scholarly journals Automatic Design of Battery Charging System Power Supply from Photovoltaic Sources Base on Voltage

2021 ◽  
Vol 2117 (1) ◽  
pp. 012011
Author(s):  
S Triwijaya ◽  
A Pradipta ◽  
T Wati
Keyword(s):  
Power Supply ◽  
Control Method ◽  
Automatic Design ◽  
Constant Voltage ◽  
Battery Charging ◽  
Charging System ◽  
Charging Time ◽  
Control Scheme ◽  
Charging Control ◽  
System Power

Abstract Short charging times are desirable from a battery powered system. However, the short charging time must also be considered the reliability of the system. Where the short charging time does not cause damage to the control system and battery. The battery has an important role as a source of power supply when the sun is not bright. By minimizing battery charging time, the battery can be maximally utilized as a power store. So the minimum charging time is obtained, but with maximum storage power. We present battery charging control method and auto switch off on this system. The controller is based on a constant voltage (CV) charge control scheme. In order to keep the parameters constant, this research prototype uses a DC-DC controller. The experimental results show that, the new controller charging period is significantly reduced. Moreover, the proposed controller has high accuracy and minimized battery overcharging.

Implementation of Fuzzy Logic Control on Battery Charging System

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro
Keyword(s):  
Complex System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Experimental Result ◽  
Rule Base ◽  
Battery Charging ◽  
Charging System ◽  
Logic Control ◽  
Charging Control

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.

scholarly journals Regenerative Battery Charging Control Method for PMSM Drive without a DC/DC Converter

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1126
Author(s):  
Ko ◽  
Park ◽  
Lee
Keyword(s):  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Voltage Control ◽  
Control Methods ◽  
Motor Speed ◽  
Battery Charging ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Charging Control ◽  
Low Pass

This paper illustrates regenerative battery charging control method of the permanent magnet synchronous motor (PMSM) drive without DC/DC converter. Conventional control methods for battery current and voltage control methods generally use a bidirectional DC/DC converter for regenerative control. The reason to use this DC/DC converter is the DC-Link current ripple of the inverter of is affected by switching of the inverter and the motor speed. This problem causes to use a low pass filter (LPF) for sensing the DC-link current, however, it occurs deteriorating the control performance. In this paper, battery current and voltage control methods using only the motor drive are illustrated. To control the DC-link current, power control is performed using the look-up table (LUT) data that are extracted from the experiment. In addition, an applicable method for the variable DC-link voltage of the proposed regenerative control method is illustrated.

Magnetorquer Based Vertical Damping Method for Microsatellite Attitude Control

2012 ◽  
Vol 263-266 ◽  
pp. 584-587
Author(s):  
Xu Guang Hou ◽  
Jian Yan ◽  
Jin Jin ◽  
Shun Liang Mei
Keyword(s):  
Power Supply ◽  
Attitude Control ◽  
Control Method ◽  
The Sun ◽  
Extreme Situation ◽  
Control Scheme ◽  
Solar Battery ◽  
Simulation Results ◽  
Electrical Source

Aiming at a three-axis stabilized microsatellite, a novel attitude control method, called magnetorquer based vertical damping, is proposed to avoid the occurrence of the worst situation that the non-solar-battery-plane spins towards the sun. DSP based simulation results based on DSP show that the vertical damping method outperforms the simple damping method when no orbit information is available, simultaneously the whole attitude control scheme is simple and effective. The proposed solution guarantees a stable power supply from the electrical source even under the extreme situation, which improves the reliability of the whole microsatellite system.

scholarly journals An Energy Storage System’s Operational Management and Control Method Considering a Battery System

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 356 ◽  
Author(s):  
Jeong Lee ◽  
Jun-Mo Kim ◽  
Kyung Ryu ◽  
Chung-Yuen Won
Keyword(s):  
Energy Storage ◽  
Control Method ◽  
Thermal Characteristics ◽  
Internal Resistance ◽  
Constant Current ◽  
Efficient Operation ◽  
Charging Time ◽  
Charging Control ◽  
Battery Systems ◽  
In The Beginning

Losses in energy storage systems (ESSs) result from losses in battery systems and power conversion systems (PCSs). Thus, the power difference between the input and output occurs as a loss, which is considered an operational cost. Additionally, since battery systems consist of modules, there is always a temperature difference. Even if voltage balancing is conducted, deviations between the state of health (SoH) and state of charge (SoC) always exist. Therefore, a battery characteristic should be considered in relation to the efficient operation of an ESS. In this paper, charging control is implemented based on the SoC. When errors occur in the beginning, the coulomb counting method (CCM) continues to produce errors; it also calculates the SoC through an improved equation. Thus, it can calculate the SoC by using high-accuracy initial values. Moreover, battery deterioration occurs during charging and discharging, which increases a battery’s internal resistance. This reduces the switching time to the battery cut-off voltage or constant voltage (CV) mode, so it becomes possible to calculate the SoH. Therefore, in this paper, the algorithms and equations are proposed to perform SoH operations according to the charging time that is able to reach CV after charging. A conventional battery is usually charged by using constant current (CC) charging until the voltage of the battery module reaches the cut-off area. A switch to CV then occurs when the cut-off area is reached and maintained. However, SoC-based selective charging control is carried out to prevent heat problems. In addition, the battery is charged safely and efficiently by conducting SoH prediction considering the battery thermal characteristics, which vary depending on the charging time and other characteristics. In this paper, a 3 kW ESS was produced, and the proposed algorithm’s feasibility was verified.

scholarly journals Application of PID optimization control strategy based on particle swarm optimization (PSO) for battery charging system

2020 ◽  
Vol 15 (4) ◽  
pp. 528-535
Author(s):  
Tiezhou Wu ◽  
Cuicui Zhou ◽  
Zhe Yan ◽  
Huigang Peng ◽  
Linzhang Wu
Keyword(s):  
Particle Swarm Optimization ◽  
Control Method ◽  
Dynamic Performance ◽  
Particle Swarm ◽  
Control Effect ◽  
Swarm Optimization ◽  
Battery Charging ◽  
Charging System ◽  
Modified Particle Swarm Optimization ◽  
Charging Efficiency

Abstract The battery charging process has nonlinear and hysteresis properties. PID (Proportion Integration Differentiation) control is a conventional control method used in the battery charging process. The control effect is determined by the PID control parameters ${K}_p$,  ${K}_i$  and  ${K}_d$. The traditional PID parameter setting method is difficult to give the appropriate parameters, which affects the battery charging efficiency. In this paper, the particle swarm optimization (PSO) is used to optimize the PID parameters. Aiming at the defects of basic PSO, such as slow convergence speed, low convergence precision and easy to be premature, a modified particle swarm optimization algorithm is proposed, and the optimized PID parameters are applied to the battery charging control system. Also, the experimental results show that the battery charging process possesses better dynamic performance and the charging efficiency of the battery has increased from 86.44% to 91.47%, and the charging temperature rise has dropped by 1°C.

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