Application Of Lab VIEW Based Multi-Channel Data Logger In Development Of Multistage Hybrid Air Conditioning System

  • Sandeep Shalgar et al.


In present environments there are drastic changes in the climate it is of no secret that the
earth is heating up with the usage of a massive amount of fossil fuels every day. This is resulted
by a large volume of CO2 emissions contributing to an increase in the greenhouse gases. In
automobiles hence air conditioning is essential feature for human thermal comfort required to
design and validate to standard set and norms. Validation in the automobile is done by mapping
the refrigerants and cabin air properties of which includes the temperatures, pressure and
humidity. For continuous monitoring the data loggers are mostly used powered by vehicle
battery. Commercially available data loggers are available for temperature, humidity and
pressure measurement but are not hitched vehicle battery and to a computer to acquire real-time
dynamic data. Also these universal data loggers are quite expensive and are inflexible for any
addition of sensors a relay control. High frequency data mapping for automobile robust
applications along with protection from higher vibrations and voltage spike protection. To
overcome these limitations, we describe to design and development, calibration, and
implementation of a 40-channel logging system using DVP 04TC for temperature measurement
and DVP 16SP for pressure and Humidity measurement along with 8trigerred OMRON relay
switch programmed by Lab VIEW. The output of acquisition system is mapped in MS-excel for
further data analysis. The developed system is calibrated with standard set conditions The
developed acquisition system is calibrated with standard set of conditions and percentage error
over operating pressure span found increasing and maximum at 20 bar to 28 bar as 0.312 bar.
In reverse pressure feed (40bar to 0 bar) maximum percentage error of 0.188 bar. Average
forward and reverse pressure feed (0bar to 40bar) error is -0.216 % and 0.136 % respectively.
The maximum error of 2.313% and minimum error of 0.562 % over humidity span is found. The
expected results of proposed air conditioning system attributes of automobiles are mapped
during experimentation and found useful.