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[null,"1.","Record Nr.",null,"UNISALENTO991000574089707536"]
[null,null,"Autore",null,"Premoli, Palmiro"]
[null,null,"Titolo",null,"Il vocabolario nomenclatore / Palmiro Premoli"]
[null,null,"Pubbl/distr/stampa",null,"Bologna : Zanichelli, [1989]"]
[null,null,"ISBN",null,"8808135322"]
[null,null,"Edizione",null,"[Rist. anast]"]
[null,null,"Descrizione fisica",null,"2 v. (vii, 1269 p. compless.) ; 25 cm."]
[null,null,"Disciplina",null,"453.1"]
[null,null,"Soggetti",null,"Lingua italiana - Dizionari"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Sul front.: rist. anast. de Il tesoro della lingua italiana, vocabolario nomenclatore di Palmiro Premoli, conforme all'ed. orig. pubblicata nel 1909-12 dalla Società editrice Aldo Manuzio. - In custodia."]
[null,"2.","Record Nr.",null,"UNINA9910557443503321"]
[null,null,"Autore",null,"Rinderknecht Stephan"]
[null,null,"Titolo",null,"Future Powertrain Technologies"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020"]
[null,null,"Descrizione fisica",null,"1 online resource (266 p.)"]
[null,null,"Soggetti",null,"History of engineering and technology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Among the various factors greatly influencing the development process of future powertrain technologies, the trends in climate change and digitalization are of huge public interest. To handle these trends, new disruptive technologies are integrated into the development process. They open up space for diverse research which is distributed over the entire vehicle design process. This book contains recent research articles which incorporate results for selecting and designing powertrain topology in consideration of the vehicle operating strategy as well as results for handling the reliability of new powertrain components. The field of investigation spans from the identification of ecologically optimal transformation of the existent vehicle fleet to the development of machine learning-based operating strategies and the comparison of complex hybrid electric vehicle topologies to reduce CO2 emissions."]