With the continuous development of tight oil resources in China, water flooding has become the main development method of major oilfields. However, due to the influence of formation burial depth, cement type, cementation mode and other factors, the fluid flow is difficult, which affects the flow characteristics of the fluid in the reservoir. Based on the analysis of microscopic pore structure characteristics of different levels of reservoirs, combined with the test results of reservoir fluid physical properties, the macroscopic, microscopic, dynamic and static characteristics of reservoirs are systematically summarized, and the effects of cementation degree, reservoir damage, flow threshold and other factors on single well productivity are classified and evaluated. By analyzing the distribution law of water flooding remaining combined with the characteristics of reservoir microscopic pore structure, the characteristics of current productivity influencing factors are comprehensively analyzed.
{"title":"Analysis of Influencing Factors of Water Flooding Productivity in Tight Oil Reservoirs","authors":"Ying Liu, Kai Wang","doi":"10.54097/ije.v3i1.10741","DOIUrl":"https://doi.org/10.54097/ije.v3i1.10741","url":null,"abstract":"With the continuous development of tight oil resources in China, water flooding has become the main development method of major oilfields. However, due to the influence of formation burial depth, cement type, cementation mode and other factors, the fluid flow is difficult, which affects the flow characteristics of the fluid in the reservoir. Based on the analysis of microscopic pore structure characteristics of different levels of reservoirs, combined with the test results of reservoir fluid physical properties, the macroscopic, microscopic, dynamic and static characteristics of reservoirs are systematically summarized, and the effects of cementation degree, reservoir damage, flow threshold and other factors on single well productivity are classified and evaluated. By analyzing the distribution law of water flooding remaining combined with the characteristics of reservoir microscopic pore structure, the characteristics of current productivity influencing factors are comprehensively analyzed.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87344340","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}
Aiming at the thermodynamic problem of heat transfer fin in heat storage system, the solidification and melting model and thermodynamic conventional model are established by using simulation software, thermodynamic image processing and other methods. MATLABAB, COMSOL and other software are used to program the optimal rectangular fin spacing Angle and the optimal heat exchange fin structure. Firstly, based on the reason that the simulation software can simulate the heat transfer process of phase change material (PCM) in the actual process to the greatest extent, the plane modeling and thermodynamic equation method are used to analyze the distance Angle of the rectangular fin, and the melting solidification model is established, and the optimal solution is obtained. Finally, combined with the analytic hierarchy model and TOPSIS method, the triangular fin structure and rectangular fin structure were compared from three levels, namely, the heat sink area, temperature rise time and PCM maintenance time of different shapes. And create a heat transfer rate of return to more favorably analyze the data and visually present the comparative results.
{"title":"Research on Optimization Model of Heat Exchange Fin Structure in Energy Storage System","authors":"Xiangdong Wang, Yulong Guo, Hao Ren, Ting Li, Zhenxia Zhao","doi":"10.54097/ije.v3i1.10740","DOIUrl":"https://doi.org/10.54097/ije.v3i1.10740","url":null,"abstract":"Aiming at the thermodynamic problem of heat transfer fin in heat storage system, the solidification and melting model and thermodynamic conventional model are established by using simulation software, thermodynamic image processing and other methods. MATLABAB, COMSOL and other software are used to program the optimal rectangular fin spacing Angle and the optimal heat exchange fin structure. Firstly, based on the reason that the simulation software can simulate the heat transfer process of phase change material (PCM) in the actual process to the greatest extent, the plane modeling and thermodynamic equation method are used to analyze the distance Angle of the rectangular fin, and the melting solidification model is established, and the optimal solution is obtained. Finally, combined with the analytic hierarchy model and TOPSIS method, the triangular fin structure and rectangular fin structure were compared from three levels, namely, the heat sink area, temperature rise time and PCM maintenance time of different shapes. And create a heat transfer rate of return to more favorably analyze the data and visually present the comparative results.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78282699","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}
This chapter mainly analyzes the principle of photovoltaic cell MPPT technology and various tracking algorithms, and compares and analyzes the three traditional classical tracking algorithms, perturbation observation method, incremental conductance method, constant voltage method, etc., as well as various improved algorithms evolved on their basis. At the same time, it also analyzes the intelligent control methods based on soft computing that have been studied more in recent years. For example, various intelligent control methods based on neural network control and fuzzy control. The advantages and disadvantages of the above methods are compared and analyzed. According to the shortcomings of these methods, the author puts forward his own improvement strategy, and verifies the superiority of the improved method by comparing and analyzing the improved method with the traditional method.
