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Automotive Air Conditioning: Optimization, Control and Diagnosis
Kategorie	Beschreibung
036a	XA-DE
037b	eng
087q	978-3-319-33589-6
100	Zhang, Quansheng
104b	Li, Shengbo Eben
108b	Deng, Kun
331	Automotive Air Conditioning
335	Optimization, Control and Diagnosis
410	Cham
412	Springer
425	2016
425a	2016
433	Online-Ressource (VIII, 366 p. 162 illus., 139 illus. in color, online resource)
451b	SpringerLink. Bücher
527	Druckausg.ISBN: 978-3-319-33589-6
527	Printed editionISBN: 978-3-319-33589-6
540a	ISBN 978-3-319-33590-2
700	\|THRB
700	\|TEC031000
700b	\|388
700c	\|TJ163.5.T7
750	This book presents research advances in automotive AC systems using an interdisciplinary approach combining both thermal science, and automotive engineering. It covers a variety of topics, such as: control strategies, optimization algorithms, and diagnosis schemes developed for when automotive air condition systems interact with powertrain dynamics. In contrast to the rapid advances in the fields of building HVAC and automotive separately, an interdisciplinary examination of both areas has long been neglected. The content presented in this book not only reveals opportunities when interaction between on-board HVAC and powertrain is considered, but also provides new findings to achieve performance improvement using model-based methodologies
753	Preface -- Section I: Model Development -- CFD-based Modeling of Heat Transfer in a Passenger Compartment -- Model Development for Air Conditioning System in Heavy Duty Trucks -- Aggregation-based Thermal Model Reduction -- Section II: Control -- Robust H∞ Switching Control of Polytopic Parameter-Varying Systems via Dynamic Output Feedback -- Output Feedback Control of Automotive Air Conditioning System using H∞ Technique -- Improving Tracking Performance of Automotive Air Conditioning System via µSynthesis -- Mean-Field Control for Improving Energy Efﬁciency -- Pseudospectral Optimal Control for Constrained Nonlinear Systems -- Section III: Optimization -- Multi-objective Supervisory Controller for Hybrid Electric Vehicles -- Energy-Optimal Control of an Automotive Air Conditioning System for Ancillary Load Reduction -- Storage Evaporator -- Cruising Control of Hybridized Powertrain for Minimized Fuel Consumption -- Section IV: Fault Diagnosis -- Fault Detection and Isolation with Applications to Vehicle Systems -- Fault Detection and Isolation of Automotive Air Conditioning Systems using First Principle Models -- Evaluating the Performance of Automated Fault Detection and Diagnosis Tools -- Index
902s	209536241 Klimaanlage
902s	209200596 Personenkraftwagen
012	477157254
081	Zhang, Quansheng: Automotive Air Conditioning
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-319-33590-2