Thermal management and cooling of windings in electrical machines for electric vehicle and traction application

Liu, Mingda; Li, Yingjie; Ding, Hao; Sarlioglu, Bulent

doi:10.1109/itec.2017.7993349

Cited by 24 publications

(5 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Epoxy provides insulation for the windings to prevent short circuits or arcing from adjacent coils [29] and increases thermal characteristics [30]. Voids, cracks or other defects during the epoxy manufacturing process can contribute to the aging or degradation of insulation under electrical and thermal stresses, leading to motor failure.…”

Section: Machine Learning For Insulation Fault Detectionmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Hairpin Winding Fault Detection Using Impedance Measurements

Zhang,

Huangfu,

Ziada

et al. 2023

IEEE Access

View full text Add to dashboard Cite

This study investigates various hairpin winding faults in electric motors using impedance measurements. Both high-frequency and low-frequency impedances are measured to characterize winding fault conditions. This study proposes various techniques to extract distinctive feature patterns that are associated with fault conditions. These include open circuit faults that show significant discrimination within the low-frequency range, and welding mismatch faults that are distinguished by a proposed similarity indicator. Insulation faultsfaults that are related to epoxyare found to be more difficult to diagnose using simple statistical metrics, so this study proposes a machine learning classification model using a support vector machine (SVM). The results show that the SVM model achieves a high accuracy using a small number of training samples. The methods discussed provide cost-efficient solutions to effectively detect welding and insulation faults, ensuring the product quality of hairpin windings.

show abstract

Section: Machine Learning For Insulation Fault Detectionmentioning

confidence: 99%

“…With data preprocessing in Section III.C, all measurement data are preprocessed and have a shape of (30,684). To visualize this high-dimensional data, t-distributed stochastic neighbor embedding (t-SNE) is applied [31].…”

Section: A Data Visualizationmentioning

confidence: 99%

Efficient Hairpin Winding Fault Detection Using Impedance Measurements

Zhang,

Huangfu,

Ziada

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Therefore, cooling strategies are applied to electric motors to dissipate the heat generation and maintain the optimum performance of the electric motor [8,9]. The conventionally used water jacket cooling fails to maintain the desired thermal management, as the power density of electric motors is increasing because of increased thermal resistance owing to the presence of indirect cooling channels [10,11]. An advanced thermal management technology should be developed with the benefits of minimal thermal resistance and enhanced cooling for next-generation electric motors.…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer Characteristics of an Electric Motor with Oil-Dripping Cooling under Overload Conditions

Kang,

Garud,

Park

et al. 2024

Symmetry

View full text Add to dashboard Cite

The continuously increasing energy density of electric motors to match the performance of electric vehicles with internal-combustion-engine vehicles demands an advanced cooling strategy. Direct dripping/spray cooling is one of such potential cooling strategies to replace the conventional cooling method for achieving the desired thermal management of next-generation electric motors. In the present work, the heat transfer characteristics of an electric motor with oil-dripping cooling were experimentally investigated considering overload operating conditions. An experimental set-up comprising a 15 kW electric motor and an oil-dripping cooling system was developed. The experimental data were used to evaluate the maximum temperature, heat transfer coefficient and power consumption under the influence of a dripping hole diameter (2 mm, 3 mm, 4 mm), oil flow rate (8 LPM, 12 LPM, 16 LPM) and overload operating power (8.28 kW, 12.05 kW, 14.21 kW). The symmetrical oil distribution over the electric motor and the superior heat transfer from the electric motor to the oil was achieved when the oil-dripping cooling system was designed with the combination of a 4 mm dripping hole diameter and a 12 LPM oil flow rate. The combination of the 4 mm dripping hole diameter and 12 LPM oil flow rate showed the lowest maximum temperatures of 31.9 °C and 46.3 °C for electric motor under overload operating powers of 8.28 kW and 14.21 kW, respectively. In addition, the highest heat transfer coefficient of 7528.61 W/m2-K and lowest power consumption of 18.07 W were achieved for the oil-dripping cooling system with the combination of a 4 mm dripping hole diameter and 12 LPM oil flow rate. The best combination of the operating parameters is proposed for developing the oil-dripping cooling system that enables superior heat transfer characteristics and, thus, an enhanced thermal management of electric motors under overload conditions.

show abstract

“…In general, the heat produced within the windings is difficult to extract, since the combined effects of the slot liner, and the wire insulation and any trapped air significantly increase the equivalent thermal resistance from the centre of the coils to the cooling agent and/or surface [12]. Conventional air cooling systems, such as shaft-mounted fans, housing fins or external fans, are very effective.…”

Section: Introductionmentioning

confidence: 99%

Improved Thermal Management and Analysis for Stator End-Windings of Electrical Machines

Madonna

Walker

Giangrande

et al. 2019

IEEE Trans. Ind. Electron.

133

View full text Add to dashboard Cite

In electrical machine design, thermal management plays a key role in improving performance and reducing size. End-windings are commonly identified as the machine hot-spot. Hence, lowering and predicting end-windings temperature are crucial tasks in thermal management of electrical machines. This paper proposes and investigates a non-invasive but effective cooling method that aims for a uniform cooling of a machine's winding by implementing direct cooling on its end-windings. Modelling and experimental results show that a 25% hot-spot temperature reduction on a particular application can be achieved. To analyse the proposed technique in detail, an accurate but computationally-economic lumped parameter thermal network is developed. Comparison between a 'standard' thermal network and its simplified equivalent (with less nodes) is presented where the models are developed and fine-tuned based on experimental data. All the above is used to investigate the potential of the proposed end-winding cooling method with different configurations of the methodology.

show abstract

Thermal management and cooling of windings in electrical machines for electric vehicle and traction application

Cited by 24 publications

References 33 publications

Efficient Hairpin Winding Fault Detection Using Impedance Measurements

Efficient Hairpin Winding Fault Detection Using Impedance Measurements

Heat Transfer Characteristics of an Electric Motor with Oil-Dripping Cooling under Overload Conditions

Improved Thermal Management and Analysis for Stator End-Windings of Electrical Machines

Contact Info

Product

Resources

About