Document Type
Conference Proceeding
Language
eng
Format of Original
8 p.
Publication Date
9-20-2015
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Source Publication
2015 IEEE Energy Conversion Congress and Exposition (ECCE)
Source ISSN
2329-3721
Abstract
A novel automated design algorithm for application-based optimization of permanent magnet (PM) machines is presented in this paper. The proposed algorithm features precise performance evaluation of the potentially heavily saturated machines at high-energy-throughput operating zones using finite element (FE) techniques. First, the energy consumption function associated with the machine's operating cycle is efficiently modeled by a number of representative load points using a k-means clustering algorithm. Subsequently, a new approach is developed to assess the performance of the machine at each representative load point with proper control to conform to practical operational constraints imposed by voltage and current limits of the motor-drive system. The developed algorithm is applicable to the optimization of any configuration of PM and synchronous reluctance motors over any conceivable operating cycle. Its effectiveness is demonstrated by optimizing the well-established reference/benchmark design represented by the 2004 Toyota Prius IPM motor configuration over a compound operating cycle consisting of common US driving schedules.
Recommended Citation
Fatemi, Alireza; Demerdash, Nabeel; Ionel, Dan M.; and Nehl, Thomas W., "Large-scale Electromagnetic Design Optimization of PM Machines Over a Target Operating Cycle" (2015). Electrical and Computer Engineering Faculty Research and Publications. 216.
https://epublications.marquette.edu/electric_fac/216
Comments
Accepted version. Published as part of the proceedings of the 2015 IEEE Energy Conversion Congress and Exposition (ECCE), 2015. DOI. © 2015 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.