Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8909061
Jianghua Pu, Xuejun Wang, Peng Wu, H. San, Mingfang Chen
Rail transport conveyer is a kind of special transportation equipment commonly used in the metallurgical industry. One of the crucial reasons leading to the inefficient/poor reliability and low kinetic accuracy of rail transport conveyer is closely related to the transmission system. A precise three-dimension solid model of the TI worm and worm gear is established, which serves as the main transmission structure is built with GearTrax and Solid Edge. ADAMS simulation analytic software is utilized to conduct kinematic simulation analysisthrough inputting modeling of worm transmission structure in rail transport lifting system with Hertz contact theory, and the change rules of driven link bevel tooth rotation speed and worm and gear engaging force are obtained and analyzed. Therefore, it has improved the reliability and efficiency of rail transport conveyer transmission system, and a reference method is provided for 3D solid modeling of TI worm transmission and the dynamics modeling and analysis of worm and gear transmission mechanism.
{"title":"Modeling and Dynamic Simulation of TI Worm Drivebased on GearTrax","authors":"Jianghua Pu, Xuejun Wang, Peng Wu, H. San, Mingfang Chen","doi":"10.1109/DDCLS.2019.8909061","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909061","url":null,"abstract":"Rail transport conveyer is a kind of special transportation equipment commonly used in the metallurgical industry. One of the crucial reasons leading to the inefficient/poor reliability and low kinetic accuracy of rail transport conveyer is closely related to the transmission system. A precise three-dimension solid model of the TI worm and worm gear is established, which serves as the main transmission structure is built with GearTrax and Solid Edge. ADAMS simulation analytic software is utilized to conduct kinematic simulation analysisthrough inputting modeling of worm transmission structure in rail transport lifting system with Hertz contact theory, and the change rules of driven link bevel tooth rotation speed and worm and gear engaging force are obtained and analyzed. Therefore, it has improved the reliability and efficiency of rail transport conveyer transmission system, and a reference method is provided for 3D solid modeling of TI worm transmission and the dynamics modeling and analysis of worm and gear transmission mechanism.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"66 1","pages":"1355-1359"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89484795","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8909000
Shenglun Yi, X. Ren, Tingli Su
This paper considers an improved Kalman filter (KF) for a non-Gaussian system, when an adaptive statistics model is applied to capture the systematic characteristics in real time. The problem is formulated as self-adaptive adjustment parameters (SAPs) updating by the recursive least squares (RLS) algorithm. These parameters are shown to admit adaptive statistics model to characteristics of which applies and extends results given earlier in “Online denoising based on the second-order adaptive statistics model” (S. L. Yi and X. B. Jin et al., Sensors, 17(7), 1668, 2017.). Simulations comparing the improved KF based on the SAPs to the standard KF and the past algorithm illustrate a satisfactory performance when applied to self-adaptive adjustment parameters. Simulation results show that the proposed algorithm can gradually converge with a small performance loss.
