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SUMMARY:Time-optimal Control of the Formula 1 Hybrid Electric Power Unit
DTSTART:20170509T101500
DTEND:20170509T111500
DTSTAMP:20260506T133037Z
UID:bb53f75296eace1dec6e33d644bc5f23888ed83f398a748ba2d75be5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Mauro Salazar\, Institute for Dynamic Systems and Control\, ET
 H Zürich\nAbstract: In recent years\, the Formula 1 propulsion system has
  evolved from being a conventional combustion engine towards a highly inte
 grated hybrid electric powertrain. Since 2014 the vehicles have been equip
 ped with an electric motor for extra boosting and regenerative braking\, a
 nd an electrified turbocharger to improve the engine’s torque response a
 nd to recover waste heat from the exhaust gas. The powertrain is controlle
 d by a dedicated energy management system\, which significantly influences
  the vehicle’s acceleration performance as well as its fuel and electric
  energy consumption. Therefore\, the strategy must be carefully optimized.
 \nFirst\, we propose a computationally efficient method to evaluate the th
 eoretic\, optimal energy management strategy leading to the best possible 
 lap time. The proposed method allows parameter studies to be conducted wit
 hin a reasonable time frame of a few minutes\, while the optimization resu
 lts serve as a benchmark for any real-time energy management strategy ulti
 mately to be used during a real race.\nSubsequently\, we propose a real-ti
 me implementable energy management strategy minimizing the lap time\, by d
 eriving the optimal control policy analytically. Optimality of the propose
 d feedforward controller is verified by comparing the results obtained wit
 h a benchmark simulator against the global optimal solution\, while implem
 entability and compatibility with the regulations are demonstrated using a
  third-party high-fidelity nonlinear simulator.\nFinally\, in order to pro
 perly react to disturbances\, we introduce feedback\, using a two-level MP
 C scheme. The optimality of the presented controller is also verified with
  the benchmark simulator\, and its performance is finally tested on the th
 ird-party simulator of the race car under the presence of realistic distur
 bances.\n\nBio: Mauro Salazar was born in Zürich\, Switzerland\, and grew
  up in Lugano. He received the B.Sc. degree in mechanical engineering from
  ETH Zürich in 2013\, and the M.Sc. degree in mechanical engineering in 2
 015. He did his master thesis at EPFL with Prof. Colin Jones on the topic 
 Low Energy Control. He is currently pursuing a Ph.D. degree with the Insti
 tute for Dynamic Systems and Control\, ETH Zürich\, under the supervision
  of Prof. Chris Onder.\nHis current research interests include optimal con
 trol theory\, hybrid electric vehicles and model predictive control.\nHe r
 eceived the Outstanding Bachelor Award and the Excellence Scholarship and 
 Opportunity Award. His master thesis was awarded the ETH Medal.
LOCATION:ME C2 405 http://plan.epfl.ch/?request_locale=fr&room=MEC2405&dom
 ain=places
STATUS:CONFIRMED
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