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020 _a9783662638637
024 7 _a10.1007/978-3-662-63863-7
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTL240
072 7 _aTRC
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072 7 _aTEC009090
_2bisacsh
072 7 _aTRC
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090 _aTL240EBK
100 1 _aMirfendreski, Aras.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aPowertrain Development with Artificial Intelligence
_h[electronic resource] :
_bHistory, Work Processes, Concepts, Methods and Application Examples /
_cby Aras Mirfendreski.
250 _a1st ed. 2022.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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.
650 0 _aAutomotive engineering.
650 1 4 _aAutomotive Engineering.
653 0 _aArtificial intelligence -- Engineering applications
653 0 _aAutomobiles -- Design and construction -- Data processing
653 0 _aAutomobiles -- Design and construction -- Tecnological innovations
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-662-63863-7
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK