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Novel Energy Management Technique for Hybrid Electric Vehicle via Interconnection and Damping Assignment Passivity Based Control

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  • Benmouna, Amel
  • Becherif, Mohamed
  • Depernet, Daniel
  • Ebrahim, Mohamed A.

Abstract

The energy management of Hybrid Electric Vehicles (HEV) has witnessed significant academic and industrial attention in recent years. Indeed, the use of different power sources in HEV requires both smart and efficient energy management scheme to split and manage power among them. The energy management strategy should enable continuous supply load balance. In HEVs, the energy management procedure should consider the constraints of load and the different available sources. The fundamental contribution of this paper is the energy management in the HEV in presence of faults in the fuel cell (FC) level while considering battery state of charge constraints. For the flexibility and durability of the proposed energy management scheme, the system mathematical modeling using Port-Controlled Hamiltonian (PCH) approach is developed. Therefore, the Interconnection and Damping Assignment Passivity Based Control (IDA-PBC) is used for a smartly energy management. According to the simulation results, the IDA-PBC is an adequate nonlinear control method that guarantees the stability of the system.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:119:y:2018:i:c:p:116-128
    DOI: 10.1016/j.renene.2017.11.051
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    References listed on IDEAS

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    Cited by:

    1. Qicheng Xue & Xin Zhang & Teng Teng & Jibao Zhang & Zhiyuan Feng & Qinyang Lv, 2020. "A Comprehensive Review on Classification, Energy Management Strategy, and Control Algorithm for Hybrid Electric Vehicles," Energies, MDPI, vol. 13(20), pages 1-30, October.
    2. Xueqin Lü, & Wu, Yinbo & Lian, Jie & Zhang, Yangyang, 2021. "Energy management and optimization of PEMFC/battery mobile robot based on hybrid rule strategy and AMPSO," Renewable Energy, Elsevier, vol. 171(C), pages 881-901.
    3. Benmouna, A. & Becherif, M. & Boulon, L. & Dépature, C. & Ramadan, Haitham S., 2021. "Efficient experimental energy management operating for FC/battery/SC vehicles via hybrid Artificial Neural Networks-Passivity Based Control," Renewable Energy, Elsevier, vol. 178(C), pages 1291-1302.
    4. Sellali, M. & Betka, A. & Drid, S. & Djerdir, A. & Allaoui, L. & Tiar, M., 2019. "Novel control implementation for electric vehicles based on fuzzy -back stepping approach," Energy, Elsevier, vol. 178(C), pages 644-655.
    5. Vamsi Krishna Reddy, Aala Kalananda & Venkata Lakshmi Narayana, Komanapalli, 2022. "Meta-heuristics optimization in electric vehicles -an extensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    6. Ihor Shchur & Marek Lis & Yurii Biletskyi, 2021. "Passivity-Based Control of Water Pumping System Using BLDC Motor Drive Fed by Solar PV Array with Battery Storage System," Energies, MDPI, vol. 14(23), pages 1-25, December.

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