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- 저자 : Daniel Berry (검색결과 3 건)
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Magnet Temperature Estimation of IPMSM by Using Reactive Energy
Hyun-Sam Jung,Hwigon Kim,Seung-Ki Sul,Daniel J. Berry 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
In this paper, a method to estimate the temperature of NdFeB magnet of an Interior Permanent Magnet Synchronous Motor (IPMSM) is derived in medium and high speed operating condition, where the back EMF of the motor is high enough. To estimate the temperature of the magnet, a concept of reactive energy is newly brought out. By using this concept, no temperature sensors are required in neither rotor side nor stator side. Hence, the method is truly noninvasive. Furthermore, as the reactive energy itself is utilized to estimate the temperature, the sensitivity to the variation of the magnet temperature is enhanced compared to the conventional method. The proposed method has been verified in the small-scale experiment set. The performance of the method has been evaluated at various operating conditions of IPMSM.
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IPMSM Magnet Temperature Estimation by d-axis Flux Linkage
Hwigon Kim,Hyun-Sam Jung,Seung-Ki Sul,Daniel J. Berry 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
An Interior Permanent Magnet Synchronous Machine, IPMSM, has been widely used as a traction motor in automotive industries for last 10 years thanks to the high torque density and a wide operating speed range. The reliability and torque control accuracy strongly depend on a magnet temperature of IPMSM. D-axis flux had been generally exploited to estimate the magnet temperature, in conjunction with the information of the stator winding resistance, which varies according to its temperature. And in the conventional method, temperature sensors should be attached to the stator windings to decouple the stator temperature effect. In this paper by using the d-axis flux in specific currents, no temperature sensor is required to estimate the magnet temperature. Furthermore, the number of look up table can remarkably be reduced. The proposed method has been verified in the small-scaled experiment set. The performance of the method has been evaluated at various currents, speeds and the magnet temperatures from 3.9 ℃ to 80.7 ℃.
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CAPTURING CUSTOMER ENGAGEMENT ON SOCIAL MEDIA: THE POWER OF SOCIAL COMMUNITIES’ ACTIVATION WORDS
Richard Gruss,Eojina Kim,Alan Abrahams,Yuuyun Song,Daniel Berry 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07
Hospitality and tourism industries have recognized that engaging with customers via social media is now a critical element of their marketing strategy. Given the high variability of success with which firms have been attracting customer interest online, businesses are clearly struggling to determine exactly the right methods to use the newest technologies. This study presents a predictive model of attributes for online posts that evoke a high level of customer engagement. The contribution to the literature is a unique set of features that have significant impact on customer engagement, using a big-data set to support findings. In accordance with theories originating from Social Belongingness and Brand Community Marketing, findings indicate that appeals to a sense of community belonging have a significant impact on customer engagement in social media. Specifically, communities have idiomatic vocabularies consisting of “activation words” that are especially effective for engaging customers on social media. This has both theoretical implications in that it constitutes a large-scale, real-world confirmation of belongingness hypotheses, and managerial implications in that it suggests best practices for maintaining an online presence.
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