IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v175y2019icp309-319.html
   My bibliography  Save this article

Compound control for energy management of the hybrid ultracapacitor-battery electric drive systems

Author

Listed:
  • Peng, Hui
  • Wang, Junzheng
  • Shen, Wei
  • Shi, Dawei
  • Huang, Yuan

Abstract

This paper proposes a compound control framework for energy management of hybrid ultracapacitor-battery electric drive system. It includes a topology and compound controllers. The topology guarantees that the ultracapacitor current and the battery current can be controlled individually. In addition, the control of the hybrid power source is linked with the control of the electric drive system directly. Compound controllers include an active disturbance rejection controller, two current controllers and two operational modes switch controllers. Active disturbance rejection controller is applied in the control of the ultracapacitor in a load-following mode. Current controllers are applied to control the battery current and the charge current of the ultracapacitor. Event trigger based operational modes switch controllers coordinate the active disturbance rejection controller and the current controllers. The advantages of the proposed compound control are that ultracapacitor supplies peak and ripple current while battery supplies smooth and steady current; the control of the hybrid power source is linked with the control of the electric drive system; the high power discharge ability of ultracapacitor is used to reject disturbance. The experimental results validate the performance of the proposed control framework in this work.

Suggested Citation

  • Peng, Hui & Wang, Junzheng & Shen, Wei & Shi, Dawei & Huang, Yuan, 2019. "Compound control for energy management of the hybrid ultracapacitor-battery electric drive systems," Energy, Elsevier, vol. 175(C), pages 309-319.
    • Handle: RePEc:eee:energy:v:175:y:2019:i:c:p:309-319
    DOI: 10.1016/j.energy.2019.03.088
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421930492X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.03.088?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Yujie & Liu, Chang & Pan, Rui & Chen, Zonghai, 2017. "Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator," Energy, Elsevier, vol. 121(C), pages 739-750.
    2. Burke, Andrew, 2000. "Ultracapacitors: Why, How, and Where is the Technology," Institute of Transportation Studies, Working Paper Series qt9n905017, Institute of Transportation Studies, UC Davis.
    3. Li, Maobing & Xu, Hui & Li, Weimin & Liu, Yin & Li, Fade & Hu, Yue & Liu, Li, 2016. "The structure and control method of hybrid power source for electric vehicle," Energy, Elsevier, vol. 112(C), pages 1273-1285.
    4. Sarrias-Mena, Raúl & Fernández-Ramírez, Luis M. & García-Vázquez, Carlos Andrés & Jurado, Francisco, 2014. "Fuzzy logic based power management strategy of a multi-MW doubly-fed induction generator wind turbine with battery and ultracapacitor," Energy, Elsevier, vol. 70(C), pages 561-576.
    5. Wang, Hong & Huang, Yanjun & Khajepour, Amir & He, Hongwen & Cao, Dongpu, 2017. "A novel energy management for hybrid off-road vehicles without future driving cycles as a priori," Energy, Elsevier, vol. 133(C), pages 929-940.
    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. Wu, Zhenlong & Yuan, Jie & Liu, Yanhong & Li, Donghai & Chen, YangQuan, 2021. "An active disturbance rejection control design with actuator rate limit compensation for the ALSTOM gasifier benchmark problem," Energy, Elsevier, vol. 227(C).
    2. Ahmed, Abdelsalam A. & Ramadan, Haitham S., 2020. "Prototype implementation of advanced electric vehicles drivetrain system: Verification and validation," Applied Energy, Elsevier, vol. 266(C).
    3. Hsieh, Chuang-Yu & Pei, Pucheng & Bai, Qiang & Su, Ay & Weng, Fang-Bor & Lee, Chi-Yuan, 2021. "Results of a 200 hours lifetime test of a 7 kW Hybrid–Power fuel cell system on electric forklifts," Energy, Elsevier, vol. 214(C).
    4. Quintana, Jose J. & Ramos, Alejandro & Diaz, Moises & Nuez, Ignacio, 2021. "Energy efficiency analysis as a function of the working voltages in supercapacitors," Energy, Elsevier, vol. 230(C).

