In recent times, lithium-ion batteries have been widely used owing to their high energy density, extended cycle lifespan, and minimal self-discharge rate. The design of high-speed rechargeable lithium-ion batteries fa...In recent times, lithium-ion batteries have been widely used owing to their high energy density, extended cycle lifespan, and minimal self-discharge rate. The design of high-speed rechargeable lithium-ion batteries faces a significant challenge owing to the need to increase average electric power during charging. This challenge results from the direct influence of the power level on the rate of chemical reactions occurring in the battery electrodes. In this study, the Taguchi optimization method was used to enhance the average electric power during the charging process of lithium-ion batteries. The Taguchi technique is a statistical strategy that facilitates the systematic and efficient evaluation of numerous experimental variables. The proposed method involved varying seven input factors, including positive electrode thickness, positive electrode material, positive electrode active material volume fraction, negative electrode active material volume fraction, separator thickness, positive current collector thickness, and negative current collector thickness. Three levels were assigned to each control factor to identify the optimal conditions and maximize the average electric power during charging. Moreover, a variance assessment analysis was conducted to validate the results obtained from the Taguchi analysis. The results revealed that the Taguchi method was an eff ective approach for optimizing the average electric power during the charging of lithium-ion batteries. This indicates that the positive electrode material, followed by the separator thickness and the negative electrode active material volume fraction, was key factors significantly infl uencing the average electric power during the charging of lithium-ion batteries response. The identification of optimal conditions resulted in the improved performance of lithium-ion batteries, extending their potential in various applications. Particularly, lithium-ion batteries with average electric power of 16 W and 17 W during charging were designed and simulated in the range of 0-12000 s using COMSOL Multiphysics software. This study efficiently employs the Taguchi optimization technique to develop lithium-ion batteries capable of storing a predetermined average electric power during the charging phase. Therefore, this method enables the battery to achieve complete charging within a specific timeframe tailored to a specificapplication. The implementation of this method can save costs, time, and materials compared with other alternative methods, such as the trial-and-error approach.展开更多
In order to explore the effect of particle position on the electrocatalytic reaction rate at different positions in three-dimensional electrocatalytic reactor,using methylene blue as the simulated organic wastewater,a...In order to explore the effect of particle position on the electrocatalytic reaction rate at different positions in three-dimensional electrocatalytic reactor,using methylene blue as the simulated organic wastewater,and spherical graphite particles as the particle electrode,the potential distribution in three-dimensional electrocatalytic reactor was simulated by using COMSOL Multiphysics software.A multivariate logarithmic regression model of reaction kinetic constant and position was established by mathematical statistics.The electrocatalytic reaction rates were predicted at different locations in the reactor.The results show that the degradation ability of particle electrode to pollutants is uneven in the electrocatalytic reactor.The increase of electric field intensity and particle size will improve the difference of reaction rate.The closer the particle electrode is to the anode,the stronger the pollutant degradation ability would be.The reaction rate of the same particle electrode at different locations varies greatly,which can be roughly divided into three regions according to the degree of difference,among which the central region of the particle has the highest electrocatalytic reaction efficiency.展开更多
文摘In recent times, lithium-ion batteries have been widely used owing to their high energy density, extended cycle lifespan, and minimal self-discharge rate. The design of high-speed rechargeable lithium-ion batteries faces a significant challenge owing to the need to increase average electric power during charging. This challenge results from the direct influence of the power level on the rate of chemical reactions occurring in the battery electrodes. In this study, the Taguchi optimization method was used to enhance the average electric power during the charging process of lithium-ion batteries. The Taguchi technique is a statistical strategy that facilitates the systematic and efficient evaluation of numerous experimental variables. The proposed method involved varying seven input factors, including positive electrode thickness, positive electrode material, positive electrode active material volume fraction, negative electrode active material volume fraction, separator thickness, positive current collector thickness, and negative current collector thickness. Three levels were assigned to each control factor to identify the optimal conditions and maximize the average electric power during charging. Moreover, a variance assessment analysis was conducted to validate the results obtained from the Taguchi analysis. The results revealed that the Taguchi method was an eff ective approach for optimizing the average electric power during the charging of lithium-ion batteries. This indicates that the positive electrode material, followed by the separator thickness and the negative electrode active material volume fraction, was key factors significantly infl uencing the average electric power during the charging of lithium-ion batteries response. The identification of optimal conditions resulted in the improved performance of lithium-ion batteries, extending their potential in various applications. Particularly, lithium-ion batteries with average electric power of 16 W and 17 W during charging were designed and simulated in the range of 0-12000 s using COMSOL Multiphysics software. This study efficiently employs the Taguchi optimization technique to develop lithium-ion batteries capable of storing a predetermined average electric power during the charging phase. Therefore, this method enables the battery to achieve complete charging within a specific timeframe tailored to a specificapplication. The implementation of this method can save costs, time, and materials compared with other alternative methods, such as the trial-and-error approach.
文摘In order to explore the effect of particle position on the electrocatalytic reaction rate at different positions in three-dimensional electrocatalytic reactor,using methylene blue as the simulated organic wastewater,and spherical graphite particles as the particle electrode,the potential distribution in three-dimensional electrocatalytic reactor was simulated by using COMSOL Multiphysics software.A multivariate logarithmic regression model of reaction kinetic constant and position was established by mathematical statistics.The electrocatalytic reaction rates were predicted at different locations in the reactor.The results show that the degradation ability of particle electrode to pollutants is uneven in the electrocatalytic reactor.The increase of electric field intensity and particle size will improve the difference of reaction rate.The closer the particle electrode is to the anode,the stronger the pollutant degradation ability would be.The reaction rate of the same particle electrode at different locations varies greatly,which can be roughly divided into three regions according to the degree of difference,among which the central region of the particle has the highest electrocatalytic reaction efficiency.
