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DTSTAMP:20240902T163859Z
UID:3284B030-5D4B-462B-BDFC-999E4833508D
DTSTART;TZID=Europe/Prague:20240722T093000
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DESCRIPTION:One day visit of prof. Josko Deur from the Department of Roboti
 cs and Automation of Manufacturing Systems\, Faculty of Mechanical Enginee
 ring and Naval Architecture\, University of Zagreb\, Croatia\, to the Smar
 t Driving Solutions research group at the Department of Control Engineerin
 g\, FEE\, CTU in Prague to discuss research collaboration in the field of 
 autonomous vehicle driving. These efforts are to be funded by applying to 
 European project calls\; different funding schemes will also be discussed.
 \n\nMoreover\, prof. Josko Deur will deliver a lecture titled\n\nTitle: En
 ergy-efficient Straight-line Driving Torque Vectoring for Electric Vehicle
 s with Multiple Motors and Disconnect Clutches\n\nwith the following abstr
 act:\n\nAbstract: Battery electric vehicles with multiple motors are chara
 cterized by actuator redundancy\, which calls for application of instantan
 eously optimized distribution of motor/wheel torques\, thus minimizing the
  energy consumption\, i.e.\, maximizing the vehicle range. If the e-motors
  are equipped with disconnect clutches\, the energy saving potential becom
 es even higher due to the avoidance of drag of inactive e-motors. However\
 , dynamic optimization and predictive control techniques should be used in
  that case to provide globally minimal energy consumption. To this end\, t
 he lecture presents the following front/rear torque vectoring modeling\, o
 ptimization\, and control methods: (i) a dynamic backward-looking vehicle 
 model that takes into account the clutching transient losses \; (ii) globa
 lly optimal\, dynamic programming (DP)-based off-line optimization of e-mo
 tor torque and clutch state control trajectories\, (iii) a parameter-optim
 ized rule-based (RB) torque vectoring control strategy\, and (iv) a model 
 predictive torque vectoring control (MPC) strategy. The control strategies
  are verified by simulation for various certification driving cycles\, and
  the results are compared with the DP-optimal benchmark for different valu
 es of a user-defined weighting coefficient\, which penalizes frequent clut
 ch disconnects for improved durability. The DP optimization results reveal
  that the energy consumption reduction achieved through the disconnect clu
 tch functionality is up to 7%\, on top of up to 5% reduction achieved by t
 orque distribution itself. The RB and MPC control strategies approach the 
 DP energy consumption benchmark within the margin of 1.3% and 0.6%\, respe
 ctively.\n\nSpeaker(s): Tomáš Haniš\, Josko Deur\n\nAgenda: \nVisit Age
 nda\n\n9:30 am - 10 am: Welcome and introduction.\n\n10 am - 11 am: Lectur
 e by prof. Josko Deur\, 45 mins of presentation\, followed by 15 mins of q
 uestions.\n\n11:15 am - 12 pm: An Overview of prof. Tomas Hanis&#39; research 
 background and ongoing projects/activities at the CTU Prague\n\n12 pm - 12
 :45 pm: An Overview of Recent Automotive Control Activities at the Univers
 ity of Zagreb (by prof. Josko Deur\, 45 minutes)\n\n1 pm - 2:30 pm: Lunch\
 n\n2:30 pm - 3:30 pm: Lab tour\n\n3:30 pm - 4:30 pm: Detailed discussion o
 n GACR-HRZZ and Horizon Europe project application opportunities and relat
 ed research topics of mutual interest (prof. Tomas Hanis and prof. Josko D
 eur).\n\nRoom: KN:E-14\, Bldg: E\, Karlovo náměstí 13\, Praha 2\, Pragu
 e\, Czech Republic\, Czech Republic\, 120 00 
LOCATION:Room: KN:E-14\, Bldg: E\, Karlovo náměstí 13\, Praha 2\, Prague
 \, Czech Republic\, Czech Republic\, 120 00 
ORGANIZER:hengskri@fel.cvut.cz
SEQUENCE:33
SUMMARY:CTU Prague-University of Zagreb Collaboration Meeting
URL;VALUE=URI:https://events.vtools.ieee.org/m/426967
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;One day visit of prof. Josko Deur from the
  &lt;span class=&quot;smallTmln-timeline-el__sazetak&quot;&gt;Department of Robotics and A
 utomation of Manufacturing Systems\,&lt;/span&gt; Faculty of Mechanical Engineer
 ing and Naval Architecture\, University of Zagreb\, Croatia\, to the Smart
  Driving Solutions research group at the Department of Control Engineering
 \, FEE\, CTU in Prague to discuss research collaboration in the field of a
 utonomous vehicle driving. These efforts are to be funded by applying to E