    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. Wang, Yujie & Sun, Zhendong & Li, Xiyun & Yang, Xiaoyu & Chen, Zonghai, 2019. "A comparative study of power allocation strategies used in fuel cell and ultracapacitor hybrid systems," Energy, Elsevier, vol. 189(C).
    2. Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M., 2017. "Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 268-291.
    3. Parwal, Arvind & Fregelius, Martin & Temiz, Irinia & Göteman, Malin & Oliveira, Janaina G. de & Boström, Cecilia & Leijon, Mats, 2018. "Energy management for a grid-connected wave energy park through a hybrid energy storage system," Applied Energy, Elsevier, vol. 231(C), pages 399-411.
    4. 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.
    5. Zhang, Wei & Wang, Jixin & Liu, Yong & Gao, Guangzong & Liang, Siwen & Ma, Hongfeng, 2020. "Reinforcement learning-based intelligent energy management architecture for hybrid construction machinery," Applied Energy, Elsevier, vol. 275(C).
    6. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
    7. Simon Krüner & Christoph M. Hackl, 2022. "Nonlinear Modelling and Control of a Power Smoothing System for a Novel Wave Energy Converter Prototype," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    8. Solomon, A.A. & Faiman, D. & Meron, G., 2012. "Appropriate storage for high-penetration grid-connected photovoltaic plants," Energy Policy, Elsevier, vol. 40(C), pages 335-344.
    9. Pavković, D. & Hoić, M. & Deur, J. & Petrić, J., 2014. "Energy storage systems sizing study for a high-altitude wind energy application," Energy, Elsevier, vol. 76(C), pages 91-103.
    10. Pan, Haihong & Lü, Zhiqiang & Lin, Weilong & Li, Junzi & Chen, Lin, 2017. "State of charge estimation of lithium-ion batteries using a grey extended Kalman filter and a novel open-circuit voltage model," Energy, Elsevier, vol. 138(C), pages 764-775.
    11. Jiang, Cong & Wang, Shunli & Wu, Bin & Fernandez, Carlos & Xiong, Xin & Coffie-Ken, James, 2021. "A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter," Energy, Elsevier, vol. 219(C).
    12. Liu, Guoan & Xu, Cheng & Li, Haomiao & Jiang, Kai & Wang, Kangli, 2019. "State of charge and online model parameters co-estimation for liquid metal batteries," Applied Energy, Elsevier, vol. 250(C), pages 677-684.
    13. da Silva, Samuel Filgueira & Eckert, Jony Javorski & Corrêa, Fernanda Cristina & Silva, Fabrício Leonardo & Silva, Ludmila C.A. & Dedini, Franco Giuseppe, 2022. "Dual HESS electric vehicle powertrain design and fuzzy control based on multi-objective optimization to increase driving range and battery life cycle," Applied Energy, Elsevier, vol. 324(C).
    14. Meng, Jinhao & Cai, Lei & Stroe, Daniel-Ioan & Luo, Guangzhao & Sui, Xin & Teodorescu, Remus, 2019. "Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles," Energy, Elsevier, vol. 185(C), pages 1054-1062.
    15. Yongcun Fan & Haotian Shi & Shunli Wang & Carlos Fernandez & Wen Cao & Junhan Huang, 2021. "A Novel Adaptive Function—Dual Kalman Filtering Strategy for Online Battery Model Parameters and State of Charge Co-Estimation," Energies, MDPI, vol. 14(8), pages 1-18, April.
    16. Ataur Rahman & Kyaw Myo Aung & Sany Ihsan & Raja Mazuir Raja Ahsan Shah & Mansour Al Qubeissi & Mohannad T. Aljarrah, 2023. "Solar Energy Dependent Supercapacitor System with ANFIS Controller for Auxiliary Load of Electric Vehicles," Energies, MDPI, vol. 16(6), pages 1-23, March.
    17. Wang, Bin & Wang, Chaohui & Wang, Zhiyu & Ni, Siliang & Yang, Yixin & Tian, Pengyu, 2023. "Adaptive state of energy evaluation for supercapacitor in emergency power system of more-electric aircraft," Energy, Elsevier, vol. 263(PA).
    18. Guangyue Gu & Youliang Lao & Yaxiong Ji & Shasha Yuan & Haijing Liu & Peng Du, 2023. "Development of hybrid super-capacitor and lead-acid battery power storage systems," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 18, pages 159-166.
    19. Tri Cuong Do & Hoai Vu Anh Truong & Hoang Vu Dao & Cong Minh Ho & Xuan Dinh To & Tri Dung Dang & Kyoung Kwan Ahn, 2019. "Energy Management Strategy of a PEM Fuel Cell Excavator with a Supercapacitor/Battery Hybrid Power Source," Energies, MDPI, vol. 12(22), pages 1-24, November.
    20. Zhao, Xiaowei & Cai, Yishan & Yang, Lin & Deng, Zhongwei & Qiang, Jiaxi, 2017. "State of charge estimation based on a new dual-polarization-resistance model for electric vehicles," Energy, Elsevier, vol. 135(C), pages 40-52.

    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:eee:energy:v:175:y:2019:i:c:p:309-319. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.