Exhaust Gas Sensor Heating via Dynamic Energy Model
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional exhaust gas sensor heating methods are inefficient under variable ambient conditions and do not account for component protection, leading to inconsistent heating times and potential overheating.
Innovation Solution
A method using an energy model to calculate and adjust the energy input to the heating element, taking into account parameters like convective, conductive energy exchanges, and thermal radiation, to reach a specified energy threshold for faster and safer heating of exhaust gas sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed maximum heating time is defined based on typical conditions, then the heating control is simple, but the heating efficiency deteriorates under variable ambient conditions and voltage
Solution Approach 1:
The patent applies dynamics by transitioning from a static fixed heating time to a dynamic heating time calculation that adapts to varying conditions. The controller continuously calculates the required heating time based on real-time voltage levels and temperature differences, allowing the system to optimize heating efficiency under different operating conditions while maintaining simple control logic.
Solution Approach 2:
The patent changes the parameter of heating time from a fixed value to a variable parameter that depends on voltage and temperature conditions. By calculating heating time as a function of these parameters, the system achieves faster and more efficient heating adaptation to different ambient conditions and voltage levels without complex control mechanisms.
2Reliability
If the heating time is extended to ensure sufficient heating under all conditions, then the heating reliability improves, but the risk of overheating and component damage increases
Solution Approach 1:
The patent implements feedback by continuously monitoring the sensor temperature and using this information to adjust the heating duration. The controller calculates the required heating time based on the actual temperature difference between current and target temperature, ensuring the sensor is heated sufficiently without exceeding safe temperature limits, thus preventing overheating while maintaining heating reliability.
Solution Approach 2:
The patent applies preliminary action by calculating the required heating time in advance based on voltage and temperature conditions before actually heating the sensor. This pre-calculation ensures that the heating process is optimized for the specific conditions, achieving reliable heating while avoiding excessive heating time that could lead to overheating.
3Productivity
If the heating time is reduced for faster sensor availability, then the productivity improves, but the heating reliability deteriorates under adverse conditions
Solution Approach 1:
The patent changes the heating time parameter from a fixed conservative value to a dynamically calculated value that adapts to voltage and temperature conditions. This allows the system to achieve faster sensor availability when conditions permit while automatically extending heating time when adverse conditions are detected, thus maintaining both productivity and heating reliability.
4Ease of operation
If a duty cycle is used to ensure effective voltage, then the voltage control is simplified, but the heating precision deteriorates under variable voltage conditions
Solution Approach 1:
The patent applies parameter changes by using the actual voltage parameter in the heating time calculation rather than assuming a fixed effective voltage. By incorporating real-time voltage measurements into the heating time formula, the system achieves precise heating control that adapts to voltage variations while maintaining the simplicity of duty cycle control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for faster and more efficient heating of exhaust gas sensors under variable conditions while ensuring component protection, reducing application costs and simplifying the heating process by accounting for multiple influencing factors.
Implementation Method 1
a desired effective voltage is generally ensured by a heater final stage... The heating element of the particulate sensor is generally used to regenerate a sensor element... soot being burnt off by heating... The further sensors generally only function at a sufficiently high working temperature of a sensor ceramics and are therefore generally continuously heated
Implementation Method 2
A method using an energy model to calculate and adjust the energy input to the heating element, taking into account parameters like convective, conductive energy exchanges, and thermal radiation
Implementation Method 3
A method using an energy model to calculate and adjust the energy input to the heating element, taking into account parameters like convective, conductive energy exchanges, and thermal radiation
Implementation Method 4
A method using an energy model to calculate and adjust the energy input to the heating element, taking into account parameters like convective, conductive energy exchanges, and thermal radiation
Data Source
AI summary
A method for heating an exhaust gas sensor, wherein the exhaust gas sensor comprises at least one heating element. The method comprises: a) providing an energy model of the exhaust gas sensor, wherein the energy model describes an energy input via an effective heater voltage of the heating element and a heater resistance of the heating element; b) determining an energy threshold; c) continuously calculating the energy input by means of the energy model, resulting in a calculated energy input; and d) heating the exhaust gas sensor by means of the heating element until the calculated energy input reaches the energy threshold.