Grid Interactive Charging Station using ZAJO-NLMS Adaptive Filtering Technique with Improved Power Quality for EV Applications

2021 ◽  
Author(s):  
Dulichand Jaraniya ◽  
Shailendra Kumar
Keyword(s):  
Power Quality ◽  
Adaptive Filtering ◽  
Charging Station ◽  
Filtering Technique

Smart Battery Charging Station for ElectricVehicle Using Half Bridge Power Converter

2018 ◽  
Vol 19 (4) ◽  
Author(s):  
B. R. Ananthapadmanabha ◽  
Rakesh Maurya ◽  
Sabha Raj Arya ◽  
B. Chitti Babu
Keyword(s):  
Power Quality ◽  
Distribution System ◽  
Reactive Power ◽  
Supply Voltage ◽  
Power Converter ◽  
Constant Current ◽  
Battery Charging ◽  
Charging Station ◽  
Simulink Model ◽  
Smart Charging

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.

scholarly journals Active proportional electromyogram controlled functional electrical stimulation system

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bethel A. C. Osuagwu ◽  
Emily Whicher ◽  
Rebecca Shirley
Keyword(s):  
Electrical Stimulation ◽  
Adaptive Filtering ◽  
Functional Electrical Stimulation ◽  
Comb Filter ◽  
Online Application ◽  
Present Technique ◽  
Filtering Technique ◽  
Stimulation System ◽  
Filter Approach ◽  
Intentional Movement

AbstractNeurophysiological theories and past studies suggest that intention driven functional electrical stimulation (FES) could be effective in motor neurorehabilitation. Proportional control of FES using voluntary EMG may be used for this purpose. Electrical artefact contamination of voluntary electromyogram (EMG) during FES application makes the technique difficult to implement. Previous attempts to date either poorly extract the voluntary EMG from the artefacts, require a special hardware or are unsuitable for online application. Here we show an implementation of an entirely software-based solution that resolves the current problems in real-time using an adaptive filtering technique with an optional comb filter to extract voluntary EMG from muscles under FES. We demonstrated that unlike the classic comb filter approach, the signal extracted with the present technique was coherent with its noise-free version. Active FES, the resulting EMG-FES system was validated in a typical use case among fifteen patients with tetraplegia. Results showed that FES intensity modulated by the Active FES system was proportional to intentional movement. The Active FES system may inspire further research in neurorehabilitation and assistive technology.

Power Quality Problems at Electric Vehicle's Charging Station

1994 ◽  
Author(s):  
George G. Karady ◽  
Shahin H. Berisha ◽  
Tracy Blake ◽  
Ray Hobbs
Keyword(s):  
Power Quality ◽  
Charging Station

Analysis On-Board Charger to the Influence of Power Quality

2013 ◽  
Vol 724-725 ◽  
pp. 1330-1335
Author(s):  
Dong Ming Jia ◽  
Chun Lin Guo ◽  
Yu Bo Fan ◽  
Zhe Ci Tang
Keyword(s):  
Power Quality ◽  
Test Data ◽  
Reactive Power ◽  
Charging Station ◽  
Electric Car ◽  
Current Voltage ◽  
Capacitive Load ◽  
National Power ◽  
Small Distortion ◽  
Frequency Harmonic

In this paper, one on-board charger in the charging station will be used to test its charging process. We screen the data which has the typical characteristics of power parameters from test data, and compared with the national power quality standards. We can get the following conclusions: (1) The electric car battery is capacitive load, it may transfer the reactive power to grid in the process of charging;(2) The test data imply that frequency deviation, power factor and VTHD e.g. indexes are qualified;(3) On-board charger is mainly produced the odd harmonics in the process of charging, with the increase of harmonic frequency, harmonic contain lower rate;(4) In practice, harmonic mainly reflects on the current, voltage only has a small distortion.

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