Vehicle Wiper Control Mechanism for Snow Refreezing Prevention
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Solution Overview
Problem
Existing window wiping systems for vehicles fail to predict and prevent the refreezing of meltable snow on vehicle windows, leading to delayed detection and freezing of wiper mechanisms.
Innovation Solution
A system comprising a wiper arm, sensors, and a processor that gather and analyze environmental and vehicle parameters to determine refreezability, enabling proactive wiper activation or using a blower to cool the window to prevent melting, and a heating element to prevent deposition of refreezable-meltable snow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a moisture sensor is used to detect presence of moisture on the window, then the window wiper can be activated in response to moisture detection, but there is a delay in detection and the ice may have refrozen causing freezing of the window wiper
Solution Approach 1:
The system performs preliminary action by predicting refreezing of meltable snow before it actually occurs. The processor analyzes parameters such as ambient temperature, window temperature, and snow characteristics to determine refreezability, then activates the wiper assembly in advance before the snow refreezes and causes wiper freezing. This proactive approach eliminates the detection delay inherent in reactive moisture sensing systems.
2Object-affected harmful factors
If a heat source or defrosting device is used to remove snow and ice from the window, then the window temperature increases preventing ice formation and melting existing ice, but the ice may refreeze after the defrosting devices are deactivated
Solution Approach 1:
The system applies preliminary action by predicting refreezing events before they occur. The processor monitors temperature parameters and snow characteristics to anticipate refreezing, then activates the wiper assembly proactively to remove meltable snow before it refreezes on the window. This prevents the cycle of ice formation and refreezing that plagues traditional defrosting-only systems.
Solution Approach 2:
The system substitutes mechanical/thermal action (defrosting devices) with intelligent predictive control. Instead of relying solely on thermal energy to prevent and remove ice, the system uses sensor data and processor-based prediction to determine refreezability, then applies mechanical wiping action at the optimal time. This replaces the passive thermal management approach with an active, intelligence-driven system.
3Reliability
If two additional sensors (ignition sensor and window temperature sensor) are provided to enable ice melting after vehicle shut-down, then the window wiper assembly can be activated based on sensor signals, but the system cannot predict refreezability of meltable snow leading to delay in detection and wiper freezing
Solution Approach 1:
The system applies universality by designing a processor that performs multiple functions: it processes data from various sensors (moisture, temperature, ignition), predicts refreezing events, determines optimal wiper activation timing, and controls wiper operation. This multi-functional approach consolidates what would otherwise require separate dedicated systems into a single intelligent controller, managing complexity while enhancing capability.
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
The system effectively reduces refreezing and deposition of meltable snow on vehicle windows, ensuring continuous visibility by anticipating and addressing the refreezing issue before it occurs.
Implementation Method 1
actuating a heating element to sufficiently heat the window, the sufficiently heating preventing the deposition of the refreezable-meltable snow
Implementation Method 2
actuating a blower to sufficiently cool the window, the sufficiently cooling preventing the melting of the refreezable-meltable snow
Data Source
AI summary
An arrangement to reduce refreezing of meltable snow includes a wiper arm configured to wipe the meltable snow from an ambient-facing surface of a window positioned on a vehicle. The arrangement also includes a sensor coupled to the wiper arm that is configured to gather and transmit a parameter on the vehicle and environment. The arrangement also includes a processor that is configured to receiving the parameter, determining refreezability of the meltable snow based on the parameter, and defining an action to be performed by the wiper arm.