4.8 Article

Sliding mode based adaptive linear neuron proportional resonant control of Vienna rectifier for performance improvement of electric vehicle charging system

Journal

JOURNAL OF POWER SOURCES
Volume 542, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jpowsour.2022.231788

Keywords

Vienna rectifier; EV charging; Sliding mode control; Proportional resonant control; ADALINE; Harmonics

Funding

  1. Welsh European Funding Office (WEFO) under the European Regional Development Fund (ERDF) [S?r Cymru II 80761-BU-103]
  2. Van Yuzuncu Yil University Scientific Research Projects Coordination Unit (Van, Turkey) [FYD-2021-9636]

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This paper proposes a sliding mode based adaptive linear neuron-proportional resonant control solution to enhance the performance of electric vehicle charging systems under unbalanced and distorted grid conditions. The proposed method achieves fast and robust regulation of voltage and constant battery current.
With a strong expansion of transportation electrification, electric vehicle charging systems are becoming very important part of the electrified powertrain. This paper proposes a sliding mode based adaptive linear neuron (ADALINE)-proportional resonant (PR) control solution to enhance performance of Vienna rectifier (VR), an AC-DC converter, as a charger for series-linked battery packs of electric vehicles (EVs) operating under unbalanced and distorted grid conditions. A sliding-mode control (SMC) has been utilized for the fast and robust regulation of DC-link voltage while ADALINE-PR control is proposed to regulate the source current errors through the real-time adaptation of the controller gains. Another contribution of this paper is to derive reference current signals without complex positive and negative sequences component separation, coordinate transformation and phase-locked loop. Besides, constant and pure battery current during charging/discharging is achieved in contrast to the previous studies. The proposed control algorithm achieves superior dynamic and steady-state performances and eliminate harmonics of source currents and ripples in active power, DC-link voltage and battery current compared to the existing studies. The proposed method has been implemented in a digital signal processor (DSP) TMS320F28335 within a processor in the loop (PIL) quasi-real-time setting. Extensive comparative results demonstrate the effectiveness of proposed control algorithm.

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