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

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

Energy, 2019, vol. 178, issue C, 644-655

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.

Keywords: Fuzzy logic; Back stepping; SVM; Battery; Supercapacitor; PMSM (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:178:y:2019:i:c:p:644-655

DOI: 10.1016/j.energy.2019.04.146

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