本文研究了一种用于非高斯系统的改进卡尔曼滤波器(KF)，该滤波器采用自适应统计模型来实时捕捉系统特征。将该问题表述为用递归最小二乘(RLS)算法更新自适应调整参数。这些参数表明，自适应统计模型的特征适用并扩展了前面“基于二阶自适应统计模型的在线去噪”中给出的结果(S. L. Yi和X. B. Jin等人，传感器，17(7)，1668,2017)。将基于SAPs的改进KF算法与标准KF算法和过去的算法进行了仿真比较，结果表明，在自适应调整参数时，改进的KF算法具有令人满意的性能。仿真结果表明，该算法能以较小的性能损失逐步收敛。
{"title":"An Improved Kalman Filter Based on Self-adaptive Adjustment Parameters","authors":"Shenglun Yi, X. Ren, Tingli Su","doi":"10.1109/DDCLS.2019.8909000","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909000","url":null,"abstract":"This paper considers an improved Kalman filter (KF) for a non-Gaussian system, when an adaptive statistics model is applied to capture the systematic characteristics in real time. The problem is formulated as self-adaptive adjustment parameters (SAPs) updating by the recursive least squares (RLS) algorithm. These parameters are shown to admit adaptive statistics model to characteristics of which applies and extends results given earlier in “Online denoising based on the second-order adaptive statistics model” (S. L. Yi and X. B. Jin et al., Sensors, 17(7), 1668, 2017.). Simulations comparing the improved KF based on the SAPs to the standard KF and the past algorithm illustrate a satisfactory performance when applied to self-adaptive adjustment parameters. Simulation results show that the proposed algorithm can gradually converge with a small performance loss.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"8 1","pages":"1060-1064"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80725405","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8909083
Li Zhang, Zonggang Li, Pu Gao
We investigate the circle surrounding control problem of multiple targets, in which communication topology is undirected and connected. First of all, an estimator is given for each agent to obtain the geometric center of multiple targets in a finite time. Combined with such an estimator, a distributed controller is presented such that all agents can achieve a circular formation and rotate around the geometric center of multiple targets. Meanwhile, agents enclose all targets. Especially, the position of each agent in circular formation can be arbitrary arranged by adjusting the time-varying coefficients. Simulations demonstrate the correctness of the estimator and the surrounding control protocol.
{"title":"Finite-Time Surrounding Control of Multi-Agent Systems with Multiple Targets","authors":"Li Zhang, Zonggang Li, Pu Gao","doi":"10.1109/DDCLS.2019.8909083","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909083","url":null,"abstract":"We investigate the circle surrounding control problem of multiple targets, in which communication topology is undirected and connected. First of all, an estimator is given for each agent to obtain the geometric center of multiple targets in a finite time. Combined with such an estimator, a distributed controller is presented such that all agents can achieve a circular formation and rotate around the geometric center of multiple targets. Meanwhile, agents enclose all targets. Especially, the position of each agent in circular formation can be arbitrary arranged by adjusting the time-varying coefficients. Simulations demonstrate the correctness of the estimator and the surrounding control protocol.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"41 1","pages":"231-236"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73003486","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908890
Minlin Wang, Xueming Dong, X. Ren
In this paper, a K-filter observer based optimal robust guarantee cost controller is proposed for uncertain nonlinear servo system with immeasurable states to achieve the precision load tracking. By using a K-filter observer to estimate both the system states and the nonlinearities, an adaptive dynamic surface control is designed to make the system output track a given reference command. However, since the parameter uncertainties may influence the system tracking performance, an optimal robust guarantee cost control is developed to combine with the adaptive dynamic surface control to stabilize the uncertain system and guarantee the system cost function less than or equal to a given upper bound. The Lyapunov theory proves the stability of the closed-loop control system. Simulation results based on a servo system are conducted to illustrate the efficiency of the proposed control scheme.
{"title":"K-Filter Observer Based Optimal Robust Guarantee Cost Control for Uncertain Nonlinear Servo System with Immeasurable States","authors":"Minlin Wang, Xueming Dong, X. Ren","doi":"10.1109/DDCLS.2019.8908890","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908890","url":null,"abstract":"In this paper, a K-filter observer based optimal robust guarantee cost controller is proposed for uncertain nonlinear servo system with immeasurable states to achieve the precision load tracking. By using a K-filter observer to estimate both the system states and the nonlinearities, an adaptive dynamic surface control is designed to make the system output track a given reference command. However, since the parameter uncertainties may influence the system tracking performance, an optimal robust guarantee cost control is developed to combine with the adaptive dynamic surface control to stabilize the uncertain system and guarantee the system cost function less than or equal to a given upper bound. The Lyapunov theory proves the stability of the closed-loop control system. Simulation results based on a servo system are conducted to illustrate the efficiency of the proposed control scheme.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"77 1","pages":"420-425"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76723827","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908874
Xuejun Wang, Jianghua Pu, Peng Wu, H. San, Mingfang Chen
In this paper, a new full-scale indoor ballasted ballast bed cyclic loading test-bed is introduced. Based on the actual operation of high-speed train, the corresponding relationship between the simulation parameters of loading process and the actual operation parameters is analyzed, and the hydraulic transmission and control system of the cyclic loading test-bed, which can simulate the actual operation of vehicles are designed. According to the simulated parameters and test methods of the cyclic loading test bench, the hydraulic circuit is built, and the electro-hydraulic proportional key technology is used to precisely control the hydraulic circuit. The principle and characteristics of the hydraulic system of the test-bed are emphatically expounded, and the performance of the test model is verified by comparing the test results.
