IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v7y2013i1p99-114d31787.html
   My bibliography  Save this article

Energy-Regenerative Braking Control of Electric Vehicles Using Three-Phase Brushless Direct-Current Motors

Author

Listed:
  • Bo Long

    (School of Mechanical, Electronic, and Industrial Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Shin Teak Lim

    (Departments of Electronics & Information Engineering, Chonbuk National University, Jeonju 567, Korea)

  • Ji Hyoung Ryu

    (Departments of Electronics & Information Engineering, Chonbuk National University, Jeonju 567, Korea)

  • Kil To Chong

    (Departments of Electronics & Information Engineering, Chonbuk National University, Jeonju 567, Korea)

Abstract

Regenerative braking provides an effective way of extending the driving range of battery powered electric vehicles (EVs). This paper analyzes the equivalent power circuit and operation principles of an EV using regenerative braking control technology. During the braking period, the switching sequence of the power converter is controlled to inverse the output torque of the three-phase brushless direct-current (DC) motor, so that the braking energy can be returned to the battery. Compared with the presented methods, this technology can achieve several goals: energy recovery, electric braking, ultra-quiet braking and extending the driving range. Merits and drawbacks of different braking control strategy are further elaborated. State-space model of the EVs under energy-regenerative braking operation is established, considering that parameter variations are unavoidable due to temperature change, measured error, un-modeled dynamics, external disturbance and time-varying system parameters, a sliding mode robust controller (SMRC) is designed and implemented. Phase current and DC-link voltage are selected as the state variables, respectively. The corresponding control law is also provided. The proposed control scheme is compared with a conventional proportional-integral (PI) controller. A laboratory EV for experiment is setup to verify the proposed scheme. Experimental results show that the drive range of EVs can be improved about 17% using the proposed controller with energy-regeneration control.

Suggested Citation

  • Bo Long & Shin Teak Lim & Ji Hyoung Ryu & Kil To Chong, 2013. "Energy-Regenerative Braking Control of Electric Vehicles Using Three-Phase Brushless Direct-Current Motors," Energies, MDPI, vol. 7(1), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:7:y:2013:i:1:p:99-114:d:31787
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/7/1/99/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/7/1/99/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ximing Wang & Hongwen He & Fengchun Sun & Xiaokun Sun & Henglu Tang, 2013. "Comparative Study on Different Energy Management Strategies for Plug-In Hybrid Electric Vehicles," Energies, MDPI, vol. 6(11), pages 1-20, October.
    2. Mehrdad Ehsani & Milad Falahi & Saeed Lotfifard, 2012. "Vehicle to Grid Services: Potential and Applications," Energies, MDPI, vol. 5(10), pages 1-15, October.
    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. Tong Wu & Jing Li & Xuan Qin, 2021. "Braking performance oriented multi–objective optimal design of electro–mechanical brake parameters," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-31, May.

