protection is improved, but false alarms from malfunctioning sensors increase
Solution Approach 1:
The diagnostic routine implements feedback by continuously comparing temperature sensor readings against a reference temperature and evaluating differences against a threshold. This feedback mechanism enables real-time detection of sensor malfunctions, allowing the system to maintain reliable component protection while identifying and flagging false alarms from malfunctioning sensors, thus reducing the false alarm rate.
Solution Approach 2:
The system changes the parameter evaluation approach by computing a reference temperature from multiple sensor readings and comparing individual readings against this dynamic reference rather than using fixed thresholds. This parameter transformation improves the ability to distinguish between actual temperature anomalies and sensor malfunctions, reducing false alarms while maintaining component protection reliability.
3Ease of operation
If temperature readings are compared against fixed thresholds, then diagnostic simplicity is improved, but accuracy in distinguishing normal from abnormal readings deteriorates
Solution Approach 1:
The diagnostic approach changes from using fixed thresholds to using a dynamically computed reference temperature derived from multiple sensor readings. This parameter transformation maintains diagnostic simplicity through automated computation while significantly improving measurement precision by adapting the reference value to actual system conditions, enabling accurate distinction between normal and abnormal readings.
4Productivity
If all temperature sensors are maintained in operational state, then system productivity is improved, but difficulty of detecting malfunctioning sensors increases
Solution Approach 1:
The diagnostic routine performs preliminary comparison of each temperature sensor reading against a reference temperature value before full system operation continues. This preliminary diagnostic action enables detection of malfunctioning sensors while maintaining system productivity, as the comparison can be performed continuously without interrupting powertrain operation, allowing early identification of sensor issues.
Data Source
AI summary
A method of rationalizing a plurality of temperature sensors associated with a plurality of electrical systems of a vehicle includes: maintaining each of the respective electrical systems of the vehicle in a non-operational state for a predetermined period of time; receiving a temperature reading from each of the plurality of temperature sensors following the predetermined period of time; computing a master-reference temperature value from the plurality of received temperature readings; determining a difference between each of the respectively received temperature readings and the computed master-reference temperature value; comparing each determined difference to a threshold; and providing an indicator if one or more of the determined differences exceeds the threshold.