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Hybrid and Electrified Vehicles
Author(s) -
Giorgio Rizzoni,
Huei Peng
Publication year - 2013
Publication title -
mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.117
H-Index - 17
eISSN - 1943-5649
pISSN - 0025-6501
DOI - 10.1115/1.2013-mar-5
Subject(s) - greenhouse gas , hybrid system , powertrain , automotive engineering , green vehicle , hybrid power , grid , control (management) , hybrid vehicle , miles per gallon gasoline equivalent , architecture , fuel efficiency , engineering , environmental economics , power (physics) , computer science , torque , economics , art , mathematics , artificial intelligence , ecology , visual arts , biology , geometry , quantum mechanics , machine learning , thermodynamics , physics
This article reviews the past successes and future challenges of model-based approaches for the analysis, design, and control of hybrid vehicles. Hybrid and electrified vehicles have demonstrated significant fuel economy improvement, especially for city driving, and are gaining market acceptance. The success of hybrid vehicles in Japan demonstrates the potential for hybrid vehicles in other urban markets with high fuel prices, such as large cities in Europe and Asia. Hybrid vehicles are generally classified according to their powertrain architecture. The electric grid and the transportation system are the two largest sectors that produce greenhouse gas emissions. When large numbers of vehicles are electrified and draw power from the electric grid, it is important to aim for reduced overall greenhouse gas emissions, rather than just shifting emissions from tailpipes to power plant stacks. The article concludes that the design, modeling, and control of hybrid vehicles is a subject rich in research opportunities for the dynamic systems and control community.

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