Thermal Analysis of a Small D-C Motor; Part I. Dimensional Analysis of Combined Thermal and Electrical Processes [includes discussion]

Kaye, Joseph; Gouse, S. William

doi:10.1109/aieepas.1956.4499460

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…Moreover, it has the benefit to be easily computed and solved compared to the 2D and 3D finite elements modeling [19,20]. Moreover, compared to this latter method, the thermal modeling by nodal network permits easily to apply local boundary conditions for all the different type of machines (permanent magnets, synchronous or asynchronous) [1,21].…”

Section: Transient Thermal Modeling Of the Motor With A Nodal Thermalmentioning

confidence: 99%

Design of an axial flux PM motor using magnetic and thermal equivalent network

Mignot

Glises

Espanet

et al. 2013

Eur. Phys. J. Appl. Phys.

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This paper deals with the development of a new generation of electric motors (7.5-15 kW) for automotive powertrains. The target is a full electric direct drive vehicle, for the particular application to heavy quadricycles. An original axial flux PM structure is proposed due to the simplicity of its manufacturing. However it leads to a 3D structure, difficult to study. The paper deals with analytical models that can be used to achieve the analysis and the sizing of the motor. The electromagnetic behavior is modeled using a simple magnetic equivalent network and the thermal behavior is analyzed with a thermal network. Finally, the analytical results are compared to those experimentally obtained and it proves the interest of the proposed structure: the construction is simple and the performances are satisfying.

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Section: Transient Thermal Modeling Of the Motor With A Nodal Thermalmentioning

confidence: 99%

Design of an axial flux PM motor using magnetic and thermal equivalent network

Mignot

Glises

Espanet

et al. 2013

Eur. Phys. J. Appl. Phys.

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“…However, the performance of a DC motor depends not only on the load torque and the structure of the control law; also, of the parametric changes that occur with the operating time. A determining factor is temperature, both due to the Joule effect and the dynamic friction in bearings [21][22][23][24][25][26]. To this end, adaptive control techniques are considered to regulate the output, despite the parametric uncertainty [27]; nevertheless, the precision of the control depends on the mathematical model, partially de ned in its structure [28].…”

Section: Introductionmentioning

confidence: 99%

Electronic thermodynamics part 1: Thermo-electromechanical system modeling, instrumentation, and simulation

Morgado-González

Cobos-Murcia

Márquez-Vera

et al. 2022

Preprint

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This research proposes to obtain a mathematical model that describes the dynamic operation of a brushed DC motor, to obtain a state function considering the electrical, mechanical, and thermal effects of the DC motor. The dynamic evolution of the proposed function is evaluated by simulation using Matlab software, and by applying different values of the step type inputs for the brushed motor excitation employing pulse width modulation (PWM) to obtain a wide range of operations. Experimental results show that the developed state function, provides a reliable approximation to estimate the voltage, armature current, mechanical torque, and temperature of the brushed DC motor, showing an error percentage of 0.2%.

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