Xiao-qin Zhong, Ji Qiqiang, Wang Xing, Shen Xiuguo, Ji Linzhang
{"title":"Structure Design of Needling Machine Producing Small Diameter Felt Jacket and Simulation Analysis of Its Bed","authors":"Xiao-qin Zhong, Ji Qiqiang, Wang Xing, Shen Xiuguo, Ji Linzhang","doi":"10.2991/MASTA-19.2019.25","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.25","url":null,"abstract":"","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123861868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development and Application of a Concrete Apparent Beautifying Agent","authors":"J. Xing, L. Xiong, Xing Li","doi":"10.2991/MASTA-19.2019.74","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.74","url":null,"abstract":"The exquisite appearance of concrete components not only reflects the management level of construction units and the overall quality of operators, but also transmits the reliability of the inherent quality of the whole project and the aesthetic feeling of art.. The new demoulding agent prepared in this paper can effectively develop concrete demoulding agent, which can be sprayed, rolled, and constructed easily. The area of the template can be sprayed about 100 square meters with a kilogram of water-based demoulding agent, and more than 40 square meters can be rolled with a kilogram of oil-based demoulding agent. The template after use is easy to clean, safe and non-toxic, and has no pollution to the environment. The surface of concrete demoulding agent has less air bubbles and no residual oil pollution. It is a new generation of green environmental protection building materials. After a large number of laboratory experiments, a series of optimization of emulsifier, emulsifying temperature and emulsifying speed in the emulsification process were made. The best scheme was selected for pilot test in Wuhan New Building Material Factory, and was verified by the experiment in the North Fourth Ring Project.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122007783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Groundwater Dynamics Method of Mine Discharge and Its Parameter Analysis","authors":"Man-man Zhang, D. Yao","doi":"10.2991/masta-19.2019.54","DOIUrl":"https://doi.org/10.2991/masta-19.2019.54","url":null,"abstract":"Absrtact. Mine discharge refers to the total amount of surface water, fissure water, old kiln water and karst water inflow into the mine roadway. It is an important indicator in the process of coal mine production safety, and also the focus of scholars' attention. Based on a large number of previous research results, this paper introduces the groundwater dynamic method of mine discharge, analyses the parameters in the theoretical formula, discusses the influence of the change of parameters on mine water inflow, and provides a reference for further understanding the calculation of mine discharge.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125545350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of SOC for Battery in Electric Vehicle Based on STUKF Algorithm","authors":"Ming-xuan Gong, Xingcheng Wang, Dan Liu","doi":"10.2991/masta-19.2019.57","DOIUrl":"https://doi.org/10.2991/masta-19.2019.57","url":null,"abstract":"Lithium-ion (Li-on) battery state of charge (SOC) estimation is important for electric vehicles (EVs). To eliminate the effects of colored noise on SOC estimation, a new estimation method that based on Unscented Kalman Filter (UKF) Algorithm is proposed for high-power Li-ion batteries. First of all, based on the battery chemical properties, this paper established the improved PNGV battery model and identified the battery parameters. Then, accuracy of the model was verified under UDDS working condition. Finally, according to the influence of colored noise on estimating SOC of battery by the Unscented Kalman Filter (UKF) Algorithm, this paper proposed the Strong Tracking Unscented Kalman Filter (STUKF) Algorithm and introduced the fading factor. which forces the innovation sequence to be orthogonal and strengthens the correction of the state estimation by the new data. The result of simulation shows the STUKF Algorithm has batter tracking characteristic on estimating SOC of battery. Introduction Along with the continuous intensification of a series of problems such as energy exhaustion, environmental pollution and greenhouse effect, the development of electric vehicles has attracted wide attention of the automobile industry, and various major automobile manufacturers have produced new electric vehicles one after another. As one of the three key technologies of electric vehicles, battery management technology has become the focus of research in major automobile enterprises, universities and research institutes [1]. Battery management system of electric vehicle is mainly responsible for battery status detection, power balance, fault protection, etc. As an important indicator of balance and fault diagnosis, SOC is related to the working stability of the whole battery management system. Therefore, the accuracy of estimating SOC of battery is particularly important [2]. The battery state of charge (SOC) is the most important point of the battery management system (BMS), whose estimation methods are often broken through in models and algorithms [3]. At present, there are many methods of building models for estimating SOC of battery. Paper [4] introduced the Rint model, Thevenin model, PNGV model and GNL model, compared with two other models, Rint model and Thevenin model are more simplified, so that the accuracy of the model was not exact. On the other hand, although the GNL model has high precision, the calculation is too much when it is applied. Besides improving the model, estimation algorithm is also very important. In [5], the SOC and capacity of batteries are estimated by double-observation algorithm under the application of reduced-order electrochemical model of composite-electrode batteries. In recent years, there have been many advanced algorithms have been applied in estimating SOC of battery. such as Extended Kalman Filter (EKF)algorithm, Unscented Kalman Filter (UKF)algorithm and NARX Neural Network algorithm. In [6], The paper proposed non-l","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125437568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}