{"title":"Cyclic Loading Test Facility for Ballast Bed of High-speed Railway","authors":"Xuejun Wang, Jianghua Pu, Peng Wu, H. San, Mingfang Chen","doi":"10.1109/DDCLS.2019.8908874","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908874","url":null,"abstract":"In this paper, a new full-scale indoor ballasted ballast bed cyclic loading test-bed is introduced. Based on the actual operation of high-speed train, the corresponding relationship between the simulation parameters of loading process and the actual operation parameters is analyzed, and the hydraulic transmission and control system of the cyclic loading test-bed, which can simulate the actual operation of vehicles are designed. According to the simulated parameters and test methods of the cyclic loading test bench, the hydraulic circuit is built, and the electro-hydraulic proportional key technology is used to precisely control the hydraulic circuit. The principle and characteristics of the hydraulic system of the test-bed are emphatically expounded, and the performance of the test model is verified by comparing the test results.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"1 1","pages":"1377-1381"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76784925","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908919
Yaru Zheng, Jinfeng Zhou, Ming Xu
This paper studies configuration design, relative navigation and control of non-cooperative flying-around mission $J_{4}$-perturbed elliptic orbit. $J_{2}$-perturbation is generally considered in most circumstances of satellites around the Earth, while the relative motion is under $J_{4}$-pertuabation to achieve more precise results. The key problem of flying-around mission is orbital control, a more general method is established which considers remote maneuvers, reconfiguration, flying-around and escape. Based on the orbital control in the paper, the initial conditions of object and tracking satellite are as appropriate but not unique. The Extended Kalman Filter is introduced to enhance the robustness of relative navigation system in cases of noises and errors caused by the measurements. With the introduce of Extended Kalman Filter in relative navigation and $J_{4}$ perturbation in relative motion, simulation results of the flying-around mission configuration design are more persuasive.
{"title":"Non-Cooperative Flying-around Mission:Configuration Design, Relative Navigation and Control","authors":"Yaru Zheng, Jinfeng Zhou, Ming Xu","doi":"10.1109/DDCLS.2019.8908919","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908919","url":null,"abstract":"This paper studies configuration design, relative navigation and control of non-cooperative flying-around mission $J_{4}$-perturbed elliptic orbit. $J_{2}$-perturbation is generally considered in most circumstances of satellites around the Earth, while the relative motion is under $J_{4}$-pertuabation to achieve more precise results. The key problem of flying-around mission is orbital control, a more general method is established which considers remote maneuvers, reconfiguration, flying-around and escape. Based on the orbital control in the paper, the initial conditions of object and tracking satellite are as appropriate but not unique. The Extended Kalman Filter is introduced to enhance the robustness of relative navigation system in cases of noises and errors caused by the measurements. With the introduce of Extended Kalman Filter in relative navigation and $J_{4}$ perturbation in relative motion, simulation results of the flying-around mission configuration design are more persuasive.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"74 11 1","pages":"1346-1350"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77513237","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908916
An Liu, Xiao-fei Lu, Shaolin Hu, Weihui He
The classical Hazard Rate Function (HRF) is typically used to make preventative maintenance (PM) decisions and always estimates HRF based on time to failure data. Even so, PM determination using conventional HRF is not suitable for systems with condition monitoring. The system is stopped checking and maintaining when the measured health state exceeds a predetermined threshold, which is always referred to as a soft failure. Since the application of HRF for PM decision making has great advantages, the classic HRF should be extended to combine soft and hard failure of systems with condition monitoring. In this paper, we define the HRFs of hard and soft failure for system under condition monitoring and propose a method to estimate the HRFs with data of failure time. We discuss in detail the relationship between these two HRFs and the classical HRF. With double stochastic processes (processes of degradation and measured healthy status), the properties of these HRFs are also researched. Further the optimal maintenance decisions are made for non-repairable and repairable systems upon these two types of HRFs. Eventually, the idea of this paper is verified by numerical examples.
