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020 _a9783662638637
024 7 _a10.1007/978-3-662-63863-7
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTL240
_b2022 EB
100 1 _aMirfendreski, Aras
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9685650
245 1 0 _aPowertrain Development with Artificial Intelligence :
_bHistory, Work Processes, Concepts, Methods and Application Examples
_cby Aras Mirfendreski
250 _a1st edition 2022
264 1 _aBerlin, Heidelberg
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIII, 164 páginas)
_b152 ilustraciones, 121 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
505 0 _aIntroduction -- 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.
520 _aThe 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.
988 _aSpringer_Engineering_2022
650 7 _2embne
_9251275
_aAutomóviles
_xDiseño y construcción
650 7 _2embne
_aInteligencia artificial
_9413115
776 0 8 _iPrinted edition:
_z9783662638620
776 0 8 _iPrinted edition:
_z9783662638644
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-63863-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b12/2022
_dz
_eb
_zSI