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1. |
Record Nr. |
UNINA990004586770403321 |
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Titolo |
Festgabe Clemens Baeumker : zum 70. Geburtstag (16. september 1923), Dargebracht von seinen Freunden und Schulern Kardinal Franz Ehrle, A. Schneider, G. Wunderle / ... [et al.] |
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Pubbl/distr/stampa |
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Munster, : Aschendorffschen, 1923 |
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Descrizione fisica |
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Collana |
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Beitrage zur Geschichte der Philosophie des Mittelalters ; 2 |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910254230603321 |
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Autore |
Onori Simona |
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Titolo |
Hybrid Electric Vehicles : Energy Management Strategies / / by Simona Onori, Lorenzo Serrao, Giorgio Rizzoni |
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Pubbl/distr/stampa |
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London : , : Springer London : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (121 p.) |
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Collana |
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SpringerBriefs in Control, Automation and Robotics, , 2192-6786 |
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Disciplina |
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Soggetti |
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Automatic control |
Automotive engineering |
Energy consumption |
Physics |
Thermodynamics |
Control and Systems Theory |
Automotive Engineering |
Energy Efficiency |
Applied and Technical Physics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Energy-based Modeling Approach -- The Control Problem for HEVs/PHEVs -- Dynamic Programming -- Pontryagin’s Minimum Principle -- Equivalent Consumption Minimization Strategy -- Adaptive ECMS -- Implementation Issues. |
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Sommario/riassunto |
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This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle’s power is provided by each source instant by instant. Hybrid Electric Vehicles: •introduces methods for modeling energy flow in hybrid electric vehicles; •presents a standard mathematical formulation of the optimal control problem; •discusses different optimization and control strategies for energy management, integrating the most recent research results; and •carries out an overall comparison of the different control strategies presented. Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies. |
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