Overview of flux-controllable machines: Electrically excited machines, hybrid excited machines and memory machines
Qingsong Wang and
Shuangxia Niu
Renewable and Sustainable Energy Reviews, 2017, vol. 68, issue P1, 475-491
Abstract:
Flux-controllable machines have attracted much attention in modern industry, especially in electric vehicle propulsion and wind power generation, as they can ensure a wide constant power speed range when working at motoring mode, while maintain constant induced voltage when working at generating mode. This paper reviews the current research work about flux-controllable machines, mainly focused on electrically excited machines, hybrid excited machines and memory machines. The latest novel machine concepts with the potential of good flux controllability are particularly investigated. The working principle, advantages and drawbacks, and future trends of different flux-controllable machines are discussed, compared and summarized in detail.
Keywords: Constant power; Constant induced voltage; Flux controllability; Hybrid excited; Memory machine (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032116305901
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:68:y:2017:i:p1:p:475-491
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic
DOI: 10.1016/j.rser.2016.09.098
Access Statistics for this article
Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski
More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().