{"title":"Analysis and Method Overview of Photovoltaic Cell MPPT Technology","authors":"Maoxin Du","doi":"10.54097/ije.v3i1.10773","DOIUrl":"https://doi.org/10.54097/ije.v3i1.10773","url":null,"abstract":"This chapter mainly analyzes the principle of photovoltaic cell MPPT technology and various tracking algorithms, and compares and analyzes the three traditional classical tracking algorithms, perturbation observation method, incremental conductance method, constant voltage method, etc., as well as various improved algorithms evolved on their basis. At the same time, it also analyzes the intelligent control methods based on soft computing that have been studied more in recent years. For example, various intelligent control methods based on neural network control and fuzzy control. The advantages and disadvantages of the above methods are compared and analyzed. According to the shortcomings of these methods, the author puts forward his own improvement strategy, and verifies the superiority of the improved method by comparing and analyzing the improved method with the traditional method.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74167491","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}
Remote sensing image classification (RSIC) has been increasingly concerned and becoming a challenging task. Recently, deep convolutional neural networks (DCNN) offer the effective classification method include the capacity to handle high-dimensional data and to distinguish classes with very complex characteristics on the remote sensing community. However, the focus of these methods is on publicly available data sets in the field of remote sensing, there are few studies on RSIC composed of different benchmark datasets, which the complexity, diversity, and similarity of data greatly increase the difficulty of classification. In this paper, we reconstructed and selected one new dataset from two standard benchmark remote sensing datasets: UC Merged Land-Use and NWPU-RESISC45. We utilize three transfer learning frameworks to extract the high-level feature map and feed feature information into the proposed model for partial and full fine-tuning. Data augmentation technology is used to increase the number of training samples and dropout strategies to prevent overfitting. The experimental results demonstrate that the proposed methodology achieved remarkable performance in scene classification of overall accuracy: 90.1%,91.0%,93.3 with VggNet, DesNet, InceptionNet, respectively.
{"title":"Study on High-resolution Remote Sensing Image Scene Classification Using Transfer Learning","authors":"Ouyang Qian","doi":"10.54097/ije.v3i1.10764","DOIUrl":"https://doi.org/10.54097/ije.v3i1.10764","url":null,"abstract":"Remote sensing image classification (RSIC) has been increasingly concerned and becoming a challenging task. Recently, deep convolutional neural networks (DCNN) offer the effective classification method include the capacity to handle high-dimensional data and to distinguish classes with very complex characteristics on the remote sensing community. However, the focus of these methods is on publicly available data sets in the field of remote sensing, there are few studies on RSIC composed of different benchmark datasets, which the complexity, diversity, and similarity of data greatly increase the difficulty of classification. In this paper, we reconstructed and selected one new dataset from two standard benchmark remote sensing datasets: UC Merged Land-Use and NWPU-RESISC45. We utilize three transfer learning frameworks to extract the high-level feature map and feed feature information into the proposed model for partial and full fine-tuning. Data augmentation technology is used to increase the number of training samples and dropout strategies to prevent overfitting. The experimental results demonstrate that the proposed methodology achieved remarkable performance in scene classification of overall accuracy: 90.1%,91.0%,93.3 with VggNet, DesNet, InceptionNet, respectively.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"84 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82406749","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}
The test area is a low porosity and low permeability reservoir. It was put into development in October 2005. The early effect was good, the later production decreased significantly, the ineffective water cycle was serious, the development layer series was few, and the main layer measures were difficult to increase production. In this paper, we carry out water quality analysis experiments of the produced fluid, and understood the change law of the main controlling factors Cl-and Ca2+ for evaluating the effect of ion water flooding. Combined with the production dynamics, we evaluated the effect of the measures, guided the optimization of the measures, designed the scheme, and understood the law of oil displacement. Through this study, it can be clearly and intuitively seen that the replacement effect of ion water flooding has a good oil washing effect, which has important application value and certain academic significance for the development of low permeability oil fields.
