IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i1p153-d194524.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/1/153/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/1/153/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chien-Hsun Wu & Yong-Xiang Xu, 2019. "The Optimal Control of Fuel Consumption for a Heavy-Duty Motorcycle with Three Power Sources Using Hardware-in-the-Loop Simulation," Energies, MDPI, vol. 13(1), pages 1-16, December.
    2. Bảo-Huy Nguyễn & João Pedro F. Trovão & Ronan German & Alain Bouscayrol, 2020. "Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation," Energies, MDPI, vol. 13(21), pages 1-19, October.
    3. Wei Zhang & Jixin Wang & Shaofeng Du & Hongfeng Ma & Wenjun Zhao & Haojie Li, 2019. "Energy Management Strategies for Hybrid Construction Machinery: Evolution, Classification, Comparison and Future Trends," Energies, MDPI, vol. 12(10), pages 1-26, May.
    4. Du, Guodong & Zou, Yuan & Zhang, Xudong & Kong, Zehui & Wu, Jinlong & He, Dingbo, 2019. "Intelligent energy management for hybrid electric tracked vehicles using online reinforcement learning," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. Du, Guodong & Zou, Yuan & Zhang, Xudong & Liu, Teng & Wu, Jinlong & He, Dingbo, 2020. "Deep reinforcement learning based energy management for a hybrid electric vehicle," Energy, Elsevier, vol. 201(C).
    6. Gianluca Marinaro & Zhuangying Xu & Zhengpu Chen & Chenxi Li & Yizhou Mao & Andrea Vacca, 2018. "The PurdueTracer: An Energy-Efficient Human-Powered Hydraulic Bicycle with Flexible Operation and Software Aids," Energies, MDPI, vol. 11(2), pages 1-24, January.
    7. Massimiliano Passalacqua & Mauro Carpita & Serge Gavin & Mario Marchesoni & Matteo Repetto & Luis Vaccaro & Sébastien Wasterlain, 2019. "Supercapacitor Storage Sizing Analysis for a Series Hybrid Vehicle," Energies, MDPI, vol. 12(9), pages 1-15, May.
    8. Hsiu-Ying Hwang & Tian-Syung Lan & Jia-Shiun Chen, 2020. "Optimization and Application for Hydraulic Electric Hybrid Vehicle," Energies, MDPI, vol. 13(2), pages 1-17, January.
    9. Md Ragib Ahssan & Mehran Ektesabi & Saman Gorji, 2020. "Gear Ratio Optimization along with a Novel Gearshift Scheduling Strategy for a Two-Speed Transmission System in Electric Vehicle," Energies, MDPI, vol. 13(19), pages 1-24, September.
    10. Qi, Chunyang & Zhu, Yiwen & Song, Chuanxue & Yan, Guangfu & Xiao, Feng & Da wang, & Zhang, Xu & Cao, Jingwei & Song, Shixin, 2022. "Hierarchical reinforcement learning based energy management strategy for hybrid electric vehicle," Energy, Elsevier, vol. 238(PA).
    11. Benmouna, Amel & Becherif, Mohamed & Depernet, Daniel & Ebrahim, Mohamed A., 2018. "Novel Energy Management Technique for Hybrid Electric Vehicle via Interconnection and Damping Assignment Passivity Based Control," Renewable Energy, Elsevier, vol. 119(C), pages 116-128.
    12. Konrad Prajwowski & Wawrzyniec Golebiewski & Maciej Lisowski & Karol F. Abramek & Dominik Galdynski, 2020. "Modeling of Working Machines Synergy in the Process of the Hybrid Electric Vehicle Acceleration," Energies, MDPI, vol. 13(21), pages 1-20, November.
    13. Guishan Yan & Zhenlin Jin & Mingkun Yang & Bing Yao, 2021. "The Thermal Balance Temperature Field of the Electro-Hydraulic Servo Pump Control System," Energies, MDPI, vol. 14(5), pages 1-24, March.
    14. Li Zhang & Wenfang Zhang & Jinxin Liu & Tong Zhao & Liang Zou & Xinghua Wang, 2017. "A New Prediction Model for Transformer Winding Hotspot Temperature Fluctuation Based on Fuzzy Information Granulation and an Optimized Wavelet Neural Network," Energies, MDPI, vol. 10(12), pages 1-13, December.
    15. Rafal Dzikowski, 2020. "DSO–TSO Coordination of Day-Ahead Operation Planning with the Use of Distributed Energy Resources," Energies, MDPI, vol. 13(14), pages 1-25, July.
    16. Linda Barelli & Gianni Bidini & Federico Gallorini & Francesco Iantorno & Nicola Pane & Panfilo Andrea Ottaviano & Lorenzo Trombetti, 2018. "Dynamic Modeling of a Hybrid Propulsion System for Tourist Boat," Energies, MDPI, vol. 11(10), pages 1-17, September.
    17. Barbosa, Társis Prado & Eckert, Jony Javorski & Roso, Vinícius Rückert & Pujatti, Fabrício José Pacheco & da Silva, Leonardo Adolpho Rodrigues & Horta Gutiérrez, Juan Carlos, 2021. "Fuel saving and lower pollutants emissions using an ethanol-fueled engine in a hydraulic hybrid passengers vehicle," Energy, Elsevier, vol. 235(C).
    18. Juan D. Velásquez & Lorena Cadavid & Carlos J. Franco, 2023. "Intelligence Techniques in Sustainable Energy: Analysis of a Decade of Advances," Energies, MDPI, vol. 16(19), pages 1-45, October.
    19. Lihe Xi & Xin Zhang & Chuanyang Sun & Zexing Wang & Xiaosen Hou & Jibao Zhang, 2017. "Intelligent Energy Management Control for Extended Range Electric Vehicles Based on Dynamic Programming and Neural Network," Energies, MDPI, vol. 10(11), pages 1-18, November.
    20. Kegang Zhao & Zhihao Liang & Yanjun Huang & Hong Wang & Amir Khajepour & Yuke Zhen, 2017. "Research on a Novel Hydraulic/Electric Synergy Bus," Energies, MDPI, vol. 11(1), pages 1-18, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:1:p:153-:d:194524. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.