1999
DOI: 10.1109/19.772216
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A novel approach for temperature estimation in squirrel-cage induction motor without sensors

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Cited by 30 publications
(14 citation statements)
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“…By considering all the heat sources in the machine, mainly due to joule losses, temperature can be analytically estimated [15]. However too much detailed models, constituted of several tens of elements have to be avoided in the objective of real time implementation [16]. Moreover, because of the starter generator location, the internal combustion engine provides another heat source which is not easy to evaluate (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…By considering all the heat sources in the machine, mainly due to joule losses, temperature can be analytically estimated [15]. However too much detailed models, constituted of several tens of elements have to be avoided in the objective of real time implementation [16]. Moreover, because of the starter generator location, the internal combustion engine provides another heat source which is not easy to evaluate (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…According the literature [11][12][13][14][15], we can distinguish two types of electrical machines thermal modeling approaches:…”
Section: Introductionmentioning
confidence: 99%
“…The first one is thermal model-based approaches, this approach based to divide the machine into homogeneous components unscrewed in order to ensure each part has uniform thermal characteristics such as thermal capacitors, thermal resistances and heat transfer coefficients [11,15]. The identification of the model is performed either by the finite element technique or by a high range of temperature measurement.…”
Section: Introductionmentioning
confidence: 99%
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“…Temperature estimation methods based on thermal and electromagnetic motor models are found in literature [3], [4]. However, these methods fail when the model changes, for instance, due to cooling system failures or its dependence on operating conditions (e.g., fan speed).…”
mentioning
confidence: 99%