Optimal scheduling of PHEVs in a PV based charging station

Kamal, Tariq; Mithulananthan, Nadarajah; Hassan, Syed Zulqadar; Li, Hui; Mehmood, Faizan; Hussain, Izhar; Cevher, Barış

doi:10.1109/icet.2016.7813271

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Already a changeover switch for transition from load to battery is shown in the simulation circuit of secondary side control with LUO converter: in that if the switch is in ON (1) position, the PI controller will be ON and the LUO converter enabled, and the converter output is applied to the load. Similarly, if the switch is in OFF (0) position, the charging controller [11][12][13] will be ON and the LUO converter enabled, and the converter output is applied to the battery. This waveform will clearly explain the variation of duty cycle and the importance of secondary side control by the LUO converter, where battery charging 14,15 can be done with high duty ratio when compared to the inverter connected to the LED load.…”

Section: Simulation Of Ipt Full System Control (Primary and Secondary...mentioning

confidence: 99%

Optimization of power losses in electric vehicle battery by wireless charging method with consideration of the laser optic effect

Nayagam

Premalatha

2020

Measurement and Control

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This work mainly deals with replacing the wired power transmission method for charging electric vehicle with the help of an efficient wireless power transmission method. For identifying an efficient wireless power transmission method, the inductive power transfer method and the laser optic method are taken into consideration to charge the electric vehicle battery. These methods are compared by hardware implementation for various conditions. Wireless power transmission is an emerging technology utilized to charge the electric vehicle battery through an air gap. The use of this new charging technique is due to its easy access from annoying charging cables, better efficiency, and smaller charging time. Also, it contributes to the remarkable reduction of pollutants and carbon dioxide (CO 2 ) emissions into the atmosphere by the conventional vehicles. However, the implementation of inductive charging for electric vehicle still presents challenges in terms of power transfer efficiency, transmission distance, utilization of heavy batteries with ripple-free and charging time, and stress on compensation network to maintain resonant condition for maximum power transfer. This system will be verified through the simulation in MATLAB/Simulink environment. The simulation results of the inductive power transfer method and the comparison of hardware setup results with laser optic hardware setup have to be verified.

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Section: Simulation Of Ipt Full System Control (Primary and Secondary...mentioning

confidence: 99%

Optimization of power losses in electric vehicle battery by wireless charging method with consideration of the laser optic effect

Nayagam

Premalatha

2020

Measurement and Control

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“…In order to control the injected power flow into the connected battery, the authors in [15,16] proposed a SOC estimation technique for Li-Ion battery based on a DSP hardware that can be used as a real-time tool for the embedded system platforms. The software tools required to set such control strategies are Matlab/Simulink, and Code Composer [17][18][19]. The works in [20] are closely related to the present work, it describes a power electronics laboratory that consists of Simulink and TI F28035 processor in order to control DC/DC converters.…”

Section: Introductionmentioning

confidence: 99%

Experimental implementation of a smart battery charger for electric vehicles charging station

Hassoune

Khafallah

Mesbahi

et al. 2020

IJPEDS

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In this paper, an implementation of a DC/DC buck converter for electric vehicles charging station and a DSP based closed-loop digital controller design are presented and analyzed. The aim of this work is to achieve an improved control strategy for a Li-ion battery charger implemented on a Real-time test platform. The test platform consists of a popular power pole board (MPCA75136) dedicated to studying the DC/DC converters, and a DSP development kit (TMS320F28379D) that is used to drive the DC/DC buck converter. The control strategy is based on a digital control system containing the closed-loop current controller followed by a pulse width modulation block, and on a real time state of charge estimation technique for a Li-ion battery. However, the overall control design is modeled on Simulink via block diagrams, and automatically generated code that is targeted into the DSP processor. Simulation and experimental results have shown the effectiveness of the proposed test bench and its external digital control strategy via a charging scenario for electric vehicles batteries.

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“…In a decentralised approach, the EV owner makes the final decision of the scheduling [9]. Priority‐based scheduling at PVCS has also been implemented which allows the EV owner to decide the charging or parking duration at the charging station [12].…”

Section: Introductionmentioning

confidence: 99%

Electric vehicle charge scheduling (EVCS) with PV assistance for variable energy purchase in a multi‐aggregator environment

Gupta

Kumar

et al. 2019

J. eng.

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Optimal scheduling of PHEVs in a PV based charging station

Cited by 5 publications

References 12 publications

Optimization of power losses in electric vehicle battery by wireless charging method with consideration of the laser optic effect

Optimization of power losses in electric vehicle battery by wireless charging method with consideration of the laser optic effect

Experimental implementation of a smart battery charger for electric vehicles charging station

Electric vehicle charge scheduling (EVCS) with PV assistance for variable energy purchase in a multi‐aggregator environment

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