G
Giorgio Rizzoni
Researcher at Center for Automotive Research
Publications - 458
Citations - 17067
Giorgio Rizzoni is an academic researcher from Center for Automotive Research. The author has contributed to research in topics: Electric vehicle & Energy management. The author has an hindex of 61, co-authored 444 publications receiving 15245 citations. Previous affiliations of Giorgio Rizzoni include Ohio State University & University of Michigan.
Papers
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Journal ArticleDOI
Fault Diagnosis for Electric Drive Systems of Electrified Vehicles Based on Structural Analysis
TL;DR: A systematic model-based diagnostic approach based on structural analysis for electric drive systems that can form the basis of OBD design for EVs, with specific focus on sensor fault diagnosis is developed.
Proceedings ArticleDOI
A Rule-Based Strategy for a Series/Parallel Hybrid Electric Vehicle: An Approach Based on Dynamic Programming
D. Bianchi,Luciano Rolando,Lorenzo Serrao,Simona Onori,Giorgio Rizzoni,Nazar Al-Khayat,Tung-Ming Hsieh,Pengju Kang +7 more
TL;DR: A possible methodology to extract rules from the dynamic programming solution to design an implementable rulebased strategy and the performance of the resulting rule-based strategy is studied and compared with the solution given by dynamic programming.
Journal ArticleDOI
Model-Based Fuel Optimal Control of Hybrid Electric Vehicle Using Variable Structure Control Systems
TL;DR: In this paper, a variable structure control that switches between two operating points is proposed, which is referred to as engine start-stop strategy, and theoretically proves that this duty-cycle operation mode is indeed optimal using Pontryagin's minimum principle.
Journal ArticleDOI
Multivariable control design for intake flow regulation of a diesel engine using sliding mode
TL;DR: In this paper, a multivariable controller for the VGT-EGR system for intake flow regulation is discussed, and the design is carried out under the sliding mode framework.
Proceedings ArticleDOI
Optimal control for Plug-in Hybrid Electric Vehicle applications
TL;DR: In this paper, a supervisory controller for plug-in hybrid electric vehicles (PHEVs) is proposed, based on the formulation of an optimal control problem that is solved by the Pontryagin's minimum principle to produce a solution that can be implemented on-line.