Vehicle Propulsion Systems Introduction Team • Chris Onder onder@ethz.ch ML K37.2, +41 44 63 2 2466 • Philipp Elbert elbertp@ethz.ch ML K39, +41 44 63 2 7316 • Andreas Ritter anritter@idsc.mavt.ethz.ch ML K39, +41 44 63 2 8066 Course Website www.idsc.ethz.ch Education Lectures VPS Slides, exercises, solutions, announcements,… Textbook L. Guzzella, A. Sciarretta Vehicle Propulsion Systems Introduction to Modeling and Optimization Third Edition, 2013 Springer ISBN 978-3-642-35912-5 Oral Exams • Oral exam in „Prüfungssession“ • 30 minutes, no notes • Questions very similar to the ones discussed in the lecture • BSc & MSc students receive a grade • PhD students need to pass the exam, but do not receive a grade Relevant Material • All material presented in the lectures is relevant for the exam. • Chapters that have not been covered in the lecture are not relevant for the exam. • Check the Course Webpage for an exhaustive list. How to benefit from lecture • • • • • • Focus on comprehension, not memorization Ask questions during lecture Participate in discussions Team up to solve quick checks Don’t be afraid of errors/mistakes Practice verbalization of knowledge Evaluation • Do not forget to participate in the evaluation of this course: Learning Goal + − Teacher Lecture Problems Evaluation Students Learned material Exercise Lecture • Location: CNH E46 • Time: Every Friday 12:00 to 13:30 Mode of Exercises • • • • • • • no standard calculation tasks rather vaguely described tasks many unknowns assumptions necessary several solutions possible similar to “real” engineering work work in teams → distribute work One exercise lasts ~2-3 weeks Every week we check your progress via a milestone After 2-3 weeks: each group presents own solution in a 5 min presentation Planning of Lectures and Exercises: Week Lecture, Friday, 8:15-10:00, ML F34 Book chp. Exercise , Friday, 12:00-13:30, CHN E46 38, 23.9.2016 Introduction, goals, overview propulsion systems and options 1 Introduction 39, 30.9.2016 Fuel consumption prediction I 2 Exercise I, Milestone 1 40, 7.10.2016 Fuel consumption prediction II 2 Exercise I, Milestone 2 41, 14.10.2016 IC engine propulsion systems I 3 Exercise I, Presentation 42, 21.10.2016 IC engine propulsion systems II 3 Exercise II, Milestone 1 43, 28.10.2016 Hybrid electric propulsion systems I 4 Exercise II, Milestone 2 44, 4.11.2016 Hybrid electric propulsion systems II 4 Exercise II, Presentation 45, 11.11.2016 Hybrid electric propulsion systems III 4 Exercise III, Milestone 1 46, 18.11.2016 Non-electric hybrid propulsion systems 5 Exercise III, Milestone 2 47, 25.11.2016 Supervisory Control Algorithms I 7 Exercise III, Presentation 48, 2.12.2016 Optimal Control Theory 49, 9.12.2016 Supervisory Control Algorithms II 50, 16.12.2016 Case Study 51, 23.12.2016 Tutorial Lecture, Q & A App.I&II Exercise IV, Milestone 1 7 Exercise IV, Milestone 2 Exercise IV, Presentation Vehicle Density (2015) 900 USA 800 Autos pro 1000 Einwohner 700 Italien Japan 600 Polen Deutschland Schweiz Frankreich 500 Korea 400 Russland 300 Brasilien BRICS 200 China 100 Indien 0 0 10 Source: Wikipedia 20 30 40 BIP (PPP) pro Kopf in k$ 50 60 70 Vehicle Production (2014) Automobilproduktion 25 China Deutschland Indien Japan USA Fahrzeuge in Mio. 20 15 10 5 0 2000 2002 2004 2006 2008 2010 2012 2014 Quelle: International Organization of Motor Vehicle Manufacturers Source: International Organization of Motor Vehicle Manufacturers Greenhouse Gas Emissions (2005) Transportation is responsible for ~15% of the total GHG emissions. Source: Wikimedia Commons Future? warmgloblog.blogspot.com What can we do? Plan of Action Basic research Specific research Industry collaboration Education Product develop ment Air-to-fuel ratio control Gasoline Engines: 3-way catalyst requires precise metering of air and fuel: Control algorithm developed at IDSC is running on >1mio vehicles Zürich NO2 Concentration 1991 2001 2011 𝑐𝑁𝑂2 = µg/m3 Limit for yearly average Quelle: Umwelt- und Gesundheitsschutz Zürich (UGZ) 19 Zürich Particulate Matter 1991 2001 2011 𝑐pm10 = µg/m3 Limit for yearly average Quelle: Umwelt- und Gesundheitsschutz Zürich (UGZ) 20 Predictive Control of a Hybrid Vehicle energy loss altitude profile & battery energy standard control predictive control distance PAC-Car II The worlds most fuel efficient vehicle: 5385 km/l gasoline equiv. AHEAD 10 5 0 15 SORT 1 35 SORT 2 Simulation HESS Hybrid Dieselbus Simulation HESS Hybrid Dieselbus Treibstoffverbrauch in l/100km 45 -27.5% 40 -22.6% 30 25 20 Optimale Lösung Fuel Consumption Comparison 50 SwissTrolley+ Battery-assisted trolley bus: Reduce grid maintenance cost Extend bus lines Reduce energy demand by 15% Formula Electric Acceleration: 0-100 in under 2 seconds Endurance: minimize finish time with constrained energy budget Formula One • F1 powertrain = hybrid electric • Find time-optimal energy management strategies Diesel-Ignited Natural Gas Engine Natural gas contains less carbon per unit energy. -> lower CO2 emissions Diesel Engine Exhaust Aftertreatment Diesel-engines still have a large market share, and are necessary for heavy duty applications. Optimal control and calibration of SCRSystems Emission Strategies for Diesel Engines Best Trade-off between emissions and fuel consumption. Methods Systematic Methods from • Control Systems Engineering – Feedback Control – Disturbance rejection – Stability, Robustness • Optimization – – – – – Feedforward Control Predictive Control Learning Control Offline / Online …. Criterion Optimal Feedforward Control 𝑒 𝑦ref + − 𝑢𝐹𝐹 Feedback Control 𝑢𝐹𝐵 + + 𝑢 𝑦 Plant Future Scenarios • It is difficult to make predictions, especially about the future Motivation cars per 1000 inhabitants Vehicle density (2005) 800 USA I 600 F D J UK 400 Poland Russia Korea 200 India Brazil China GDP per capita (US $) 10000 20000 30000 40000 Source: OECD/IEA (2006) H.E. Friedrich, Market Shares of Various Powertrains, Scenarios Till 2030, DLR Stuttgart, ATZ autotechnology 04/2010 volume 10 H.E. Friedrich, Market Shares of Various Powertrains, Scenarios Till 2030, DLR Stuttgart, ATZ autotechnology 04/2010 volume 10 H.E. Friedrich, Market Shares of Various Powertrains, Scenarios Till 2030, DLR Stuttgart, ATZ autotechnology 04/2010 volume 10 Energy carrier system Energy carrier Upstream processes