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<p>This paper presents an overall control framework for a grid integrated DC Fast Charging Station (DCFCS). The proposed control approach introduces an equivalent control for a half-bridge Bidirectional DC-DC Converter (BDC) by incorporating a Modified Particle Swarm Optimization (PSO) integrated with the Sliding Mode Control (SMC) concept within a State Space Modeling (SSM) framework. The state space modeling-based controller design greatly reduces the design complexity of BDC, among others. Additionally, it guarantees an excellent transient performance during various dynamic load conditions like sudden Electric Vehicle (EV) plug-in/unplug. The robustness of the control approach outlined in the work has been validated for varying battery characteristics like pole oxidation condition. The front-end converter utilizing the sinusoidal current extraction strategy furnished with a positive sequence extractor ensures a minimized harmonic distortion and guarantees a near to Unity Power Factor (UPF) operation even under unbalanced grid scenarios. Tata Nexon EV Medium Range model has been considered in this study, with a Lithium-ion battery capacity of 30.2&#xa0;kWh. The effectiveness of the developed control method has been evaluated in terms of source-side and load side disturbances in MATLAB/ Simulink environment. A faster Constant Current (CC) to Constant Voltage (CV) transition within 0.37&#xa0;s and a rapid settling of Grid to Vehicle (G2V) and Vehicle to Grid (V2G) mode within 0.05&#xa0;s is ensured by the suggested BDC control. Additionally, the proposed control approach guarantees a smooth battery current response under sudden load change conditions compared to other non-State Space Model (SSM) method. The performance of the outlined control approach also has been verified using a 250&#xa0;W hardware prototype and the results obtained assure the suitability of the proposed control technique in fast charging&#xa0;applications.</p>

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A distinctive optimized sliding mode control approach for grid-connected bidirectional DC-DC converters in DC fast charging stations with G2V and V2G support

  • 期刊论文

  • 发表日期：

    2026年4月20日

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  • E. P. Sangeetha,
  • N. Subashini,
  • S. Augusti Lindiya,
  • D. Uma

摘要

This paper presents an overall control framework for a grid integrated DC Fast Charging Station (DCFCS). The proposed control approach introduces an equivalent control for a half-bridge Bidirectional DC-DC Converter (BDC) by incorporating a Modified Particle Swarm Optimization (PSO) integrated with the Sliding Mode Control (SMC) concept within a State Space Modeling (SSM) framework. The state space modeling-based controller design greatly reduces the design complexity of BDC, among others. Additionally, it guarantees an excellent transient performance during various dynamic load conditions like sudden Electric Vehicle (EV) plug-in/unplug. The robustness of the control approach outlined in the work has been validated for varying battery characteristics like pole oxidation condition. The front-end converter utilizing the sinusoidal current extraction strategy furnished with a positive sequence extractor ensures a minimized harmonic distortion and guarantees a near to Unity Power Factor (UPF) operation even under unbalanced grid scenarios. Tata Nexon EV Medium Range model has been considered in this study, with a Lithium-ion battery capacity of 30.2 kWh. The effectiveness of the developed control method has been evaluated in terms of source-side and load side disturbances in MATLAB/ Simulink environment. A faster Constant Current (CC) to Constant Voltage (CV) transition within 0.37 s and a rapid settling of Grid to Vehicle (G2V) and Vehicle to Grid (V2G) mode within 0.05 s is ensured by the suggested BDC control. Additionally, the proposed control approach guarantees a smooth battery current response under sudden load change conditions compared to other non-State Space Model (SSM) method. The performance of the outlined control approach also has been verified using a 250 W hardware prototype and the results obtained assure the suitability of the proposed control technique in fast charging applications.