{"title":"Health Maintenance Decisions Based on Hazard Rate Function under Degradation Process","authors":"An Liu, Xiao-fei Lu, Shaolin Hu, Weihui He","doi":"10.1109/DDCLS.2019.8908916","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908916","url":null,"abstract":"The classical Hazard Rate Function (HRF) is typically used to make preventative maintenance (PM) decisions and always estimates HRF based on time to failure data. Even so, PM determination using conventional HRF is not suitable for systems with condition monitoring. The system is stopped checking and maintaining when the measured health state exceeds a predetermined threshold, which is always referred to as a soft failure. Since the application of HRF for PM decision making has great advantages, the classic HRF should be extended to combine soft and hard failure of systems with condition monitoring. In this paper, we define the HRFs of hard and soft failure for system under condition monitoring and propose a method to estimate the HRFs with data of failure time. We discuss in detail the relationship between these two HRFs and the classical HRF. With double stochastic processes (processes of degradation and measured healthy status), the properties of these HRFs are also researched. Further the optimal maintenance decisions are made for non-repairable and repairable systems upon these two types of HRFs. Eventually, the idea of this paper is verified by numerical examples.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"109 1","pages":"962-968"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79125215","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8909043
Ying Du, Yueru Wang, Shaojun Chen, Xiang-qun Yang, Hui Liao, Chao Sun
It is difficult for conventional data mining methods to find out non-frequent and long-sequence satellite telemetry anomaly morphology, and the mining results are not compact and lack of time continuity. In this paper, an anomaly morphology extraction algorithm NPGM-AMEA for telemetry data based on normal pattern gap mining is proposed. Firstly, the satellite telemetry parameters are discretized by KT-Means algorithm, and the original telemetry parameters are converted into feature strings. Secondly, the feature pattern mining is carried out to obtain the feature pattern of telemetry normal sequence, that is, the frequent closure of feature string;Then, the gap between adjacent normal feature modes is located to obtain the location of the abnormal pattern; Finally, the abnormal feature string between the normal mode gaps are extracted and the abnormal curve shape of telemetry state is obtained by matching the abnormal feature string with the time series data. The correctness and reliability of the method are verified by the simulation experiment of abnormal shape mining of the telemetry parameters of a certain type of satellite.
{"title":"Satellite Telemetry Anomaly Morphology Extraction Based on Normal Mode Gap Mining","authors":"Ying Du, Yueru Wang, Shaojun Chen, Xiang-qun Yang, Hui Liao, Chao Sun","doi":"10.1109/DDCLS.2019.8909043","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909043","url":null,"abstract":"It is difficult for conventional data mining methods to find out non-frequent and long-sequence satellite telemetry anomaly morphology, and the mining results are not compact and lack of time continuity. In this paper, an anomaly morphology extraction algorithm NPGM-AMEA for telemetry data based on normal pattern gap mining is proposed. Firstly, the satellite telemetry parameters are discretized by KT-Means algorithm, and the original telemetry parameters are converted into feature strings. Secondly, the feature pattern mining is carried out to obtain the feature pattern of telemetry normal sequence, that is, the frequent closure of feature string;Then, the gap between adjacent normal feature modes is located to obtain the location of the abnormal pattern; Finally, the abnormal feature string between the normal mode gaps are extracted and the abnormal curve shape of telemetry state is obtained by matching the abnormal feature string with the time series data. The correctness and reliability of the method are verified by the simulation experiment of abnormal shape mining of the telemetry parameters of a certain type of satellite.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"70 1","pages":"1290-1294"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77902488","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8908873
Lu Lou, Qi Zhang, Chunfang Liu, Minglan Sheng, Yu Zheng, Xuan Liu
The vehicle detection and tracking are important tasks in intelligent transportation system. The traditional methods of vehicle detection often cause the coarse-grained results due to suffering from the complex environments. YOLO is a pragmatic approach to multi-target detection with a simple and effective algorithm. This paper use YOLO to detect the moving vehicles and use a modified Kalman filter algorithm to dynamically track the detected vehicles, achieving overall competitive performance in day or night. The experimental results show the method is robust to occluding vehicles or congested roads and can obtain 92.11% average accuracy of vehicle counting at 2.55 fps speed.