{"title":"Analysis of Oil Displacement Effect of Ion Water Flooding Technology","authors":"Wei Wei","doi":"10.54097/ije.v3i1.9798","DOIUrl":"https://doi.org/10.54097/ije.v3i1.9798","url":null,"abstract":"The test area is a low porosity and low permeability reservoir. It was put into development in October 2005. The early effect was good, the later production decreased significantly, the ineffective water cycle was serious, the development layer series was few, and the main layer measures were difficult to increase production. In this paper, we carry out water quality analysis experiments of the produced fluid, and understood the change law of the main controlling factors Cl-and Ca2+ for evaluating the effect of ion water flooding. Combined with the production dynamics, we evaluated the effect of the measures, guided the optimization of the measures, designed the scheme, and understood the law of oil displacement. Through this study, it can be clearly and intuitively seen that the replacement effect of ion water flooding has a good oil washing effect, which has important application value and certain academic significance for the development of low permeability oil fields.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82098233","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}
The working efficiency and stability of submersible motor are very important for energy utilization, and dynamic eccentricity is the main factor affecting its efficiency and fatigue life. This paper takes a 2-pole 60kW vertical three-phase cage induction motor with static eccentricity as the research object. Through finite element analysis, the mechanical structure and coordination of submersible motor shaft and spiral pump are analyzed. The influence caused by motor shaft eccentricity is regarded as external interference received by the system. The idea of auto disturbance rejection controller to eliminate this disturbance, thereby restraining the negative effects caused by motor shaft eccentricity. By using the state expansion observer of the active disturbance rejection model to estimate and compensate the internal disturbance and uncertainty of the system in real time, the rotation error of the shaft of the submersible motor is eliminated, and the motion inconsistency between the rotor of the screw pump and the shaft of the submersible motor caused by shaft eccentricity is suppressed.
{"title":"Research on Influence of Eccentricity on Submersible Motor and its Solution","authors":"Xue Cao, Sen Yan, Chunming Lv","doi":"10.54097/ije.v3i1.9793","DOIUrl":"https://doi.org/10.54097/ije.v3i1.9793","url":null,"abstract":"The working efficiency and stability of submersible motor are very important for energy utilization, and dynamic eccentricity is the main factor affecting its efficiency and fatigue life. This paper takes a 2-pole 60kW vertical three-phase cage induction motor with static eccentricity as the research object. Through finite element analysis, the mechanical structure and coordination of submersible motor shaft and spiral pump are analyzed. The influence caused by motor shaft eccentricity is regarded as external interference received by the system. The idea of auto disturbance rejection controller to eliminate this disturbance, thereby restraining the negative effects caused by motor shaft eccentricity. By using the state expansion observer of the active disturbance rejection model to estimate and compensate the internal disturbance and uncertainty of the system in real time, the rotation error of the shaft of the submersible motor is eliminated, and the motion inconsistency between the rotor of the screw pump and the shaft of the submersible motor caused by shaft eccentricity is suppressed.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75800540","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}
Lin Xi, Haoxiang Zhang, Mengxi Gao, Xiao Luo, Longjie Wang, Qian Wang
The quality of the thermal management control strategy of the power battery is directly related to the energy consumption and the use state of the battery. The lithium battery will generate heat in the process of charging and discharging, which will lead to its own temperature rise, and the temperature rise will affect the performance of the lithium battery. In this paper, the simulation analysis from the cell to the battery pack is carried out, and the thermal simulation analysis of the air-cooled and liquid-cooled battery pack is carried out by using different control strategies. This paper mainly analyzes the thermal simulation of three discharge rates of single lithium battery under normal temperature environment, and designs the type I liquid cooled battery pack and type S liquid cooled battery pack. By setting the same liquid cooling control strategy, the inlet temperature is 20℃, the flow rate is 1m/s, the initial temperature of the battery in normal temperature environment is 25℃, and the cooling medium is ethylene glycol (50% water and ethylene glycol mixture). Through simulation analysis and comparison of the heat dissipation effect under the three discharge ratios, the research results show that the maximum temperature of the type I liquid cooled battery pack is lower than that of the type S liquid cooled battery pack, and the effect is more significant.
