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 ...
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Lund University<br />
Department <strong>of</strong> <strong>Automatic</strong> <strong>Control</strong><br />
Box 118<br />
SE-221 00 Lund Sweden<br />
Author(s)<br />
Matthias Busl<br />
Document name<br />
MASTER THESIS<br />
Date <strong>of</strong> issue<br />
June 2011<br />
Document Number<br />
ISRN LUTFD2/TFRT--5882--SE<br />
Supervisor<br />
M<strong>an</strong>uel Lorents Technische Universität München,<br />
Germ<strong>an</strong>y.<br />
Tore Hägglund <strong>Automatic</strong> <strong>Control</strong> Lund, Sweden<br />
(Examiner)<br />
Sponsoring org<strong>an</strong>ization<br />
Title <strong>an</strong>d subtitle<br />
<strong>Design</strong> <strong>of</strong> <strong>an</strong> <strong>Energy</strong>-<strong>Efficient</strong> Climate <strong>Control</strong> <strong>Algorithm</strong> <strong>for</strong> Electric Cars (<strong>Design</strong> av en energieffektiv<br />
klimatregleringsmetod för elektriska bilar)<br />
Abstract<br />
A climatisation controller <strong>for</strong> a car with multiple objectives is developed, implemented<br />
<strong>an</strong>d tested in simulations. The design focuses on electric cars <strong>an</strong>d their specific<br />
characteristics. In this context the goal has been to fulfil common com<strong>for</strong>t <strong>an</strong>d safety<br />
st<strong>an</strong>dards while having a low energy consumption. The main idea <strong>of</strong> the control in order<br />
to achieve this is to use a simplified model predictive control scheme to find the best<br />
compromise between those objectives. A special evolutionary algorithm <strong>an</strong>d a simplified<br />
system model are developed <strong>for</strong> this purpose. Another feature <strong>of</strong> the control design is<br />
adaption <strong>of</strong> disturb<strong>an</strong>ce terms in this model based on their estimation. As interface to<br />
the hardware a second controller is introduced. The approach has been implemented <strong>for</strong><br />
the electric car MUTE which is currently developed at the TU München. This<br />
implementation was verified to work with the available hardware <strong>an</strong>d tested using a<br />
thermal car interior simulation model.<br />
Keywords<br />
Classification system <strong>an</strong>d/or index terms (if <strong>an</strong>y)<br />
Supplementary bibliographical in<strong>for</strong>mation<br />
ISSN <strong>an</strong>d key title<br />
0280-5316<br />
L<strong>an</strong>guage<br />
English<br />
Security classification<br />
Number <strong>of</strong> pages<br />
184<br />
http://www.control.lth.se/publications/<br />
Recipient’s notes<br />
ISBN
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