{"title":"Vehicles Detection of Traffic Flow Video Using Deep Learning","authors":"Lu Lou, Qi Zhang, Chunfang Liu, Minglan Sheng, Yu Zheng, Xuan Liu","doi":"10.1109/DDCLS.2019.8908873","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8908873","url":null,"abstract":"The vehicle detection and tracking are important tasks in intelligent transportation system. The traditional methods of vehicle detection often cause the coarse-grained results due to suffering from the complex environments. YOLO is a pragmatic approach to multi-target detection with a simple and effective algorithm. This paper use YOLO to detect the moving vehicles and use a modified Kalman filter algorithm to dynamically track the detected vehicles, achieving overall competitive performance in day or night. The experimental results show the method is robust to occluding vehicles or congested roads and can obtain 92.11% average accuracy of vehicle counting at 2.55 fps speed.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"111 1","pages":"1012-1017"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78106074","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}
Pub Date : 2019-05-01DOI: 10.1109/DDCLS.2019.8909006
Qiuhui Ma, Yan Wang, Weidong Yang, Bo Tao, Ying Zheng
Lithium-ion batteriesare widely used in our daily life. However, with the frequent use of lithium battery, the performance of lithium battery decreases due to the change of internal physical properties. The most intuitive result is that the capacity gradually decreases with the use of the battery. Therefore, timely and effective prediction of lithium-ion battery remaining useful life (RUL) is particularly important. In this paper, two new health indexes (HI), namely, discharging time difference of equal voltage interval (DtD_EVI) and discharging temperature difference of equal time interval (DTD_EtI), are proposed to represent the degradation process of lithium battery. Pearson correlation coefficient is used to analyze the relationship between these two health indexes and capacity, and then support vector regression (SVR) is used to establish the RUL regression model. Finally, the validity of the proposed method is verified by analyzing the lithium battery dataset of NASA.
{"title":"A Novel Health Index for Battery RUL Degradation Modeling and Prognostics","authors":"Qiuhui Ma, Yan Wang, Weidong Yang, Bo Tao, Ying Zheng","doi":"10.1109/DDCLS.2019.8909006","DOIUrl":"https://doi.org/10.1109/DDCLS.2019.8909006","url":null,"abstract":"Lithium-ion batteriesare widely used in our daily life. However, with the frequent use of lithium battery, the performance of lithium battery decreases due to the change of internal physical properties. The most intuitive result is that the capacity gradually decreases with the use of the battery. Therefore, timely and effective prediction of lithium-ion battery remaining useful life (RUL) is particularly important. In this paper, two new health indexes (HI), namely, discharging time difference of equal voltage interval (DtD_EVI) and discharging temperature difference of equal time interval (DTD_EtI), are proposed to represent the degradation process of lithium battery. Pearson correlation coefficient is used to analyze the relationship between these two health indexes and capacity, and then support vector regression (SVR) is used to establish the RUL regression model. Finally, the validity of the proposed method is verified by analyzing the lithium battery dataset of NASA.","PeriodicalId":6699,"journal":{"name":"2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS)","volume":"255 1","pages":"1077-1081"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73344383","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：