Thermal performance of oil spray cooling system for in-wheel motor in electric vehicles

Lim, Dong Hyun; Kim, Sung Chul

doi:10.1016/j.applthermaleng.2013.11.057

Cited by 149 publications

(43 citation statements)

References 15 publications

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“…with respect to their resistances, capacities, and ambient conditions, by a thermal circuit, which is coupled with electromagnetic characteristics through losses; see Figure 5. Requirements of the cooling system, e.g., the flow rate of the cooling oil [43], can be deduced from Equation (6) by calculating the thermal resistance and capacity of cooling oil R co and C co , which offers a resting interface to the fuel pump system. In addition, the thermal load AJ a is also given as a constraint here.…”

Section: Components Coupled Constraintsmentioning

confidence: 99%

Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Dai

Wang

Meng³

et al. 2019

Energies

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The transportation sector is undergoing electrification to gain advantages such as lighter weight, improved reliability, and enhanced efficiency. As contributors to the safety of embedded critical functions in electrified systems, better sizing of electric machines in vehicles is required to reduce the cost, volume, and weight. Although the designs of machines are widely investigated, existing studies are mostly complicated and application-specific. To satisfy the multi-level design requirements of power systems, this study aims to develop an efficient modeling method of electric machines with a background of aircraft applications. A variable-speed variable-frequency (VSVF) electrically excited synchronous generator is selected as a case study to illustrate the modular multi-physics modeling process, in which weight and power loss are the major optimization goals. In addition, multi-disciplinary design optimization (MDO) methods are introduced to facilitate the optimal variable selection and simplified model establishment, which can be used for the system-level overall design. Several cases with industrial data are analyzed to demonstrate the effectiveness and superior performance of the modeling method. The results show that the proposed practices provide designers with accurate, fast, and systematic means to develop models for the efficient design of aircraft power systems.

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Section: Components Coupled Constraintsmentioning

confidence: 99%

Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Dai

Wang

Meng³

et al. 2019

Energies

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“…It enhanced the thermal performance dramatically. Davin et al [13] and Lim and Kim [14] investigated the influences of the oil flow rate, rotation speed oil inlet temperature and geometric variables on the cooling efficiency of the oil spray cooling system for electric motors. Although a great heat transfer augmentation was always observed in the liquid cooling scheme, an inherent disadvantage is spotted as well: the persistent and stable operation of the cooling system depends on an external fluid circle constitution such as pump package, reservoir, and heat rejection component, which will definitely increase complexity and decrease economy.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of the thermal control effects of phase change material based packaging strategy for on-board permanent magnet synchronous motors

Wang

et al. 2016

Energy Conversion and Management

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“…In general, typical cooling techniques for electric machine applications are based on air cooling systems [9][10][11], phase-change material cooling systems [12,13] and liquid cooling systems [14][15][16][17][18]. Because liquids have a higher heat transfer capacity than air of the same mass, in applications where there is a large amount of heat generated continuously, the liquid cooling systems are more suitable than air cooling systems in terms of heat transfer performance and size of the cooling system.…”

Section: Introductionmentioning

confidence: 99%

On Heat Transfer Performance of Cooling Systems Using Nanofluid for Electric Motor Applications

Deriszadeh

Monte

2020

Entropy

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This paper studies the fluid flow and heat transfer characteristics of nanofluids as advance coolants for the cooling system of electric motors. Investigations are carried out using numerical analysis for a cooling system with spiral channels. To solve the governing equations, computational fluid dynamics and 3D fluid motion analysis are used. The base fluid is water with a laminar flow. The fluid Reynolds number and turn-number of spiral channels are evaluation parameters. The effect of nanoparticles volume fraction in the base fluid on the heat transfer performance of the cooling system is studied. Increasing the volume fraction of nanoparticles leads to improving the heat transfer performance of the cooling system. On the other hand, a high-volume fraction of the nanofluid increases the pressure drop of the coolant fluid and increases the required pumping power. This paper aims at finding a trade-off between effective parameters by studying both fluid flow and heat transfer characteristics of the nanofluid.

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Thermal performance of oil spray cooling system for in-wheel motor in electric vehicles

Cited by 149 publications

References 15 publications

Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Experimental investigation of the thermal control effects of phase change material based packaging strategy for on-board permanent magnet synchronous motors

On Heat Transfer Performance of Cooling Systems Using Nanofluid for Electric Motor Applications

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