## 1 Introduction  
The solar power generation module is connected to a buck, boost or buck-boost converter, with a maximum power point tracker at the output end of solar panel to increase output efficiency. Common algorithms for maximum power point tracking (MPPT) include the variable-step incremental conductance proposed by [PERSON] in 2008 [1] and the perturb and observe (P&O) proposed by [PERSON] in 2005 [2]. Because the efficiency of solar power is seriously affected by the angle of solar irradiation, many scholars have proposed a solar tracking system to keep the solar radiation angle perpendicular to the solar panels. The MPPT can provide an increase in irradiation and enhance the efficiency of power generation [3]. 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]. In terms of current studies of general battery charging, [PERSON] [5] proposed different charging techniques of lead-acid batteries in 2015 for detection of the optimum charging frequency and used multiple charge modes and fixed frequency as a comparison. This increased charging efficiency to a great extent when compared to the old charge modes. In 2006, [PERSON] proposed a fast charge control [6] method, and the final experimental data showed that the battery temperature rise was improved effectively, which had an indirect effect on charging efficiency. In 2012, [PERSON] and [PERSON] compared the charging efficiency in different MPPTs [7]. The results showed that the pulse charge-up method performed more efficiently in both capacity and voltage charging. It improved the battery chemical reaction and prolonged battery life. In 2007, [PERSON] used a 12-V/7-Ah lead-acid battery to test 3C charging [8], and successfully used the Reflex charge-up method to control the temperature level. This showed that Reflex charging contributed to the chemical reaction rate and suppressed the temperature inside a lead-acid battery. In 2005 [9] [PERSON] proposed the ant colony system (ACS) from amongst the many studies on solar battery charging related algorithms and used it to look for the most efficient charge-up method. The ACS system allowed the optimal solution to be found in a short time. The multichannel battery test advantage and the clonal genetic algorithm were also used. In 2012, [PERSON] proposed the extremum search of Genetic algorithms (GA) in a PI controller [10], and used the IAE convergence property to obtain the optimum extremum value. Finally, the characteristics of the PI controller were used to suppress high frequency noise and eliminate the system steady-state error to achieve stable CV charging. In order to effectively explore the power generation efficiency of a solar tracking system, it must be self-sufficient, so the solar tracking system proposed by [PERSON] [3] was used in this study. However, they only discussed a new design concept of solar tracking scheme in that study [3]. 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. The CV-Reflex charge strategy mode was used because the initial charging rate is high. However, the battery temperature rises with charging time, and this causes an exponential decrease in the charging current, which prolongs charging time. To counter this effect, the Reflex charge-up method was used after a period, because it suppresses temperature rise and has a higher charge rate than CV at the later stage.