{"title":"Research on Structural Design and Optimization of Battery Thermal Management System","authors":"Lin Xi, Haoxiang Zhang, Mengxi Gao, Xiao Luo, Longjie Wang, Qian Wang","doi":"10.54097/ije.v3i1.9806","DOIUrl":"https://doi.org/10.54097/ije.v3i1.9806","url":null,"abstract":"The quality of the thermal management control strategy of the power battery is directly related to the energy consumption and the use state of the battery. The lithium battery will generate heat in the process of charging and discharging, which will lead to its own temperature rise, and the temperature rise will affect the performance of the lithium battery. In this paper, the simulation analysis from the cell to the battery pack is carried out, and the thermal simulation analysis of the air-cooled and liquid-cooled battery pack is carried out by using different control strategies. This paper mainly analyzes the thermal simulation of three discharge rates of single lithium battery under normal temperature environment, and designs the type I liquid cooled battery pack and type S liquid cooled battery pack. By setting the same liquid cooling control strategy, the inlet temperature is 20℃, the flow rate is 1m/s, the initial temperature of the battery in normal temperature environment is 25℃, and the cooling medium is ethylene glycol (50% water and ethylene glycol mixture). Through simulation analysis and comparison of the heat dissipation effect under the three discharge ratios, the research results show that the maximum temperature of the type I liquid cooled battery pack is lower than that of the type S liquid cooled battery pack, and the effect is more significant.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75317601","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}
Huipeng Zhai, Yanyan Peng, Kexin Xu, Weisen Bai, Jinhua Lu
In the eastern mining areas of China, coal mining under buildings is more common. In order to alleviate the contradiction between coal mining under buildings and the relationship between workers and farmers, it is necessary to evaluate the degree of damage to buildings in a more objective and scientific way. Taking the buildings in the surface movement basin in Fengfeng Mining District of Handan City as the research object, 15 residential buildings with different degrees of damage were selected as sampling points, and data including four surface movement deformation parameters and five parameters of the buildings' own attributes were collected. In order to objectively calculate the influence of each indicator, two methods, namely principal component analysis and AHP entropy weighting, were used to calculate the influence of the indicators on the damage of the buildings. The results show that the index system selected in the paper is scientific and objective, with the building's own attributes accounting for 0.57. In the evaluation model using principal component analysis, the evaluation of the building damage evaluation results exactly matches the evaluation of the field survey results, which proves the feasibility of applying the method to the evaluation of mining damage in mining areas. The significance of Bartlett's test of 0.228 showed that the indicators were extremely uncorrelated, proving that the AHP entropy method of assigning weights is applicable to the evaluation of mining damage to buildings in mining areas in an indicator system where the indicators are weakly correlated.
{"title":"Comparative Analysis of Mining Damage Evaluation Methods for Mining Buildings","authors":"Huipeng Zhai, Yanyan Peng, Kexin Xu, Weisen Bai, Jinhua Lu","doi":"10.54097/ije.v3i1.10150","DOIUrl":"https://doi.org/10.54097/ije.v3i1.10150","url":null,"abstract":"In the eastern mining areas of China, coal mining under buildings is more common. In order to alleviate the contradiction between coal mining under buildings and the relationship between workers and farmers, it is necessary to evaluate the degree of damage to buildings in a more objective and scientific way. Taking the buildings in the surface movement basin in Fengfeng Mining District of Handan City as the research object, 15 residential buildings with different degrees of damage were selected as sampling points, and data including four surface movement deformation parameters and five parameters of the buildings' own attributes were collected. In order to objectively calculate the influence of each indicator, two methods, namely principal component analysis and AHP entropy weighting, were used to calculate the influence of the indicators on the damage of the buildings. The results show that the index system selected in the paper is scientific and objective, with the building's own attributes accounting for 0.57. In the evaluation model using principal component analysis, the evaluation of the building damage evaluation results exactly matches the evaluation of the field survey results, which proves the feasibility of applying the method to the evaluation of mining damage in mining areas. The significance of Bartlett's test of 0.228 showed that the indicators were extremely uncorrelated, proving that the AHP entropy method of assigning weights is applicable to the evaluation of mining damage to buildings in mining areas in an indicator system where the indicators are weakly correlated.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"126 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74300891","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}
Through the analysis of the relationship among spray and flow and performance of dust remover, it gets a better spray structure, and realizes the precipitator of low internal resistance and low water consumption combined with application environment.it proves by application in Jia-Yang mine of Sichuan Coal Group that the wet dust collector can effectively suct the dust air flow in the field, and the working environment of the working surface is obviously improved because the dust removal efficiency of the working face is 96.64%.
