Heat transfer and economic characteristics of direct oil cooling for electric traction motor under driving cycles

被引:3
作者
Garud, Kunal Sandip [1 ]
Lee, Moo-Yeon [1 ]
机构
[1] Dong A Univ, Dept Mech Engn, 37 Nakdong Daero 550, Busan, South Korea
关键词
Direct oil cooling; Driving duty cycle; Electric traction motor; Economic characteristics; Heat transfer characteristics; PERFORMANCE; SYSTEMS;
D O I
10.1016/j.applthermaleng.2024.124608
中图分类号
O414.1 [热力学];
学科分类号
摘要
Currently, the energy density of electric traction motor is continuously increasing to match the performance and reliability of electric vehicles with IC engine vehicles. The commercially employed water jacket cooling fails to achieve the desired efficiency of high energy density electric traction motor. Direct oil cooling is one of potential cooling strategies to replace the conventional cooling method for achieving the desired thermal management of next generation electric traction motors. However, the database to commercialize the direct oil cooling based on thermal management and economic aspects is not enriched sufficiently and thus extensive research studies need to be conducted in this field. Therefore, the heat transfer and economic characteristics of direct oil cooling for electric traction motor are investigated considering different cooling oils and driving duty cycles in the present work. The integrated electromagnetic-thermal numerical model is developed using ANSYS Motor-Cad commercial software to simulate the heat transfer and economic characteristics. The reliability of coupled numerical model is assured by validating the simulated results with experimental and reference data in error range of +/- 5 %. The winding temperature, heat transfer coefficient, expected insulation lifetime, levelized cost of energy (LCOE), and net cumulative savings are evaluated as heat transfer and economic characteristics. Three driving duty cycles namely, UDDS (Urban Dynamometer Driving Schedule), NEDC (New European Driving Cycle) and US06 (Highway Driving Cycle) and transmission oil, shell thermal oil and Novec dielectric oil are investigated. The performance of electric traction motor with direct oil cooling is superior compared to that with water jacket cooling. The direct cooling with Novec dielectric oil shows improved heat transfer and economic characteristics compared to transmission oil and shell thermal oil. The direct cooling with Novec dielectric oil restricts the maximum winding temperature within 80.21 degrees C, 67.65 degrees C and 116.82 degrees C under driving cycles of UDDS, NEDC and US06, respectively. In addition, the enhanced insulation lifetime, heat transfer coefficient, LCOE and net cumulative savings of 7.91 x 105h, 23036.73 W/m2-K, 0.170 $/kWh and 47151.13 $, respectively are reflected for direct cooling with Novec dielectric oil.
引用
收藏
页数:15
相关论文
共 54 条
  • [31] Madonna V, 2020, PROC IEEE INT SYMP, P319, DOI [10.1109/ISIE45063.2020.9152243, 10.1109/isie45063.2020.9152243]
  • [32] mobex.io/webinars/, About us
  • [33] Electrical Propulsion System Design of Chevrolet Bolt Battery Electric Vehicle
    Momen, Faizul
    Rahman, Khwaja
    Son, Yochan
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (01) : 376 - 384
  • [34] motor-design, About us
  • [35] multimedia.3m.com, About us
  • [36] Development and validation of lumped parameter thermal network model on rotational oil spray cooled motor for electric vehicles
    Park, Myeong Hyeon
    Kim, Sung Chul
    [J]. APPLIED THERMAL ENGINEERING, 2023, 225
  • [37] Thermal characteristics and effects of oil spray cooling on in-wheel motors in electric vehicles
    Park, Myeong Hyeon
    Kim, Sung Chul
    [J]. APPLIED THERMAL ENGINEERING, 2019, 152 : 582 - 593
  • [38] Pierre-Olivier J. A. N. D. A. U. D., 2017, Heat Transfer in Electric Machines
  • [39] Popescu M, 2019, IEEE ENER CONV, P3924, DOI [10.1109/ECCE.2019.8912248, 10.1109/ecce.2019.8912248]
  • [40] Electrical Vehicles-Practical Solutions for Power Traction Motor Systems
    Popescu, Mircea
    Goss, James
    Staton, David Alan
    Hawkins, Douglas
    Chong, Yew Chuan
    Boglietti, Aldo
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2018, 54 (03) : 2751 - 2762