Vehicle Glazed Unit Condensation Control With Predictive HVAC
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Solution Overview
Problem
Existing methods for managing condensation on vehicle glazed units, such as windshields, often prioritize defogging over thermal comfort, leading to energy inefficiency and unreliable condensation control, especially in vehicles with automatic HVAC systems.
Innovation Solution
A predictive model-based control system that uses signals from temperature and humidity sensors to proactively regulate condensation on glazed units by optimizing the use of heating and air conditioning systems, considering external disturbances and optimizing energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the HVAC system is used to manage condensation risk on the windshield, then condensation control is improved, but thermal comfort deteriorates and energy consumption increases
Solution Approach 1:
The system performs preliminary action by predicting future condensation risk using a predictive model that processes current sensor data (temperature, humidity, vehicle speed, external conditions) to anticipate condensation formation before it occurs. This allows the system to activate heating or HVAC adjustments proactively, preventing condensation rather than reacting to it, thereby avoiding the need for intensive energy-consuming defogging operations later.
Solution Approach 2:
The system implements feedback by continuously monitoring sensor data from the passenger compartment (temperature, humidity) and vehicle operation (speed, position), feeding this information into the predictive model. The model's predictions are compared against actual conditions, and the system adjusts heating or HVAC settings dynamically based on this closed-loop feedback, optimizing energy usage while maintaining effective condensation control.
2Extent of automation
If traditional PID regulation is used for automatic condensation control, then automation is achieved, but measurement precision and regulation reliability deteriorate
Solution Approach 1:
The system applies parameter changes by transitioning from traditional PID regulation parameters (proportional, integral, derivative coefficients) to predictive model parameters that incorporate multiple physical factors: temperature, humidity, vehicle speed, position, external temperature, and solar radiation. This multi-parameter approach provides a more accurate representation of condensation risk by considering the actual physical conditions that lead to condensation, rather than relying on simplified error-based adjustments.
Solution Approach 2:
The system substitutes the mechanical PID control system with a predictive modeling approach that uses sensor data and environmental factors to directly calculate condensation risk. This replacement transitions from a reactive control mechanism (adjusting based on current error) to a predictive mechanism (calculating future risk based on physical laws and current conditions), improving measurement precision of condensation risk evaluation.
3Ease of operation
If the windshield heating means are controlled by an on/off switch, then ease of operation is improved, but reliability of condensation management deteriorates
Solution Approach 1:
The system applies self-service by enabling the vehicle's climate control system to automatically manage windshield heating without requiring direct user intervention. The predictive model continuously assesses condensation risk and automatically activates or deactivates heating means based on predicted conditions, allowing the system to serve itself in managing condensation. This maintains ease of operation while dramatically improving reliability through continuous automated monitoring and adjustment.
4Reliability
If the HVAC system prioritizes condensation management over thermal comfort, then condensation control is improved, but thermal comfort deteriorates
Solution Approach 1:
The system applies partial action by selectively activating heating or HVAC adjustments only when and where needed to prevent condensation, rather than applying full HVAC power throughout the passenger compartment. The predictive model identifies specific conditions and locations at risk of condensation, and the system applies minimal necessary heating or airflow adjustments to those areas, maintaining thermal comfort in the rest of the cabin while still preventing condensation effectively.
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 provides precise and efficient condensation management, minimizing energy waste and ensuring optimal thermal comfort and safety by anticipating and adjusting to changing conditions.
Implementation Method 1
resistive elements of the metal wire or strip type, heating interlayer of a laminated glazed unit
Implementation Method 2
managing the risk of moisture condensation, and therefore a fortiori the presence of condensation, on the inner surface of the windshield
Implementation Method 3
a climate control system, also called an HVAC system (which stands for 'Heating, Ventilation and Air Conditioning') making it possible to heat, cool and ventilate the air circulating within the passenger compartment
Data Source
AI summary
A method for regulating the presence of condensation on the inner surface of at least one glazed unit of a vehicle includes a control loop including obtaining at least one signal, referred to as a control signal, associated with a quantity and including past values and a current value of the quantity, a risk of moisture condensation on the inner surface of the at least one glazed unit that may be determined from the at least one quantity, determining, using the at least one control signal, a predictive command for at least one actuator of the vehicle so as to maintain or lower the risk below a threshold value, transmitting the predictive command to the at least one actuator.