Overview

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.

Full Product Details

Author:   Quansheng Zhang ,  Shengbo Eben Li ,  Kun Deng
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   0.887kg
ISBN:  

9783319335896

ISBN 10:   3319335898
Pages:   366
Publication Date:   19 August 2016
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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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Author Information

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.

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