“Clear Vision” Automatic Windshield Defogging System

Wang, Mingyu; Urbank, Thomas M.; Sangwan, Karma V.

doi:10.4271/2004-01-1373

Cited by 10 publications

(5 citation statements)

References 5 publications

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“…More importantly, the dew point temperature is not equal to the temperature of the windshield began to fog. Therefore, we choose to measure the temperature on the windshield and inside the same point relative humidity and temperature of the three parameters, the simulation of neural network training methods to achieve the windshield fog state judgment [2] 。 Thus, the real need to measure the parameters of the three, the temperature of the windshield, inside temperature, inside a little relative humidity. Already mature sensor module can easily measure these three quantities, and by the HVAC system analysis and calculation.…”

Section: Windshield Fog Causes and Parameter Inputmentioning

confidence: 99%

Research of Automotive Glass Fog System Based on RBF Neural Network

Zhang

2012

AMR

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By describing a danger from driving vehicles with fog on windshield, we give a concept of a new type of automatic windshield defogging system applying traditional sensor and RBF neural networks. In terms of an analysis on the source of fogging on automatic windshield, applying traditional sensor, we design a RBF neural networks. Then, via RBF neural networks mode, training and testing 48 series of data from an experiment. A result of MATLAB software demonstrates that this new system defog from automatic windshield swiftly and precisely by applying RBF neural networks.

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Section: Windshield Fog Causes and Parameter Inputmentioning

confidence: 99%

Research of Automotive Glass Fog System Based on RBF Neural Network

Zhang

2012

AMR

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“…Fogging on a windshield of a vehicle occurs when the glass temperature falls below the dew point of air or the humidity in the cabin rises [1]. Fog forming on the windshield can hinder driving safety, and thus needs to be removed by a dehumidification process.…”

Section: Introductionmentioning

confidence: 99%

Performance characteristics of a dual-evaporator heat pump system for effective dehumidifying and heating of a cabin in electric vehicles

et al. 2015

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“…However, heat pump systems can only heat the air within the cabin, they cannot reduce the humidity. Consequently, the interior surface of the windshield readily fogs when the glass temperature falls below the dew point of the cabin air [24,25]. This seriously impairs driver visibility and thus represents a major road safety risk.…”

Section: Introductionmentioning

confidence: 99%

High-Efficiency HVAC System with Defog/Dehumidification Function for Electric Vehicles

Chang¹,

Sheu²,

Huang³

2020

Energies

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Electric vehicles (EVs) generally use an electric heating system to provide heat. However, the heating system consumes a large amount of energy, and therefore reduces the mileage of the vehicle. The energy consumption can be reduced by replacing the electric heating system with a heat pump air conditioning system. Such systems achieve an effective heating of the vehicle interior, but do not provide a defog or dehumidification function. Consequently, the inside surface of the windshield tends to fog in cold weather; leading to poor driver visibility and an impaired road safety. Accordingly, the present study proposes a novel high-efficiency heating, ventilation and air conditioning (HVAC) system with both heating and defog/dehumidification functions for electric vehicles. The effectiveness of the proposed system is investigated experimentally using a simulated cabin placed in a temperature and humidity-controlled test chamber. The experimental results confirm that the HVAC system achieves the required cooling, heating and defog/dehumidification functions and meets the corresponding standards. Moreover, the application of HVAC in EVs could lead to significant electrical power saving effect.

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“Clear Vision” Automatic Windshield Defogging System

Cited by 10 publications

References 5 publications

Research of Automotive Glass Fog System Based on RBF Neural Network

Research of Automotive Glass Fog System Based on RBF Neural Network

Performance characteristics of a dual-evaporator heat pump system for effective dehumidifying and heating of a cabin in electric vehicles

High-Efficiency HVAC System with Defog/Dehumidification Function for Electric Vehicles

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