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Novel control implementation for electric vehicles based on fuzzy -back stepping approach

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  • Sellali, M.
  • Betka, A.
  • Drid, S.
  • Djerdir, A.
  • Allaoui, L.
  • Tiar, M.

Abstract

The present paper deals with a real-time assessment of a fuzzy –backstepping based control applied to a battery-supercapacitor (SC) hybrid energy storage system (HESS). To properly emulate the behavior of an electric vehicle, the proposed topology is extended to a PMSM drive, that represents the traction part. The proposed control scheme is divided into two parts: The first part plans a fuzzy logic power management approach, to operate the system in a smart way: First, It ensures an optimal load power-sharing, focusing the operation of the involved sources in a safe mode. Second, a quite regulation of both the dc bus and the SC voltage without additional controllers. The second part proposes a back-stepping direct torque control (BS-DTC), associated to a space vector modulation (SVM) strategy, to ensure decoupled torque and flux control of the PMSM machine. The experimental results, conducted on a small-scale system, controlled via two dSPACE 1104 cards, prove the effectiveness of the proposed control techniques, with good performances in dynamic and steady state.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:178:y:2019:i:c:p:644-655
    DOI: 10.1016/j.energy.2019.04.146
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    Cited by:

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    2. Chen, Shi-An & Jiang, Xu-Dong & Yao, Ming & Jiang, Shun-Ming & Chen, Jinzhou & Wang, Ya-Xiong, 2020. "A dual vibration reduction structure-based self-powered active suspension system with PMSM-ball screw actuator via an improved H2/H∞ control," Energy, Elsevier, vol. 201(C).
    3. Zehra, Syeda Shafia & Ur Rahman, Aqeel & Ahmad, Iftikhar, 2022. "Fuzzy-barrier sliding mode control of electric-hydrogen hybrid energy storage system in DC microgrid: Modelling, management and experimental investigation," Energy, Elsevier, vol. 239(PD).
    4. Singh, Krishna Veer & Bansal, Hari Om & Singh, Dheerendra, 2021. "Fuzzy logic and Elman neural network tuned energy management strategies for a power-split HEVs," Energy, Elsevier, vol. 225(C).

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