IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0239608.html
   My bibliography  Save this article

Clamping force control of electro–mechanical brakes based on driver intentions

Author

Listed:
  • Jing Li
  • Tong Wu
  • Tianxin Fan
  • Yan He
  • Lingshuai Meng
  • Zuoyue Han

Abstract

Electro–mechanical brakes (EMBs) are the future of braking systems, particularly in commercial vehicles. Therefore, it is important to design a simple EMB scheme and establish its clamping force control strategy to satisfy the demands of commercial vehicle braking systems. This study proposes a pneumatic disc–brake–based EMB for an electric bus. Its working principle was established, and the system model was analyzed. Subsequently, the hidden Markov models (HMMs) of driver decelerate and brake intentions were built and recognized based on the analytic hierarchy process (AHP). Given the time–consuming behavior of the proposed EMB to eliminate brake clearance due to the leverage effect of the arm and motor performance limitation, a clamping force control strategy factoring in the driver intentions was developed to improve the response performance without changing the structure or size of the EMB. Furthermore, simulation analyses were performed using MATLAB/Simulink. The results confirmed that under the action of a step and 5 Hz triangular sawtooth signals, the clamping force output from the EMB corresponds well with the target signal. The clamping force gradually increases when approaching the target without overshoot and jitter during the process. The overall clamping force response time is decreased by approximately 0.25 s under the driver emergency brake than the conventional control method. Hence, the response performance of the EMB is improved.

Suggested Citation

  • Jing Li & Tong Wu & Tianxin Fan & Yan He & Lingshuai Meng & Zuoyue Han, 2020. "Clamping force control of electro–mechanical brakes based on driver intentions," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-30, September.
    • Handle: RePEc:plo:pone00:0239608
    DOI: 10.1371/journal.pone.0239608
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0239608
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0239608&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0239608?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sangjune Eum & Jihun Choi & Sang-Shin Park & Changhee Yoo & Kanghyun Nam, 2017. "Robust Clamping Force Control of an Electro-Mechanical Brake System for Application to Commercial City Buses," Energies, MDPI, vol. 10(2), pages 1-12, February.
    2. Hu, Xiaosong & Zou, Yuan & Yang, Yalian, 2016. "Greener plug-in hybrid electric vehicles incorporating renewable energy and rapid system optimization," Energy, Elsevier, vol. 111(C), pages 971-980.
    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. Yang, Chao & Sun, Tonglin & Wang, Weida & Li, Ying & Zhang, Yuhang & Zha, Mingjun, 2024. "Regenerative braking system development and perspectives for electric vehicles: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    2. 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.
    3. Mustapha Al Sakka & Thomas Geury & Mohamed El Baghdadi & Miguel Dhaens & Monzer Al Sakka & Omar Hegazy, 2022. "Review of Fault Tolerant Multi-Motor Drive Topologies for Automotive Applications," Energies, MDPI, vol. 15(15), pages 1-24, July.
    4. Yinhang Wang & Liqing Zhou & Liang Chu & Di Zhao & Zhiqi Guo & Zewei Jiang, 2024. "A Multi-Source Braking Force Control Method for Electric Vehicles Considering Energy Economy," Energies, MDPI, vol. 17(9), pages 1-31, April.

