Powertrain Development with Artificial Intelligence: History, Work Processes, Concepts, Methods and Application Examples - Tapa blanda

Mirfendreski, Aras

 
9783662638620: Powertrain Development with Artificial Intelligence: History, Work Processes, Concepts, Methods and Application Examples
Tapa blanda
ISBN 10: 3662638622 ISBN 13: 9783662638620
Editorial: Springer, 2022

Sinopsis

The variety of future powertrain concepts has drastically increased the development cost for automotive manufactures. Profitable investment requires a significantly leaner and efficient powertrain development process. Traditional methods of test and model based development need to be assisted by big data and data analytics. For this purpose, a valuable tool is available at the right time - artificial intelligence (AI). But what does AI really mean in a narrower sense? What concepts lie behind it? And how are the methods and algorithms transferable to powertrain applications? For the first time, this book aims to bridge the gap between automotive engineering and computer science, by illuminating the complexity of current AI concepts and demystifying it for powertrain applications. By elaborating on work processes, it shows how AI could be implemented and how completely novel methods can help us reshape the future of mobility.

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Acerca del autor

Dr. Aras Mirfendreski has developed into an engine-expert throughout the German and international scientific landscape (studied at RWTH Aachen University, doctorate at Audi AG). Through his experience as a powertrain developer at Stuttgart FKFS for various OEMs as well as his activities as a senior program manager at Toyota, his developments always thrive on the transfer of state-of-the-art methods into corporate structures. Today, he serves as Vice President Engine R&D at Aquarius Engines and is also an AI expert, keynote speaker and consultant on artificial intelligence topics.

De la contraportada

The variety of future powertrain concepts has drastically increased the development cost for automotive manufactures. Profitable investment requires a significantly leaner and efficient powertrain development process. Traditional methods of test and model based development need to be assisted by big data and data analytics. For this purpose, a valuable tool is available at the right time - artificial intelligence (AI). But what does AI really mean in a narrower sense? What concepts lie behind it? And how are the methods and algorithms transferable to powertrain applications? For the first time, this book aims to bridge the gap between automotive engineering and computer science, by illuminating the complexity of current AI concepts and demystifying it for powertrain applications. By elaborating on work processes, it shows how AI could be implemented and how completely novel methods can help us reshape the future of mobility.<div><b><br></b></div><div><b>Target groups:</b></div><div><p></p><ul><li>Engineers in the field of powertrain development</li><li>Engineers & computer scientists in the field of artificial intelligence</li><li>Development departments of the automotive industry</li><li>Suppliers, service providers of the automotive industry, IT industry (AI experts, start-ups etc.)</li><li>Universities and research institutions</li><li>All interested readers with technical background knowledge</li></ul><div><b>The author:</b></div><div></div><p></p><p><b>Dr. Aras Mirfendreski</b>&nbsp;has developed into an engine-expert throughout the German and international scientific landscape (studied at RWTH Aachen University, doctorate at Audi AG). Through his experience as a powertrain developer at Stuttgart FKFS for various OEMs as well as his activities as a senior program manager at Toyota, his developments always thrive on the transfer of state-of-the-art methods into corporate structures. Today, he serves as Vice President Engine R&D at Aquarius Engines and is also an AI expert, keynote speaker and consultant on artificial intelligence topics.</p><p></p><p></p><p></p><p></p><p></p></div>

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Editorial
Springer
Año de publicación
2022
Idioma
Inglés
ISBN 10 
3662638622
ISBN 13 
9783662638620
Encuadernación
Tapa blanda
Número de páginas
180
Contacto del fabricante
no disponible
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