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

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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
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    References listed on IDEAS

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    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. 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.
    3. 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.
    4. repec:cdl:itsdav:qt9n905017 is not listed on IDEAS
    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.
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    Citations

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    Cited by:

    1. Ahmed, Abdelsalam A. & Ramadan, Haitham S., 2020. "Prototype implementation of advanced electric vehicles drivetrain system: Verification and validation," Applied Energy, Elsevier, vol. 266(C).
    2. 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).
    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).

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