Energy management for solar battery charging station

Abstract This paper presents a concept of smart charging station using bidirectional half bridge converter for an electric vehicle. This battery charging station is useful for charging applications along with harmonics and reactive power compensation in a distribution system. A filter which is adaptive to the supply voltage frequency is used for the estimation of the 50 Hz component of load current. Due to additional features of vehicle charger, associated with the power quality improvement, there will be a drastic reduction in the current drawn from utility to meet the same load demand. The charging station presented in this paper is termed as smart with several function. The proposed smart charger is able to improve power quality of residential loads or other loads, not only during charging/discharging of the vehicle battery, but also in the absence of the vehicle. The Simulink model is developed with MATLAB software and its simulation results are presented. The level of current distortion during charging and and discharging mode is recorded 1.6 % and 2.4 % respectively with unity supply power factor during experiments. The performance of converter is evaluated during charging modes both in constant current (CC) and constant voltage (CV) modes.

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Development of Intelligent Drone Battery Charging System Based on Wireless Power Transmission Using Hill Climbing Algorithm

Applied System Innovation ◽

10.3390/asi1040044 ◽

2018 ◽

Vol 1 (4) ◽

pp. 44 ◽

Cited By ~ 3

Author(s):

Ali Rohan ◽

Mohammed Rabah ◽

Muhammad Talha ◽

Sung-Ho Kim

Keyword(s):

Power Transmission ◽

Inductive Coupling ◽

Hill Climbing ◽

Wireless Power ◽

Wireless Power Transmission ◽

Battery Charging ◽

Charging System ◽

Charging Station ◽

Hill Climbing Algorithm ◽

The Poor

In this work, an advanced drone battery charging system is developed. The system is composed of a drone charging station with multiple power transmitters and a receiver to charge the battery of a drone. A resonance inductive coupling-based wireless power transmission technique is used. With limits of wireless power transmission in inductive coupling, it is necessary that the coupling between a transmitter and receiver be strong for efficient power transmission; however, for a drone, it is normally hard to land it properly on a charging station or a charging device to get maximum coupling for efficient wireless power transmission. Normally, some physical sensors such as ultrasonic sensors and infrared sensors are used to align the transmitter and receiver for proper coupling and wireless power transmission; however, in this system, a novel method based on the hill climbing algorithm is proposed to control the coupling between the transmitter and a receiver without using any physical sensor. The feasibility of the proposed algorithm was checked using MATLAB. A practical test bench was developed for the system and several experiments were conducted under different scenarios. The system is fully automatic and gives 98.8% accuracy (achieved under different test scenarios) for mitigating the poor landing effect. Also, the efficiency η of 85% is achieved for wireless power transmission. The test results show that the proposed drone battery charging system is efficient enough to mitigate the coupling effect caused by the poor landing of the drone, with the possibility to land freely on the charging station without the worry of power transmission loss.

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Unified energy management and load control in building equipped with wind-solar-battery incorporating electric and hydrogen vehicles under both connected to the grid and islanding modes

Energy ◽

10.1016/j.energy.2018.11.131 ◽

2019 ◽

Vol 168 ◽

pp. 919-930 ◽

Cited By ~ 33

Author(s):

Hasan Mehrjerdi ◽

Mosayeb Bornapour ◽

Reza Hemmati ◽

Seyyed Mohammad Sadegh Ghiasi

Keyword(s):

Energy Management ◽

Load Control ◽

Solar Battery

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