Automotive Air Conditioning

Optimization, Control and Diagnosis

Nonfiction, Science & Nature, Technology, Engineering, Automotive, Power Resources
Cover of the book Automotive Air Conditioning by Quansheng Zhang, Shengbo Eben Li, Kun Deng, Springer International Publishing
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Author: Quansheng Zhang, Shengbo Eben Li, Kun Deng ISBN: 9783319335902
Publisher: Springer International Publishing Publication: August 10, 2016
Imprint: Springer Language: English
Author: Quansheng Zhang, Shengbo Eben Li, Kun Deng
ISBN: 9783319335902
Publisher: Springer International Publishing
Publication: August 10, 2016
Imprint: Springer
Language: English

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.

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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.

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