 uropean project calls\; different funding schemes will also be discussed.&lt;
 /p&gt;\n&lt;p&gt;Moreover\, prof. Josko Deur will deliver a lecture titled&lt;/p&gt;\n&lt;p 
 class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;Title: Energy-effic
 ient Straight-line Driving Torque Vectoring for Electric Vehicles with Mul
 tiple Motors and Disconnect Clutches&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNor
 mal&quot;&gt;&lt;span style=&quot;color: black\;&quot;&gt;with the following abstract:&lt;/span&gt;&lt;/p&gt;\
 n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;Abstract:&lt;/span
 &gt;&lt;/strong&gt; &lt;span style=&quot;color: black\;&quot;&gt;Battery electric vehicles with mul
 tiple motors are characterized by actuator redundancy\, which calls for ap
 plication of instantaneously optimized distribution of motor/wheel torques
 \, thus minimizing the energy consumption\, i.e.\, maximizing the vehicle 
 range. If the e-motors are equipped with disconnect clutches\, the energy 
 saving potential becomes even higher due to the avoidance of drag of inact
 ive e-motors. However\, dynamic optimization and predictive control techni
 ques should be used in that case&amp;nbsp\;to provide globally minimal energy 
 consumption. To this end\, the lecture presents the following front/rear t
 orque vectoring modeling\, optimization\, and control methods: (i) a dynam
 ic backward-looking vehicle model that takes into account the clutching tr
 ansient losses \; (ii) globally optimal\, dynamic programming (DP)-based o
 ff-line optimization of e-motor torque and clutch state control trajectori
 es\, (iii) a parameter-optimized rule-based (RB) torque vectoring control 
 strategy\, and (iv) a model predictive torque vectoring control (MPC) stra
 tegy. The control strategies are verified by simulation for various certif
 ication driving cycles\, and the results are compared with the DP-optimal 
 benchmark for different values of a user-defined weighting coefficient\, w
 hich penalizes frequent clutch disconnects for improved durability. The DP
  optimization results reveal that the energy consumption reduction achieve
 d through the disconnect clutch functionality is up to 7%\, on top of up t
 o 5% reduction achieved by torque distribution itself. The RB and MPC cont
 rol strategies approach the DP energy consumption benchmark within the mar
 gin of 1.3% and 0.6%\, respectively.&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;
 p class=&quot;MsoNormal&quot; style=&quot;text-align: center\;&quot;&gt;&lt;span style=&quot;color: black
 \;&quot;&gt;&lt;strong&gt;Visit Agenda&lt;/strong&gt;&lt;br&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;st
 rong&gt;&lt;span style=&quot;color: black\;&quot;&gt;9:30 am - 10 am&lt;/span&gt;&lt;/strong&gt;&lt;span sty
 le=&quot;color: black\;&quot;&gt;: Welcome and introduction.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoN
 ormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;10 am - 11 am&lt;/span&gt;&lt;/strong&gt;&lt;
 span style=&quot;color: black\;&quot;&gt;: Lecture by prof. Josko Deur\, 45 mins of pre
 sentation\, followed by 15 mins of questions.&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNor
 mal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;11:15 am - 12 pm&lt;/span&gt;&lt;/strong&gt;
 &lt;span style=&quot;color: black\;&quot;&gt;: An Overview of prof. Tomas Hanis&#39; research 
 background and ongoing projects/activities at the CTU Prague&lt;/span&gt;&lt;/p&gt;\n&lt;
 p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;12 pm - 12:45 pm&lt;
 /span&gt;&lt;/strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;: An Overview of Recent Automo
 tive Control Activities at the University of Zagreb (by prof. Josko Deur\,
  45 minutes)&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;color: 
 black\;&quot;&gt;1 pm - 2:30 pm&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;: Lunc
 h&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;2:
 30 pm - 3:30 pm&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;: Lab tour&lt;/sp
 an&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;3:30 pm
  - 4:30 pm&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;color: black\;&quot;&gt;: Detailed discussi
 on on GACR-HRZZ and Horizon Europe project application opportunities and r
 elated research topics of mutual interest (prof. Tomas Hanis and prof. Jos
 ko Deur).&lt;/span&gt;&lt;/p&gt;
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