Automotive Defogging System Using Combined Temperature Sensors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing defogging systems for automotive vehicles inaccurately predict fog occurrence due to reliance on surface or peripheral temperature alone, leading to unnecessary energy consumption and inefficient operation.
Innovation Solution
A defogging system that calculates dew point temperature using a combination of surface and peripheral temperatures, considering temperature distribution and air conditioning factors, to accurately predict fog occurrence and optimize system operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the defogging system operates early based on surface temperature or peripheral temperature alone, then the driver's view is secured by preventing fog occurrence, but excessive energy is consumed due to unnecessary early operation
Solution Approach 1:
The system performs preliminary fog detection by monitoring surface temperature and peripheral temperature separately, calculating dew point temperature in advance, and predicting fog occurrence time before actual fog forms. This allows the system to activate defogging operations only when necessary, avoiding premature energy consumption while maintaining reliable fog prevention.
Solution Approach 2:
The invention changes the parameter basis for fog detection from relying on a single temperature measurement (surface or peripheral) to using a combination of both surface temperature and peripheral temperature. By calculating dew point temperature based on these combined parameters and comparing it with actual surface temperature, the system achieves more accurate fog occurrence prediction, reducing unnecessary defogging operations and energy consumption.
2Loss of energy
If the defogging system operates late, then energy consumption is reduced by avoiding unnecessary operation, but the driver's view is compromised by delayed fog removal
Solution Approach 1:
The system continuously monitors surface temperature and peripheral temperature, calculates dew point temperature in real-time, and compares it with the actual surface temperature. This feedback mechanism allows the system to accurately predict fog occurrence time and adjust defogging operations dynamically, ensuring view security is maintained while minimizing energy consumption by avoiding both early and late operation.
3Device complexity
If the dew point temperature is calculated using only surface temperature or only peripheral temperature, then the calculation is simple, but the accuracy of fog occurrence prediction is insufficient
Solution Approach 1:
The invention merges the measurement of surface temperature and peripheral temperature into a unified dew point temperature calculation system. By combining these two temperature measurements and using them together to calculate dew point temperature, the system achieves higher prediction accuracy without introducing excessive complexity, as the calculation methodology remains straightforward while utilizing multiple input parameters.
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 reduces energy consumption by accurately predicting fog occurrence, minimizing unnecessary defogging system operation and improving fuel efficiency.
Implementation Method 1
a surface temperature sensor mounted at a wind shield glass of an automotive vehicle for detecting the surface temperature of the glass
Implementation Method 2
a humidity sensor mounted at a position spaced apart from the wind shield glass by a predetermined distance for detecting the humidity around the wind shield glass
Implementation Method 3
a peripheral temperature sensor mounted biasedly at the inside from the wind shield glass for detecting the peripheral temperature around the glass
Implementation Method 4
a controller for controlling a system by determining if the fog is occurred or not through comparing the dew point temperature with the surface temperature, after obtaining a dew point temperature by using a combination temperature and the humidity determined based on the temperature combination of the surface temperature sensor and the peripheral temperature sensor
Data Source
AI summary
A car defogging system reduces energy required to defog a windshield glass of the car. A temperature sensor mounted at the windshield glass detects the glass surface temperature, Ts. A humidity sensor spaced from the windshield glass by a predetermined distance detects the humidity, H, around the windshield glass. A temperature sensor mounted inside the windshield glass detects peripheral temperature Te around the glass. A system controller determines if fog is or is not present by comparing the dew point temperature Td with the surface temperature Ts. Dew point temperature Td is derived by the combining values of H and a temperature Tc based on a combination of Ts and Te.