{"title":"Analysis and Optimization of Spray Structure for Mine Wet Dust Remover","authors":"Weili Wang","doi":"10.54097/ije.v3i1.10537","DOIUrl":"https://doi.org/10.54097/ije.v3i1.10537","url":null,"abstract":"Through the analysis of the relationship among spray and flow and performance of dust remover, it gets a better spray structure, and realizes the precipitator of low internal resistance and low water consumption combined with application environment.it proves by application in Jia-Yang mine of Sichuan Coal Group that the wet dust collector can effectively suct the dust air flow in the field, and the working environment of the working surface is obviously improved because the dust removal efficiency of the working face is 96.64%.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80367826","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}
As the main source of power for pure electric vehicles, new energy vehicle power lithium batteries are also a key technology that restricts the development of pure electric vehicles, and can directly affect the driving performance of vehicles. A reliable and efficient management system (Battery Management System, BMS) can allow the lithium-ion battery to output its best performance stably, while ensuring that the battery has a long enough service life. State of charge (SOC) estimation plays an important role in Li-ion battery management systems. The establishment of the battery working model is an important part of the state of charge estimation. Therefore, higher requirements are put forward for the establishment of the battery model. At the same time, the error of the subsequent data processing and estimation results is smaller, and the Kalman filter is often used for processing. This paper starts from the current situation of model research and improvement, focuses on the equivalent circuit model, analyzes the advantages and disadvantages of each model, and summarizes the comparative research on the analysis and processing effect of Kalman filter. And further experiment verification of SOC estimation through battery test experiments and algorithms, use Thevenin model, use least squares method for parameter identification, and finally use Kalman filter for SOC estimation, according to the analysis of the results, the fitting accuracy is 1.69%, provided by battery research a strong theoretical foundation.
{"title":"New Energy Vehicle Power Lithium Battery Model Establishment Method and SOC Estimation Research","authors":"Hua Ou, Hao Wu","doi":"10.54097/ije.v3i1.10144","DOIUrl":"https://doi.org/10.54097/ije.v3i1.10144","url":null,"abstract":"As the main source of power for pure electric vehicles, new energy vehicle power lithium batteries are also a key technology that restricts the development of pure electric vehicles, and can directly affect the driving performance of vehicles. A reliable and efficient management system (Battery Management System, BMS) can allow the lithium-ion battery to output its best performance stably, while ensuring that the battery has a long enough service life. State of charge (SOC) estimation plays an important role in Li-ion battery management systems. The establishment of the battery working model is an important part of the state of charge estimation. Therefore, higher requirements are put forward for the establishment of the battery model. At the same time, the error of the subsequent data processing and estimation results is smaller, and the Kalman filter is often used for processing. This paper starts from the current situation of model research and improvement, focuses on the equivalent circuit model, analyzes the advantages and disadvantages of each model, and summarizes the comparative research on the analysis and processing effect of Kalman filter. And further experiment verification of SOC estimation through battery test experiments and algorithms, use Thevenin model, use least squares method for parameter identification, and finally use Kalman filter for SOC estimation, according to the analysis of the results, the fitting accuracy is 1.69%, provided by battery research a strong theoretical foundation.","PeriodicalId":14093,"journal":{"name":"International journal of energy science","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76990685","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}
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