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Evaluation of the Dynamic Modeling and Discharge Performance of a Magnesium Battery Activated by Seawater

机译：海水活化镁电池动态建模和放电性能的评估

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This study focuses on an evaluation of the dynamic modeling and discharge performance of magnesium battery activated by sea water. Modeling is important to determine the optimum condition of battery discharge operation. The modeling was performed by modifying the Shepherd model approach by combining an Rint equivalent circuit model to avoid the looping algorithm problem. Initial parameters were obtained from battery discharge manufacturing data on open operating systems. The battery anode used magnesium foil, the cathode used carbon, while the electrolyte used 3.5%wt NaCl solution. The battery discharge test to obtain manufacturing data was carried out with variations in current loads of 0.01 C, 0.05 C and 0.1 C until the potential and current were zero. Battery discharge performance evaluation can also be performed from manufacturing data analysis. Potential battery discharge decreased from ±1.49 V to ±1.30 V, while the battery discharge potential was relatively stable at ±1.30 V to the SOCmin potential value (±1.29 V). It can be seen from the different values of exponential and nominal potential that the parameters were not too significant. The modeling has convergence on the discharge parameters, such as E0 = 1.303 V; R = 0.012 ?; Kdr = 0.01 ?; Kdv = 5.794×10-4 V/A.h A = 0.195 V; and B = 140 (A.h)-1. The SOCmin value of 5% indicates a minimum limit of battery operation that is permitted for battery performance to drop suddenly. The SOCmax value of 93% indicates the maximum allowable limit for the battery to operate stably. The percentage of simulated data error compared to the manufacturing data is 0.85%.?.
机译：这项研究的重点是评估由海水活化的镁电池的动态建模和放电性能。建模对于确定电池放电操作的最佳条件很重要。通过组合Rint等效电路模型来避免循环算法问题，通过修改Shepherd模型方法来执行建模。初始参数是从开放操作系统上的电池放电制造数据获得的。电池阳极使用镁箔，阴极使用碳，而电解质使用3.5％wt的NaCl溶液。在0.01 C，0.05 C和0.1 C的电流负载变化下进行电池放电测试以获得制造数据，直到电势和电流为零为止。电池放电性能评估也可以从制造数据分析中进行。电池放电电位从±1.49 V降至±1.30 V，而电池放电电位相对于SOCmin电位值（±1.29 V）则相对稳定在±1.30V。从指数势和标称势的不同值可以看出，这些参数不太重要。该模型在放电参数上具有收敛性，例如E0 = 1.303 V; R ＝0.012Ω; Kdr = 0.01？; Kdv = 5.794×10-4 V / A.h A = 0.195 V;并且B = 140（A.h）-1。 SOCmin值为5％表示允许电池性能突然下降的最小电池运行极限。 SOCmax值为93％表示电池稳定运行的最大允许极限。与制造数据相比，模拟数据误差的百分比为0.85％。

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