Quansheng Zhang, Shengbo Eben Li, Kun Deng

Automotive Air Conditioning

Optimization, Control and Diagnosis

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-81554-1
• Softcover reprint of the original 1st ed. 2016
• Seitenzahl: 376
• Erscheinungstermin: 22. April 2018
• Englisch
• Abmessung: 235mm x 155mm x 21mm
• Gewicht: 594g
• ISBN-13: 9783319815541
• ISBN-10: 3319815547
• Artikelnr.: 53571787

Autorenporträt

Dr. Quansheng Zhang holds a Ph.D in Mechanical Engineering from The Ohio State University. He is currently a research engineer in the Ford Motor Company in Dearborn, MI, USA. He specializes in the development of energy management strategy for electric vehicles and the optimization and control of automotive HVAC systems. Dr. Shengbo Eben Li was a postdoctoral research fellow in Mechanical Engineering from University of Michigan-Ann Arbor. He is currently an associate professor in Department of Automotive Engineering at Tsinghua University, China. He specializes in the optimization and control of autonomous vehicles, driver behavior and assistance, optimal control and estimation. Dr. Kun Deng holds a Ph.D. in Mechanical Engineering from University of Illinois at Urbana-Champaign. He is currently a research engineer at Ford Motor Company in Dearborn, MI, USA. He specializes in modeling and control of stochastic systems, optimization and control of building HVAC systems, and control system development of automated driving vehicles.

Inhaltsangabe

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.

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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.