Design of an Automatic Control Algorithm for Energy-Efficient ...
Design of an Automatic Control Algorithm for Energy-Efficient ...
Design of an Automatic Control Algorithm for Energy-Efficient ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
8 System <strong>an</strong>d functionality integration 89<br />
Table 8.2: An overview <strong>of</strong> the objectives with parameter examples.<br />
Objective Scaling Priority Weight Limit<br />
Fogging affinity linear, ���� 3 3 230<br />
Thermal com<strong>for</strong>t PPD 1 2 254<br />
Air speed com<strong>for</strong>t linear 1 1 255<br />
Humidity com<strong>for</strong>t linear 1 1 255<br />
Air quality neg. quadratic 2 2 250<br />
Power consumption (electric) linear, ���� 1 1 255<br />
Power consumption (fuel) linear, � ����������� 1 0.2 255<br />
Min. inlet temperature (constr.) linear 4 0 0<br />
Max. inlet temperature (constr.) linear 4 0 0<br />
Min. inlet humidity (constr.) linear 4 0 0<br />
Max. electric power (constr.) linear 4 0 0<br />
Cold air prevention limit (constr.) linear 4 0 0<br />
quality, have the highest priority. The others are regarded as equal.<br />
The weights determine the position <strong>of</strong> the control solution on <strong>an</strong> imaginary pareto<br />
front. A high value, <strong>for</strong> example on the fuel power consumption objective, will lead to<br />
quite a cold experience in winter. There<strong>for</strong>e, a trade-<strong>of</strong>f has to be found <strong>an</strong>d tuned to fit<br />
the desired behaviour. In the exemplary values shown here, passenger related values are<br />
regarded as most import<strong>an</strong>t.<br />
settings.<br />
As <strong>for</strong> the boundaries these values c<strong>an</strong> also be ch<strong>an</strong>ged online through control<br />
8.4 User control<br />
The passenger has to be able to adapt the states <strong>of</strong> the cabin air, the temperature <strong>an</strong>d the<br />
humidity, to the desired values. This is achieved indirectly by modifying the humidity ����<br />
<strong>for</strong> the humidity objective (cf. Section 8.1.4) <strong>an</strong>d the metabolism � <strong>for</strong> the temperature<br />
(cf. Section 8.1.2).<br />
The disadv<strong>an</strong>tage <strong>of</strong> this approach is that no direct resulting value c<strong>an</strong> be given<br />
<strong>for</strong> example no direct set-point temperature, which might be unfamiliar to some people.<br />
However, in today’s cars a set temperature will be modified already depending on the