Integrated Numerical Modeling Process for Evaluating Automobile Climate Control Systems

2002 ◽  
Author(s):  
John Rugh
Keyword(s):  
Numerical Modeling ◽  
Control Systems ◽  
Climate Control ◽  
Modeling Process

The Influence of In-Vehicle Noise on Speech Recognition for Automotive Voice-Activated Control Systems

2002 ◽  
Vol 33 (9) ◽  
pp. 19-23
Author(s):  
By Dave G. Fish
Keyword(s):  
Speech Recognition ◽  
Control Systems ◽  
Convenient Method ◽  
Vehicle Control ◽  
Climate Control ◽  
High Demand ◽  
Vehicle Noise ◽  
Control Functions ◽  
Wide Range ◽  
Vehicle Systems

Voice activation provides a safe and convenient method of controlling vehicle systems such as in-car entertainment, telecommunications and climate control. In the fullness of time it is likely that there will be a high demand across all vehicle classes for such systems for a wide range of vehicle control functions. One of the challenges facing their development and introduction into vehicles is that of the in-vehicle noise environment.

Analytical determination of cars CO2 emissions with different types of climate control systems

2021 ◽  
Author(s):  
Georgi Kadikyanov ◽  
Zhivko Kolev ◽  
Seher Kadirova ◽  
Gergana Staneva ◽  
Daniel Lyubenov
Keyword(s):  
Control Systems ◽  
Co2 Emissions ◽  
Analytical Determination ◽  
Climate Control ◽  
Different Types

scholarly journals Advice Provision for Energy Saving in Automobile Climate-Control System

AI Magazine ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 61-72 ◽  
Author(s):  
Amos Azaria ◽  
Ariel Rosenfeld ◽  
Sarit Kraus ◽  
Claudia V. Goldman ◽  
Omer Tsimhoni
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Control Systems ◽  
Control Unit ◽  
Comfort Level ◽  
Environmental Footprint ◽  
Climate Control ◽  
Electric Car ◽  
Save Energy ◽  
High Level

Reducing energy consumption of climate control systems is important in order to reduce human environmental footprint. The need to save energy becomes even greater when considering an electric car, since heavy use of the climate control system may exhaust the battery. In this article we consider a method for an automated agent to provide advice to drivers which will motivate them to reduce the energy consumption of their climate control unit. Our approach takes into account both the energy consumption of the climate control system and the expected comfort level of the driver. We therefore build two models, one for assessing the energy consumption of the climate control system as a function of the system’s settings, and the other, models human comfort level as a function of the climate control system’s settings. Using these models, the agent provides advice to the driver considering how to set the climate control system. The agent advises settings which try to preserve a high level of comfort while consuming as little energy as possible. We empirically show that drivers equipped with our agent which provides them with advice significantly save energy as compared to drivers not equipped with our agent.

Numerical modeling of particle deposition in the environmental control systems of commercial airliners on ground

2016 ◽  
Vol 10 (2) ◽  
pp. 265-275 ◽  
Author(s):  
Yudi Liu ◽  
Qing Cao ◽  
Wei Liu ◽  
Chao-Hsin Lin ◽  
Daniel Wei ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Control Systems ◽  
Particle Deposition ◽  
Environmental Control
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