As the electric machine is the backbone of any electric drive, maximizing their performance takes top priority. Advances and trends in mathematical modeling and computer simulation, together with the availability of sophisticated optimization techniques, have opened the way to a new approach for electrical machine design. The already-proven reliability of the today's optimization strategies allows speed up of the final product definition, reducing the prototyping needs for project validations, and minimizing development and manufacturing cost. The potentialities offered by the modern optimization techniques are grown of interest for industry year after year, giving the reason for their massive penetration into the design chain. Due to the intrinsic multiphysics nature of electrical machines, as well as the multiple requirements imposed on their characteristics, electrical engineers usually face complex multiobjective optimization problems. The vastness of the cases, both in terms of possible electromagnetic structures, materials properties, and specific applications, pushed the Guest Editors to propose this "Special Section on Optimization of ElectricMachine Designs" to the Editors of the IEEE Transactions on Industrial Electronics. This Special Section received strong interest and feedback from designers and researchers involved on the topic: interest that is proved by the initially submitted contributions (134) and the 44 papers published in Part I and Part II. These papers illustrate the current state of the art, latest advances, and future trends of electrical machines design by using optimization methodologies. The Guest Editors are pleased to briefly sum up the first 24 papers included in Part I of this Special Section.
Optimization of Electric Machine Designs-Part I / Cavagnino, Andrea; Bramerdorfer, Gerd; Tapia, Juan A.. - In: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. - ISSN 0278-0046. - 64:12(2017), pp. 9716-9720. [10.1109/TIE.2017.2753359]
Optimization of Electric Machine Designs-Part I
Cavagnino, Andrea;
2017
Abstract
As the electric machine is the backbone of any electric drive, maximizing their performance takes top priority. Advances and trends in mathematical modeling and computer simulation, together with the availability of sophisticated optimization techniques, have opened the way to a new approach for electrical machine design. The already-proven reliability of the today's optimization strategies allows speed up of the final product definition, reducing the prototyping needs for project validations, and minimizing development and manufacturing cost. The potentialities offered by the modern optimization techniques are grown of interest for industry year after year, giving the reason for their massive penetration into the design chain. Due to the intrinsic multiphysics nature of electrical machines, as well as the multiple requirements imposed on their characteristics, electrical engineers usually face complex multiobjective optimization problems. The vastness of the cases, both in terms of possible electromagnetic structures, materials properties, and specific applications, pushed the Guest Editors to propose this "Special Section on Optimization of ElectricMachine Designs" to the Editors of the IEEE Transactions on Industrial Electronics. This Special Section received strong interest and feedback from designers and researchers involved on the topic: interest that is proved by the initially submitted contributions (134) and the 44 papers published in Part I and Part II. These papers illustrate the current state of the art, latest advances, and future trends of electrical machines design by using optimization methodologies. The Guest Editors are pleased to briefly sum up the first 24 papers included in Part I of this Special Section.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2701408
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo