An Optimal Control Algorithm with Reduced DC-Bus Current Fluctuation for Multiple Charging Modes of Electric Vehicle Charging Station

Chen, Tao; Fu, Peng Qiang; Chen, Xiaojiao; Dou, Sheng; Huang, Liansheng; He, Shan

doi:10.3390/wevj12030107

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Hence, the MSCC protocol has been used due to the high charge/discharge energy efficiency and short charging time [17][18][19][20]. In [21], a control strategy for EV charging was proposed based on a three-phase, three-level neutral-point clamped (NPC) rectifier. The controller was optimized using the genetic algorithm (GA) to reduce the DC-bus current fluctuation in the level 1, level 2, and DC modes.…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Analysis of a New Intelligent Charging Controller for Off-Board Electric Vehicles Using PV Standalone System Represented by a Small-Scale Lithium-Ion Battery

2022

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Electric vehicles are rapidly infiltrating the power grid worldwide, initiating an immediate need for a smart charging technique to maintain the stability and robustness of the charging process despite the generation type. Renewable energy sources (RESs), especially photovoltaic (PV), are becoming the essential source for electric vehicle charging points. The stochastic behavior of the PV output power affects the power conversion for regulating the battery charger voltage levels, which influences the battery to overheat and degrade. This study presents a PV standalone smart charging process for off-board plug-in electric vehicles, represented by a small-scale lithium-ion battery based on the multistage charging currents (MSCC) protocol. The charger comprises a DC–DC buck converter controlled by an artificial neural network predictive controller (NNPC), trained and supported by the long short-term memory recurrent neural network (LSTM). The LSTM network model was utilized in the offline forecasting of the PV output power, which was fed to the NNPC as the training data. Additionally, it was used as an alarm flag for any possible PV output shortage during the charging process in the long- and short-term prediction to be supported by any other electricity source. The NNPC–LSTM controller was compared with the fuzzy logic and the conventional PID controllers while varying the input voltage and implementing the MSCC protocol. The proposed charging controller perfectly ensured that the minimum battery terminal voltage ripple and charging current ripple reached 1 mV and 1 mA, respectively, with a very high-speed response of 1 ms in reaching the predetermined charging current stages. The present simulated and experimental results are in good agreement with the previous related work in the literature survey.

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Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Analysis of a New Intelligent Charging Controller for Off-Board Electric Vehicles Using PV Standalone System Represented by a Small-Scale Lithium-Ion Battery

2022

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Simulation of Verification Model of DC Charging Pile for Electric Vehicle Based on Grey Clustering Algorithm

Zhang,

Jin,

Zhang

et al. 2023

2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC)

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Study of the Effects of Current Imbalance in a Multiphase Buck Converter for Electric Vehicles

Reyes-Portillo

Claudio-Sánchez

Morales-Saldaña

et al. 2022

WEVJ

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The excessive use of fossil fuels has caused great concern due to modern environmental problems, particularly air pollution. The above situation demands that different areas of research aim at a sustainable movement to reduce CO2 emissions caused by non-renewable organic fuels. A solution to this problem is the use of Electric Vehicles (EV) for mass transportation of people. However, these systems require high-power DC/DC converters capable of handling high current levels and should feature high efficiencies to charge their batteries. For this application, a single-stage converter is not viable for these applications due to the high current stress in a switch, the low power density, and its low efficiency due to higher switching losses. One solution to this problem is Multiphase Converters, which offer high efficiency, high power density, and low current ripple on the battery side. However, these characteristics are affected by the current imbalance in the phases. This paper is focused on the study of the effects of the current imbalance in a Multiphase Buck Converter, used as an intermediate cover between a power supply and the battery of an EV. Analyzing the efficiency and thermal stress parameters in different scenarios of current balance and current imbalance in each phase.

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An Optimal Control Algorithm with Reduced DC-Bus Current Fluctuation for Multiple Charging Modes of Electric Vehicle Charging Station

Cited by 3 publications

References 20 publications

Theoretical and Experimental Analysis of a New Intelligent Charging Controller for Off-Board Electric Vehicles Using PV Standalone System Represented by a Small-Scale Lithium-Ion Battery

Theoretical and Experimental Analysis of a New Intelligent Charging Controller for Off-Board Electric Vehicles Using PV Standalone System Represented by a Small-Scale Lithium-Ion Battery

Simulation of Verification Model of DC Charging Pile for Electric Vehicle Based on Grey Clustering Algorithm

Study of the Effects of Current Imbalance in a Multiphase Buck Converter for Electric Vehicles

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