    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. Farouk Odeim & Jürgen Roes & Angelika Heinzel, 2015. "Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System," Energies, MDPI, vol. 8(7), pages 1-26, June.
    2. Ximing Wang & Hongwen He & Fengchun Sun & Jieli Zhang, 2015. "Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles," Energies, MDPI, vol. 8(4), pages 1-20, April.
    3. Hongyu Li & Ping Ju & Chun Gan & Feng Wu & Yichen Zhou & Zhe Dong, 2018. "Stochastic Stability Analysis of the Power System with Losses," Energies, MDPI, vol. 11(3), pages 1-11, March.
    4. Yongpeng Shen & Zhendong He & Dongqi Liu & Binjie Xu, 2016. "Optimization of Fuel Consumption and Emissions for Auxiliary Power Unit Based on Multi-Objective Optimization Model," Energies, MDPI, vol. 9(2), pages 1-18, February.
    5. Hanemann, Philipp & Bruckner, Thomas, 2018. "Effects of electric vehicles on the spot market price," Energy, Elsevier, vol. 162(C), pages 255-266.
    6. Aimin Du & Yaoyi Chen & Dongxu Zhang & Yeyang Han, 2021. "Multi-Objective Energy Management Strategy Based on PSO Optimization for Power-Split Hybrid Electric Vehicles," Energies, MDPI, vol. 14(9), pages 1-18, April.
    7. Ximing Wang & Hongwen He & Fengchun Sun & Xiaokun Sun & Henglu Tang, 2013. "Comparative Study on Different Energy Management Strategies for Plug-In Hybrid Electric Vehicles," Energies, MDPI, vol. 6(11), pages 1-20, October.
    8. Monica Alonso & Hortensia Amaris & Jean Gardy Germain & Juan Manuel Galan, 2014. "Optimal Charging Scheduling of Electric Vehicles in Smart Grids by Heuristic Algorithms," Energies, MDPI, vol. 7(4), pages 1-27, April.
    9. Xiaohong Jiao & Tielong Shen, 2014. "SDP Policy Iteration-Based Energy Management Strategy Using Traffic Information for Commuter Hybrid Electric Vehicles," Energies, MDPI, vol. 7(7), pages 1-28, July.
    10. Li, Gaopeng & Zhang, Jieli & He, Hongwen, 2017. "Battery SOC constraint comparison for predictive energy management of plug-in hybrid electric bus," Applied Energy, Elsevier, vol. 194(C), pages 578-587.
    11. Andrzej Łebkowski, 2019. "Studies of Energy Consumption by a City Bus Powered by a Hybrid Energy Storage System in Variable Road Conditions," Energies, MDPI, vol. 12(5), pages 1-39, March.
    12. Gay, Destine & Rogers, Tom & Shirley, Rebekah, 2018. "Small island developing states and their suitability for electric vehicles and vehicle-to-grid services," Utilities Policy, Elsevier, vol. 55(C), pages 69-78.
    13. Zhang, Pei & Yan, Fuwu & Du, Changqing, 2015. "A comprehensive analysis of energy management strategies for hybrid electric vehicles based on bibliometrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 88-104.
    14. Jingang Han & Jean-Frederic Charpentier & Tianhao Tang, 2014. "An Energy Management System of a Fuel Cell/Battery Hybrid Boat," Energies, MDPI, vol. 7(5), pages 1-22, April.
    15. Peng, Jiankun & He, Hongwen & Xiong, Rui, 2017. "Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming," Applied Energy, Elsevier, vol. 185(P2), pages 1633-1643.
    16. Waruna Maddumage & Malika Perera & Rahula Attalage & Patrick Kelly, 2021. "Power Management Strategy of a Parallel Hybrid Three-Wheeler for Fuel and Emission Reduction," Energies, MDPI, vol. 14(7), pages 1-30, March.
    17. Popović Vlado & Kilibarda Milorad & Andrejić Milan & Jereb Borut & Dragan Dejan & Keshavarzsaleh Abolfazl, 2018. "Electric Vehicles as Electricity Storages in Electric Power Systems," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 9(2), pages 57-72, October.
    18. Liu, Hanwu & Lei, Yulong & Fu, Yao & Li, Xingzhong, 2022. "A novel hybrid-point-line energy management strategy based on multi-objective optimization for range-extended electric vehicle," Energy, Elsevier, vol. 247(C).
    19. Loris Di Natale & Luca Funk & Martin Rüdisüli & Bratislav Svetozarevic & Giacomo Pareschi & Philipp Heer & Giovanni Sansavini, 2021. "The Potential of Vehicle-to-Grid to Support the Energy Transition: A Case Study on Switzerland," Energies, MDPI, vol. 14(16), pages 1-24, August.
    20. Gallo, A.B. & Simões-Moreira, J.R. & Costa, H.K.M. & Santos, M.M. & Moutinho dos Santos, E., 2016. "Energy storage in the energy transition context: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 800-822.

    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:7:y:2013:i:1:p:99-114:d:31787. 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.