A large-scale glass curtain wall (LGCW) attached to a high-rise building is analyzed using the finite element method to investigate the wind resistance performance of the LGCW with and without the high-rise building. The results show that without the high-rise building, the peak wind-induced response occurs in the center of each glass panel of the LGCW, and it gradually decreases away from the center towards the edges of each glass panel. When the high-rise building is included in the finite element model, the additional wind-induced response on the LGCW caused by the deformation of the high-rise building is large at the upper and lower glass panel edges, and gradually decreases toward the panel center. The high-rise building produces great effects on the displacements of the LGCW but weak effects on the stresses, where the peak displacement of the whole LGCW is increased by 40.5%. The influences of key structural parameters, including the lateral stiffness of the high-rise building and the connection stiffness between the large glass curtain wall and the high-rise building, on the wind resistance performance of the LGCW are further investigated. The results demonstrate that the smaller the lateral stiffness of the high-rise building is, the greater the additional responses caused by the deformation of the high-rise building on the LGCW are, and the greater the total load responses of the LGCW are. The smaller the connection stiffness between the LGCW and the high-rise building is, the greater the responses of the independent LGCW are, while the additional responses induced by the deformation of the high-rise building on the LGCW are not significant.

While Chinese new energy vehicle (NEV) industry is emerging with the support of policies, the plague made damages on the industry by influencing the material supply and technological process of it. During the pandemic, the crude oil price decreased, causing new energy automobiles less attractive. This paper aimed to discover how does COVID-19 impact Chinese NEV stock market, which is helpful for investors, consumers, and the study in NEV field. The research is carried on by employing modified Fama-French model and regression analysis via Eviews. The coefficient of COVID-19 factor is -0.143360, which means the pandemic negatively influenced Chinese NEV stock market and the influence is gentle. This study can bring benefits to both investors and consumers. From the stock market perspective, investors are not recommended to make investments in the Second Board and Chinese NEV market unless risk lovers. Furthermore, since both big enterprises and companies with high book-to-market ratios are mostly overvalued in this market, investors should carefully examine the situation before buying stocks. For the consumers who eager to purchase new energy automobiles, it is not sensible to buy them when the pandemic is severe in the region.

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Under the condition of the battery current fluctuation and the uncertain initial value of the battery SOC in the MMC(Modular Multilevel Converter) battery energy storage system, there are relatively big errors in the prediction of SOC estimation values and there are poor results of the battery SOC balance, by using the ampere-hour integration method and the open-circuit voltage method. The method of model prediction was adopted to study the SOC balance strategy. Firstly, the power transfer function between each port is derived and the second-order Thevenin equivalent nonlinear model of the battery is established. On this foundation, the more accurate estimation results of the battery SOC are obtained employing the strong tracking extended Kalman filter algorithm, under the condition of the large fluctuation of the battery current and the uncertainty initial value of the battery SOC in the MMC-BESS model. In the end of the paper, the validity of the method introduced in the paper way was confirmed according to the simulation results of the simulation calculation based on the power transfer relationship between the battery SOC and each port, using the three-level SOC balance strategy to balance the battery SOC.