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Robust Design Optimization with Penalty Function for Electric Oil Pumps with BLDC Motors

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  • Keun-Young Yoon

    (Department of Electrical Engineering, Honam University, 417 Eodeung-daero, Gwangsan-gu, Gwangju 62399, Korea)

  • Soo-Whang Baek

    (Department of Automotive Engineering, Honam University, 417 Eodeung-daero, Gwangsan-gu, Gwangju 62399, Korea)

Abstract

In this paper, we propose and evaluate a robust design optimization (RDO) algorithm for the shape of a brushless DC (BLDC) motor used in an electric oil pump (EOP). The components of the EOP system and the control block diagram for driving the BLDC motor are described. Although the conventional deterministic design optimization (DDO) method derives an appropriate combination of design goals and target performance, DDO does not allow free searching of the entire design space because it is confined to preset experimental combinations of parameter levels. To solve this problem, we propose an efficient RDO method that improves the torque characteristics of BLDC motors by considering design variable uncertainties. The dimensions of the stator and the rotor were selected as the design variables for the optimal design and a penalty function was applied to address the disadvantages of the conventional Taguchi method. The optimal design results obtained through the proposed RDO algorithm were confirmed by finite element analysis, and the improvement in torque and output performance was confirmed through experimental dynamometer tests of a BLDC motor fabricated according to the optimization results.

Suggested Citation

  • Keun-Young Yoon & Soo-Whang Baek, 2019. "Robust Design Optimization with Penalty Function for Electric Oil Pumps with BLDC Motors," Energies, MDPI, vol. 12(1), pages 1-14, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:1:p:153-:d:194524
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    References listed on IDEAS

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    1. Hyunhwa Kim & Junbeom Wi & Jiho Yoo & Hanho Son & Chiman Park & Hyunsoo Kim, 2018. "A Study on the Fuel Economy Potential of Parallel and Power Split Type Hybrid Electric Vehicles," Energies, MDPI, vol. 11(8), pages 1-19, August.
    2. Guo Hong & Tian Wei & Xiaofeng Ding & Chongwei Duan, 2018. "Multi-Objective Optimal Design of Electro-Hydrostatic Actuator Driving Motors for Low Temperature Rise and High Power Weight Ratio," Energies, MDPI, vol. 11(5), pages 1-21, May.
    3. Chaoying Xia & Zhiming DU & Cong Zhang, 2017. "A Single-Degree-of-Freedom Energy Optimization Strategy for Power-Split Hybrid Electric Vehicles," Energies, MDPI, vol. 10(7), pages 1-23, July.
    4. Chengcheng Liu & Gang Lei & Bo Ma & Youguang Guo & Jianguo Zhu, 2018. "Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances," Energies, MDPI, vol. 11(8), pages 1-17, August.
    5. Zeyu Chen & Rui Xiong & Kunyu Wang & Bin Jiao, 2015. "Optimal Energy Management Strategy of a Plug-in Hybrid Electric Vehicle Based on a Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 8(5), pages 1-18, April.
    6. Hongwen He & Zhentong Liu & Liming Zhu & Xinlei Liu, 2012. "Dynamic Coordinated Shifting Control of Automated Mechanical Transmissions without a Clutch in a Plug-In Hybrid Electric Vehicle," Energies, MDPI, vol. 5(8), pages 1-16, August.
    7. Cha-Seung Jun & Byung-Il Kwon & Ohbong Kwon, 2018. "Tolerance Sensitivity Analysis and Robust Optimal Design Method of a Surface-Mounted Permanent Magnet Motor by Using a Hybrid Response Surface Method Considering Manufacturing Tolerances," Energies, MDPI, vol. 11(5), pages 1-16, May.
    8. Roberto Capata, 2018. "Urban and Extra-Urban Hybrid Vehicles: A Technological Review," Energies, MDPI, vol. 11(11), pages 1-38, October.
    9. Se-Hyeok Choi & Akhtar Hussain & Hak-Man Kim, 2018. "Adaptive Robust Optimization-Based Optimal Operation of Microgrids Considering Uncertainties in Arrival and Departure Times of Electric Vehicles," Energies, MDPI, vol. 11(10), pages 1-16, October.
    10. Jia-Shiun Chen, 2015. "Energy Efficiency Comparison between Hydraulic Hybrid and Hybrid Electric Vehicles," Energies, MDPI, vol. 8(6), pages 1-27, May.
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    Cited by:

    1. Łukasz Knypiński & Karol Pawełoszek & Yvonnick Le Menach, 2020. "Optimization of Low-Power Line-Start PM Motor Using Gray Wolf Metaheuristic Algorithm," Energies, MDPI, vol. 13(5), pages 1-11, March.
    2. Fugang Zhai & Liu Yang & Wenqi Fu & Haisheng Tong & Tianyu Zhao, 2022. "The Effects of Permanent Magnet Segmentations on Electromagnetic Performance in Ironless Brushless DC Motors," Energies, MDPI, vol. 15(2), pages 1-18, January.
    3. Xinmin Li & Guokai Jiang & Wei Chen & Tingna Shi & Guozheng Zhang & Qiang Geng, 2019. "Commutation Torque Ripple Suppression Strategy of Brushless DC Motor Considering Back Electromotive Force Variation," Energies, MDPI, vol. 12(10), pages 1-14, May.
    4. Vijaya Kumar Jonnalagadda & Narasimhulu Tammminana & Raja Rao Guntu & Surender Reddy Salkuti, 2023. "Performance Analysis of Conventional IPMSM and NCPM Based IPMSM," Clean Technol., MDPI, vol. 5(3), pages 1-19, September.
    5. Roland Kasper & Dmytro Golovakha, 2020. "Combined Optimal Torque Feedforward and Modal Current Feedback Control for Low Inductance PM Motors," Energies, MDPI, vol. 13(23), pages 1-16, November.
    6. Marek Pawel Ciurys & Wieslaw Fiebig, 2021. "Experimental Investigation of a Double-Acting Vane Pump with Integrated Electric Drive," Energies, MDPI, vol. 14(18), pages 1-15, September.
    7. Jean-Michel Grenier & Ramón Pérez & Mathieu Picard & Jérôme Cros, 2021. "Magnetic FEA Direct Optimization of High-Power Density, Halbach Array Permanent Magnet Electric Motors," Energies, MDPI, vol. 14(18), pages 1-19, September.

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