Literature DB >> 29074027

An innovative HVAC control system: Implementation and testing in a vehicular cabin.

Miloš Fojtlín1, Jan Fišer2, Jan Pokorný2, Aleš Povalač3, Tomáš Urbanec3, Miroslav Jícha2.   

Abstract

Personal vehicles undergo rapid development in every imaginable way. However, a concept of managing a cabin thermal environment remains unchanged for decades. The only major improvement has been an automatic HVAC controller with one user's input - temperature. In this case, the temperature is often deceiving because of thermally asymmetric and dynamic nature of the cabins. As a result, the effects of convection and radiation on passengers are not captured in detail what also reduces the potential to meet thermal comfort expectations. Advanced methodologies are available to assess the cabin environment in a fine resolution (e.g. ISO 14505:2006), but these are used mostly in laboratory conditions. The novel idea of this work is to integrate equivalent temperature sensors into a vehicular cabin in proximity of an occupant. Spatial distribution of the sensors is expected to provide detailed information about the local environment that can be used for personalised, comfort driven HVAC control. The focus of the work is to compare results given by the implemented system and a Newton type thermal manikin. Three different ambient settings were examined in a climate chamber. Finally, the results were compared and a good match of equivalent temperatures was found.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Equivalent temperature; Thermal comfort; Thermal manikin; Vehicular cabin

Mesh:

Year:  2017        PMID: 29074027     DOI: 10.1016/j.jtherbio.2017.04.002

Source DB:  PubMed          Journal:  J Therm Biol        ISSN: 0306-4565            Impact factor:   2.902


  1 in total

1.  Determination of car seat contact area for personalised thermal sensation modelling.

Authors:  Miloš Fojtlín; Agnes Psikuta; Róbert Toma; Jan Fišer; Miroslav Jícha
Journal:  PLoS One       Date:  2018-12-11       Impact factor: 3.240

  1 in total

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