Chaos embedded particle swarm optimization algorithm-based solar optimal ReflexTM frequency charge

Abstract

The battery temperature rise and charge efficiency during the long-term charge in the sun are a very important topic. The traditional common constant current and constant voltage result in quick temperature rise and influence the charge efficiency indirectly. Therefore, the Reflex TM charge is adopted, the chemical reaction of electrolyte is buffered during discharge, so that the battery temperature rises slightly during charge. However, there is no optimum frequency for switching loss and charge efficiency during Reflex TM charge. Therefore, this paper proposes using chaos embedded particle swarm optimization algorithm (CPOS) to minimize the switching loss of battery in charge and discharge conditions. The battery module in Matlab/Simulink environment is used for solar charge, multiple charge modes are compared with traditional common methods. The simulation results show that the Reflex TM method has improved the battery temperature in Matlab/Simulink, and the State of Charge (SOC) is equivalent to other charge modes. It is proved that the method proposed in this paper has significant effect on switching loss and oscillation, and its charge efficiency is equivalent to traditional quick charge.

Implementation of FPGA-Based Charge Control for a Self-Sufficient Solar Tracking Power Supply System

“…The optimum frequency was calculated using the PSO, improved by the Taguchi method, and a logistic map [3]. The ISE [4] was used to judge the optimum frequency, expressed as Equation (1). ISE represents the aggregate consumption of energy within the designated time for the evaluation of system design performance, and we used e(t) as the optimum switching loss and switching consumption error at various frequencies.…”

“…Finally, the optimum frequency was found based on the system energy consumption criteria of the integral square error (ISE). However, it was only a simulation result and did not discuss the concept of self-sufficient power supply in that study [4]. Therefore, it will be implemented by FPGA chip in this study, and the self-sufficient power supply system will be discussed in this study to verify whether this scheme can act as a self-sufficient power supply.…”

“…After this enhancement it is important to quickly and efficiently convert the electrical energy for storage with the battery [4]. In a solar panel power generation system, the common charge-up methods used include constant current (CC), constant voltage (CV), constant current-constant voltage (CC-CV), pulse charge-up and Reflex charge-up [4].…”

“…They did not consider the charging control of battery. In order to improve their work, a lead-acid battery was used for energy storage in this study because these have been widely applied and the technology is mature [4]. Lead-acid batteries are characterized by low price, are mass-produced and have an extensive range of application.…”

“…There should be an optimum frequency suitable for this system in the Reflex charging process, and the solar charge model built for this study in the MATLAB/Simulink environment was used to compare the various charge modes. The Reflex charging frequency search method was optimized by CPSO [4]. Particle swarm optimization (PSO) was optimized by logistic mapping, and the parameters were optimized using the Taguchi method.…”