Ahmed, HafizCelik, Dogan2025-05-102025-05-1020220378-77531873-275510.1016/j.jpowsour.2022.2317882-s2.0-85133217404https://doi.org/10.1016/j.jpowsour.2022.231788https://hdl.handle.net/20.500.14720/14197Ahmed, Hafiz/0000-0001-8952-4190With 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.eninfo:eu-repo/semantics/openAccessVienna RectifierEv ChargingSliding Mode ControlProportional Resonant ControlAdalineHarmonicsArticle542Q1Q1WOS:000826542900003