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On energy management in hybrid electric vehicles

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Abstract:
The talk will outline some current activities within the Swedish Hybrid Vehicle Center, a national research center that organizes research between Swedish automotive industry and academia. More specifically, some studies on the energy management problem in HEVs will be described. Dynamic programming is a widespread tool for optimization of the energy management of hybrid electric vehicles (HEVs). The application of DP on well-defined driving cycles can serve as useful benchmarking examples, but the solutions suffer from being inherently non-causal, computationally demanding and sometimes too tailored to specific driving patterns. They therefore need to be modified to be applicable in real-time. Several studies have been conducted, where DP still forms the core of the energy management algorithm, but has been complemented with various techniques to include in an explicit way statistical information and on-line, predictive information about the driving pattern. In this talk we will describe a few attempts to do this, ranging from simple models with analytic solutions to more complex models tailored for application to city buses driving along routes equipped with statistical information.

Type of Seminar:
Public Seminar
Speaker:
Prof. Bo Egardt
Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden
Date/Time:
Aug 21, 2009   11.15 a.m.
Location:

ETH Zentrum, building ML, room E 13, Sonneggstrasse 3
Contact Person:

Lino Guzzella
No downloadable files available.
Biographical Sketch:
Bo Egardt received the M.Sc. degree in electrical engineering in 1974, and the Ph.D. degree in automatic control in 1979, both from Lund Institute of Technology. He held post-doc positions at Lund Inst of Technology and at Stanford University. From 1981 to 1989, he was with ABB, where he was involved in the introduction of adaptive control in the process industry. In 1989, he was appointed Professor of Control Engineering at Chalmers University of Technology. His main areas of interest include adaptive and hybrid control and applications of control in the automotive area. He has been involved in many research projects with close collaboration with industry, and has spent periods as visiting professor at several European and American universities. He has been an Associate Editor of IEEE Transactions on Control Systems Technology and of the European Journal of Control. He is a member of the editorial board for the International Journal of Adaptive Control and Signal Processing. Egardt is a member of the Royal Swedish Academy of Engineering Sciences and a Fellow of the IEEE.