Lino Guzzella has been a full professor at ETH Zurich, Switzerland since 1999. After receiving his mechanical engineering diploma in 1981 and his doctoral degree in 1986, both from ETH, he has held several positions in industry and academia.
With his research group he focuses on novel approaches in system dynamics and in the control of energy conversion systems. Control-oriented systems modeling, dynamic optimization, and feedback control design methods are his main areas of research. He places a particular emphasis on the minimization of fuel consumption and pollutant emission of automotive propulsion systems. In teaching, he has been successfully promoting project- and team-based learning approaches. Among the awards he received are the IEEE Control Systems Magazine Outstanding Paper Award, the SAE Arch T. Colwell Merit Award and the Ralph R. Teetor Educational Award, the IMechE Thomas Hawksley Medal and Crompton Lancaster Medal, and the Energy Globe Award. Lino Guzzella has published more than 100 research articles as well as two research textbooks (Modeling and Control of IC Engine Systems, Springer Verlag, 2004, and Vehicle Propulsion Systems, 2nd Ed., Springer Verlag, 2007). He is a consultant to several tier-one automotive companies and holds several patents on automotive control systems.
Individual mobility is closely linked to the welfare of any society. Not surprisingly, the number of automobiles has been inexorably increasing and is likely to double in the next twenty years. Clearly, this development creates many benefits and economic opportunities, but also many problems, such as air pollution, traffic fatalities, increased energy consumption and carbon dioxide emission.
In this talk the relevance of these problems will be prioritized and some of the most likely technological solutions will be presented. One key point is that in most – if not all – of these approaches automatic control systems will be an enabling factor, without which no true breakthroughs are possible. After these rather general remarks, the following some examples will be presented to show what typical problem setups are to be faced and what methods are to be used to tackle these problems.