A Novel Energy Management Strategy in Electric Vehicle Based on H∞ Self-gain Scheduled for Linear Parameter Varying Systems

Mehdi Sellali, Achour Betka, Abdesslem Djerdir, Y. Yang, Imene Bahri, Said Drid

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstrakt

The present paper exhibits a real time assessment of a robust Energy Management Strategy (EMS) for battery-super capacitor (SC) Hybrid Energy Storage System (HESS). The proposed algorithm, dedicated to an electric vehicular application, is based on a self-gain scheduled controller, which guarantees the H∞ performance for a class of linear parameter varying (LPV) systems. Assuming that the duty cycle of the involved DC-DC converters are considered as the variable parameters, that can be captured in real time, and forwarded to the controller to ensure both; the performance and robustness of the closed-loop system. The subsequent controller is therefore time-varying and it is automatically scheduled according to each parameter variation. This algorithm has been validated through experimental results provided by a tailor-made test bench including both the HESS and the vehicle traction emulation system. The experimental results demonstrate the overall stability of the system, where the proposed LPV supervisor successfully accomplishes a power frequency splitting in an adequate way, respecting the dynamic of the sources. The proposed solution provides significant performances for different speed levels.
OriginalsprogEngelsk
TidsskriftIEEE Transactions on Energy Conversion
Vol/bindPP
Udgave nummer99
Sider (fra-til)1-13
Antal sider13
ISSN0885-8969
DOI
StatusAccepteret/In press - aug. 2020

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