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Study On Modeling Of Coulombic Efficiency And Improvement Of The Testing Platform For Single Flow Zinc-Nickel Battery

Posted on:2014-07-19Degree:MasterType:Thesis
Country:ChinaCandidate:J ChenFull Text:PDF
GTID:2252330401486690Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Single flow zinc-nickel battery is a new type of single liquid type redox flow battery. It has the advantages of simple structure and big specific capacity. The coulombic efficiency is a major parameter in the process of the battery charging and discharging, and it is an important parameter in the properties of the single flow zinc-nickel battery. Currently, in the characteristics study of single flow zinc-nickel battery, the measurement of coulombic efficiency mainly obtained by cycling charging and discharging in different conditions, using division operation between charging and discharging capacity to calculate. This method has a long measuring time and cannot be measured on-line. In order to ensure that the battery won’t be over-charged or over-discharged, in actual use, we should calculate charging capacity and discharging capacity by using coulombic efficiency and maximal battery capacity; and control the electrolyte flow rate to get the maximum of coulombic efficiency. For this reason, the study of a simplified method of characteristics research and realizing the coulombic efficiency on-line measurement has practical significance. At present, the battery test platform and the control system of battery charging and discharging don’t have the flow regulating function. And the rate of flow is important for coulombic efficiency. For this season, the design of the circulation pump voltage regulator to control the rate of flow has practical significance.In this paper, firstly the research status of single flow zinc-nickel battery and the generalized dynamic fuzzy neural network have been expounded, and the reason that using generalized dynamic fuzzy neural network to study the battery characteristics has been described; Secondly, specializes the problem that the difficulty when setting initial parameters in the application of generalized dynamic fuzzy neural network, an adaptive parameters generalized dynamic fuzzy neural network has been proposed based on genetic algorithm. The fitness function of genetic algorithm has been improved; Thirdly, we have described the electrochemical principles of single flow zinc-nickel battery, get that the number of cycles, the current density and the circulating pump voltage are the important parameters on the coulombic efficiency. Lots of experiments of battery have been completed to get the coulombic efficiency in different conditions. The model of coulombic efficiency has been built and the battery characteristics has been analysed; Finally, combining the insufficient battery test platform for the flow battery test, the circulation pump voltage regulator have been designed. The efficiency of algorithm is tested by building different set models. The results of experiments show that the improved algorithm has a better effect on fitting and generalization than artificial deciding parameters and adapts to different objects. The model of coulombic efficiency has good generalization effect, and can be applied to on-line measurement. By modeling and analysis battery characteristics, gains the method of improving the coulomb efficiency that the larger circulating pump voltage is suitable for the lower current density and the smaller circulating pump voltage is suitable for the larger current density. The circulation pump voltage regulator can regulate the voltage on-line without measurement of AC voltage, and can be used in the test experiment and management system for the battery.
Keywords/Search Tags:Single flow zinc-nickel battery, Coulombic efficiency, GDFNN, Adaptive optimization of parameters, AC voltage regulator
PDF Full Text Request
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