Automotive Air Conditioning: Optimization, Control and Diagnosis

ISBN-13: 9783319815541 / Angielski / Miękka / 2018 / 366 str.

Quansheng Zhang; Shengbo Eben Li; Kun Deng

Spis treści

Preface 2

Section I: Model Development

Chapter 1. CFD-based Modeling of Heat Transfer in a Passenger Compartment (Tiezhi Sun, Harbin Institute of Technology)

Chapter 2. Model Development for Air Conditioning System in Heavy Duty Trucks (John Kessels)

Chapter 3. Aggregation-based Thermal Model Reduction (Kun Deng, University of Illinois)

Section II: Control

Chapter 4. Robust H_infty Switching Control of Polytopic Parameter-Varying Systems via Dynamic Output Feedback (Chang Duan, Prairie View A&M University

Chapter 5. Output Feedback Control of Automotive Air Conditioning System using H∞ Technique (Quansheng Zhang, the Ohio State University)

Chapter 6. Improving Tracking Performance of Automotive Air Conditioning System via µSynthesis

 (Quansheng Zhang, the Ohio State University)

Chapter 7. Mean-Field Control for Improving Energy Efficiency (Kun Deng, University of Illinois)

Chapter 8. Pseudospectral Optimal Control for Constrained Nonlinear Systems (Shengbo Li, Tsinghua University)

Section III: Optimization

Chapter 9. Multi-objective Supervisory Controller for Hybrid Electric Vehicles (Simona Onori, Clemson University)

Chapter 10. Energy-Optimal Control of an Automotive Air Conditioning System for Ancillary Load Reduction (Quansheng Zhang the Ohio State University)

Chapter 11. Storage Evaporator  (Quansheng Zhang, the Ohio State University)

Chapter 12. Cruising Control of Hybridized Powertrain for Minimized Fuel Consumption

 (Shengbo Li, Tsinghua University)

Section IV: Fault Diagnosis

Chapter 13. Fault Detection and Isolation with Applications to Vehicle Systems (Pierluigi Pisup, Clemson University)

Chapter 14. Fault Detection and Isolation of Automotive Air Conditioning Systems using First Principle Models (Quansheng Zhang, the Ohio State University)

Chapter 15. Evaluating the Performance of Automated Fault Detection and Diagnosis Tools (David Yuill, University of Nebraska)

Index

O autorze

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.

Blurb

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.