    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. Shaobo Xie & Xiaosong Hu & Kun Lang & Shanwei Qi & Tong Liu, 2018. "Powering Mode-Integrated Energy Management Strategy for a Plug-In Hybrid Electric Truck with an Automatic Mechanical Transmission Based on Pontryagin’s Minimum Principle," Sustainability, MDPI, vol. 10(10), pages 1-23, October.
    2. Wu, Xiaohua & Hu, Xiaosong & Yin, Xiaofeng & Zhang, Caiping & Qian, Shide, 2017. "Optimal battery sizing of smart home via convex programming," Energy, Elsevier, vol. 140(P1), pages 444-453.
    3. Chattopadhyay, Kabitri & Kies, Alexander & Lorenz, Elke & von Bremen, Lüder & Heinemann, Detlev, 2017. "The impact of different PV module configurations on storage and additional balancing needs for a fully renewable European power system," Renewable Energy, Elsevier, vol. 113(C), pages 176-189.
    4. Xie, Shaobo & Hu, Xiaosong & Qi, Shanwei & Lang, Kun, 2018. "An artificial neural network-enhanced energy management strategy for plug-in hybrid electric vehicles," Energy, Elsevier, vol. 163(C), pages 837-848.
    5. Pirouzi, Sasan & Aghaei, Jamshid & Niknam, Taher & Shafie-khah, Miadreza & Vahidinasab, Vahid & Catalão, João P.S., 2017. "Two alternative robust optimization models for flexible power management of electric vehicles in distribution networks," Energy, Elsevier, vol. 141(C), pages 635-651.
    6. Yang, Chao & Sun, Tonglin & Wang, Weida & Li, Ying & Zhang, Yuhang & Zha, Mingjun, 2024. "Regenerative braking system development and perspectives for electric vehicles: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    7. Seung-Koo Baek & Hyuck-Keun Oh & Joon-Hyuk Park & Yu-Jeong Shin & Seog-Won Kim, 2019. "Evaluation of Efficient Operation for Electromechanical Brake Using Maximum Torque per Ampere Control," Energies, MDPI, vol. 12(10), pages 1-13, May.
    8. Gaizka Saldaña & Jose Ignacio San Martin & Inmaculada Zamora & Francisco Javier Asensio & Oier Oñederra, 2019. "Electric Vehicle into the Grid: Charging Methodologies Aimed at Providing Ancillary Services Considering Battery Degradation," Energies, MDPI, vol. 12(12), pages 1-37, June.
    9. WenBo Xiao & Gina Nazario & HuaMing Wu & HuaMing Zhang & Feng Cheng, 2017. "A neural network based computational model to predict the output power of different types of photovoltaic cells," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-8, September.
    10. Guo, Hongqiang & Lu, Silong & Hui, Hongzhong & Bao, Chunjiang & Shangguan, Jinyong, 2019. "Receding horizon control-based energy management for plug-in hybrid electric buses using a predictive model of terminal SOC constraint in consideration of stochastic vehicle mass," Energy, Elsevier, vol. 176(C), pages 292-308.
    11. Kumar Sharma, Ameesh & Thakur, N.S., 2017. "Energy situation, current status and resource potential of run of the river (RoR) large hydro power projects in Jammu and Kashmir: India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 233-251.
    12. Wang, Hong & Huang, Yanjun & Khajepour, Amir & Song, Qiang, 2016. "Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle," Applied Energy, Elsevier, vol. 182(C), pages 105-114.
    13. Ma, Shaohua & Wang, Shuli & Zhang, Chengning & Zhang, Shuo, 2017. "A method to improve the efficiency of an electric aircraft propulsion system," Energy, Elsevier, vol. 140(P1), pages 436-443.
    14. Congcong Li & Guirong Zhuo & Chen Tang & Lu Xiong & Wei Tian & Le Qiao & Yulin Cheng & Yanlong Duan, 2023. "A Review of Electro-Mechanical Brake (EMB) System: Structure, Control and Application," Sustainability, MDPI, vol. 15(5), pages 1-38, March.
    15. Goel, Sonali & Sharma, Renu, 2017. "Performance evaluation of stand alone, grid connected and hybrid renewable energy systems for rural application: A comparative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1378-1389.
    16. Yong Zhang & Miner Zhong & Nana Geng & Yunjian Jiang, 2017. "Forecasting electric vehicles sales with univariate and multivariate time series models: The case of China," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-15, May.
    17. Juntao Fei & Yunkai Zhu, 2017. "Adaptive fuzzy sliding control of single-phase PV grid-connected inverter," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    18. Liu, Teng & Wang, Bo & Yang, Chenglang, 2018. "Online Markov Chain-based energy management for a hybrid tracked vehicle with speedy Q-learning," Energy, Elsevier, vol. 160(C), pages 544-555.
    19. Ming Foong Soong & Rahizar Ramli & Ahmad Saifizul, 2017. "Between simplicity and accuracy: Effect of adding modeling details on quarter vehicle model accuracy," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-23, June.
    20. Liu, Hui & Duan, Zhu & Chen, Chao, 2020. "Wind speed big data forecasting using time-variant multi-resolution ensemble model with clustering auto-encoder," Applied Energy, Elsevier, vol. 280(C).

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0239608. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.