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|a 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. Target groups: Engineers in the field of powertrain development Engineers & computer scientists in the field of artificial intelligence Development departments of the automotive industry Suppliers, service providers of the automotive industry, IT industry (AI experts, start-ups etc.) Universities and research institutions All interested readers with technical background knowledge The author: 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.
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Introduction -- The Combustion Engine at the Turn of Industrialization -- Revolution through Simulation for the development of Powertrains -- Big Data for Powertrains- Powertrain development with Artificial Intelligence., 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. Target groups: Engineers in the field of powertrain development Engineers & computer scientists in the field of artificial intelligence Development departments of the automotive industry Suppliers, service providers of the automotive industry, IT industry (AI experts, start-ups etc.) Universities and research institutions All interested readers with technical background knowledge The author: 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. |
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Mirfendreski, Aras VerfasserIn aut, Powertrain Development with Artificial Intelligence History, Work Processes, Concepts, Methods and Application Examples by Aras Mirfendreski, 1st ed. 2022., Berlin, Heidelberg Springer Berlin Heidelberg 2022., Berlin, Heidelberg Imprint: Springer 2022., 1 Online-Ressource(XIII, 164 p. 152 illus., 121 illus. in color.), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Introduction -- The Combustion Engine at the Turn of Industrialization -- Revolution through Simulation for the development of Powertrains -- Big Data for Powertrains- Powertrain development with Artificial Intelligence., 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. Target groups: Engineers in the field of powertrain development Engineers & computer scientists in the field of artificial intelligence Development departments of the automotive industry Suppliers, service providers of the automotive industry, IT industry (AI experts, start-ups etc.) Universities and research institutions All interested readers with technical background knowledge The author: 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., Automotive engineering., 9783662638620, 9783662638644, Erscheint auch als Druck-Ausgabe 9783662638620, Erscheint auch als Druck-Ausgabe 9783662638644, https://doi.org/10.1007/978-3-662-63863-7 X:SPRINGER Resolving-System lizenzpflichtig, https://doi.org/10.1007/978-3-662-63863-7 DE-14, DE-14 epn:4116776408 2022-04-12T11:27:19Z, https://doi.org/10.1007/978-3-662-63863-7 DE-Ch1, DE-Ch1 epn:4116776459 2022-04-12T11:27:20Z, DE-105 epn:4116756989 2022-04-12T11:22:35Z, https://doi.org/10.1007/978-3-662-63863-7 DE-Zwi2, DE-Zwi2 epn:4116776467 2022-04-12T11:27:20Z, DE-15 epn:4241993419 del:202402230200, https://doi.org/10.1007/978-3-662-63863-7 HTWK-Zugang DE-L189, DE-L189 epn:4243691517 2023-01-04T09:29:19Z, https://doi.org/10.1007/978-3-662-63863-7 DE-520, DE-520 epn:4254968817 2023-01-30T10:17:49Z, https://doi.org/10.1007/978-3-662-63863-7 ILN: 736, ILN: 736 epn:4263215176 2023-03-24T22:15:42Z |
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Mirfendreski, Aras, Powertrain Development with Artificial Intelligence: History, Work Processes, Concepts, Methods and Application Examples, Introduction -- The Combustion Engine at the Turn of Industrialization -- Revolution through Simulation for the development of Powertrains -- Big Data for Powertrains- Powertrain development with Artificial Intelligence., 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. Target groups: Engineers in the field of powertrain development Engineers & computer scientists in the field of artificial intelligence Development departments of the automotive industry Suppliers, service providers of the automotive industry, IT industry (AI experts, start-ups etc.) Universities and research institutions All interested readers with technical background knowledge The author: 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., Automotive engineering. |
| title |
Powertrain Development with Artificial Intelligence: History, Work Processes, Concepts, Methods and Application Examples |
| title_auth |
Powertrain Development with Artificial Intelligence History, Work Processes, Concepts, Methods and Application Examples |
| title_full |
Powertrain Development with Artificial Intelligence History, Work Processes, Concepts, Methods and Application Examples by Aras Mirfendreski |
| title_fullStr |
Powertrain Development with Artificial Intelligence History, Work Processes, Concepts, Methods and Application Examples by Aras Mirfendreski |
| title_full_unstemmed |
Powertrain Development with Artificial Intelligence History, Work Processes, Concepts, Methods and Application Examples by Aras Mirfendreski |
| title_short |
Powertrain Development with Artificial Intelligence |
| title_sort |
powertrain development with artificial intelligence history, work processes, concepts, methods and application examples |
| title_sub |
History, Work Processes, Concepts, Methods and Application Examples |
| title_unstemmed |
Powertrain Development with Artificial Intelligence: History, Work Processes, Concepts, Methods and Application Examples |
| topic |
Automotive engineering. |
| topic_facet |
Automotive engineering. |
| url |
https://doi.org/10.1007/978-3-662-63863-7 |
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AT mirfendreskiaras powertraindevelopmentwithartificialintelligencehistoryworkprocessesconceptsmethodsandapplicationexamples |
