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Review on State of Charge Estimation Methods for Li-Ion Batteries
Zhang, Xiaoqiang,Zhang, Weiping,Li, Hongyu,Zhang, Mao The Korean Institute of Electrical and Electronic 2017 Transactions on Electrical and Electronic Material Vol.18 No.3
The state of charge (SOC) is an important parameter in a battery-management system (BMS), and is very significant for accurately estimating the SOC of a battery. Li-ion batteries boast of excellent performance, and can only remain at their best working state by means of accurate SOC estimation that gives full play to their performances and raises their economic benefits. This paper summarizes some measures taken in SOC estimation, including the discharge experiment method, the ampere-hour integral method, the open circuit voltage method, the Kalman filter method, the neural network method, and electrochemical impedance spectroscopy (EIS. The principles of the various SOC estimation methods are introduced, and their advantages and disadvantages, as well as the working conditions adopted during these methods, are discussed and analyzed.
Review on State of Charge Estimation Methods for Li-Ion Batteries
Xiaoqiang Zhang,Wei-ping Zhang,Hongyu Li,Mao Zhang 한국전기전자재료학회 2017 Transactions on Electrical and Electronic Material Vol.18 No.3
The state of charge (SOC) is an important parameter in a battery-management system (BMS), and is very significantfor accurately estimating the SOC of a battery. Li-ion batteries boast of excellent performance, and can only remainat their best working state by means of accurate SOC estimation that gives full play to their performances and raisestheir economic benefits. This paper summarizes some measures taken in SOC estimation, including the dischargeexperiment method, the ampere-hour integral method, the open circuit voltage method, the Kalman filter method,the neural network method, and electrochemical impedance spectroscopy (EIS. The principles of the various SOCestimation methods are introduced, and their advantages and disadvantages, as well as the working conditionsadopted during these methods, are discussed and analyzed.
Xiaoqiang Yu,Lei He,Yuting Hu,Jiajie Li,Xiao Liu,Yuhan Wang,Chunji Li,Munan Yang,Zhenchen Zhong 한국자기학회 2022 Journal of Magnetics Vol.27 No.2
Cerium-containing (Ce) rare earth magnets with extraordinary cost-effectiveness are widely investigated around the world. However, when the concentration of Ce is much more, the kind of these magnets exhibits very poor thermal stability and overall magnetic properties. To weaken these disadvantages, we take eutectic Y50Ce50 co-substitution alloys into account in this work. Magnetic properties, microstructures and metallurgical behaviors of (Y, Ce, Nd)-Fe-B magnets are systematically researched. For (Y50Ce50)10Nd20Fe68.9B1.1 SPSed permanent magnets, good overall magnetic properties are Hcj = 725 kA/m, Jr = 0.73 T and (BH)max = 81 kJ/m³. It schematically depicts that coarse grain zones and fine grain zones occur during the spark plasma sintering (SPS) process. With the Nd content increasing, the deleterious CeFe₂ phases disappear. In addition, the volume fraction and width of coarse grain zones decrease. Ce-rich and Ce-lean regions are also observed in main phases, while Y and Nd elements are uniformly distributed. TEM results show that Nd and Ce are rich in the grain boundary and Y elements prefer to enter in 2:14:1 main phases. This work is favorable to a balanced utilization of high abundance rare earth elements in Nd-Fe-B magnets.
Li Juanfei,Wu Lei,Ma Mingyu,Song Ruifeng,Dong Chunhui,Wei Junfang,Li Jinsheng,Wang Xiaoqiang,Li Mingya 한국물리학회 2023 Current Applied Physics Vol.46 No.-
La0.7Sr0.3MnO3 (LSMO)/LaNiO3 (LNO) thin films were deposited successively on Si single crystal by the sol-gel method. The bipolar resistive switching (RS) behavior was studied in Al/LSMO/LNO devices. Obvious current hysteresis was observed, the set (reset) voltage and resistance ratio were modulated by the annealing temperature of LSMO thin films. At the annealing temperature of 750 ◦C, good endurance and retention performance were obtained in the memory device. According to the fitting results of I–V curves, based on Schottky emission model, the conduction mechanisms of Al/LSMO/LNO devices were discussed. Our results may give a valuable insight on developing perovskite-type rare earth manganese oxide.
A Novel Definition of Spectrum Holes for Improved Spectrum Utilization Efficiency
( Xiaoqiang Li ),( Qi Zhou ),( Hui Dai ),( Jie Zhang ),( Ying Li ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.3
Improving spectrum utilization efficiency is a fundamental goal of dynamic spectrum access technology. The definition of spectrum holes determines how to detect and exploit them. Current definitions of spectrum holes are ineffective in exploiting spatial-temporal spectrum holes. In this paper, a novel definition of spectrum holes is proposed, in which throughput loss indicates the impact of secondary users on primary users. The definition specifies spectrum holes, unifies the impact of secondary users on primary users and is effective exploiting spatial-temporal spectrum holes. Theoretical analysis and numerical simulations show that the new definition proposed in this paper significantly improves the spectrum utilization efficiency.
Pulsed Electric Current Sintering of Nano-crystalline Iron-base Powders
Li Yuanyuan,Long Yan,Li Xiaoqiang,Liu Yunzhong 한국분말야금학회 2006 한국분말야금학회 학술대회논문집 Vol.2006 No.1
A new process of pulsed electric current sintering was developed. It combines compaction with activated sintering effectively and can manufacture bulky nano-crystalline materials very quickly. A nano-structured steel is obtained with high relative density and hardness by this process. The average grain size of iron matrix is 58nm and the carbide particulate size is less than 100 nm. The densification temperature of ball-milled powders is approximately lower than that of blended powders. When the sintering temperature increases, the density of as-sintered specimen increases but the hardness of as-sintered specimen first increases and then decreases.
Zeng Li,Gaojian Cui,Shaosong Li,Niaona Zhang,Yunsheng Tian,Xiaoqiang Shang 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.4
To address the failure to consider vehicle states in region of interest (ROI) prediction, we propose the use of a Kalman filter to estimate the position of vehicles relative to lanes by vehicle states on the basis of a vehicle–road micro traffic model in the world coordinate system. The central position of the ROI is determined through a combination of optimal preview time theory with the ROI prediction. The range of the ROI is determined by offsetting upward, downward, leftward, and rightward from the central position of the ROI. The left and right ROI are processed separately to detect lane lines. Simulation results show that the proposed prediction method reduces the ROI range, and the model predictive control controller can make the vehicle run smoothly from the initial position to the road centerline.
A Text Similarity Measurement Method Based on Singular Value Decomposition and Semantic Relevance
Li, Xu,Yao, Chunlong,Fan, Fenglong,Yu, Xiaoqiang Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.4
The traditional text similarity measurement methods based on word frequency vector ignore the semantic relationships between words, which has become the obstacle to text similarity calculation, together with the high-dimensionality and sparsity of document vector. To address the problems, the improved singular value decomposition is used to reduce dimensionality and remove noises of the text representation model. The optimal number of singular values is analyzed and the semantic relevance between words can be calculated in constructed semantic space. An inverted index construction algorithm and the similarity definitions between vectors are proposed to calculate the similarity between two documents on the semantic level. The experimental results on benchmark corpus demonstrate that the proposed method promotes the evaluation metrics of F-measure.
A Text Similarity Measurement Method Based on Singular Value Decomposition and Semantic Relevance
( Xu Li ),( Chunlong Yao ),( Fenglong Fan ),( Xiaoqiang Yu ) 한국정보처리학회 2017 Journal of information processing systems Vol.13 No.4
The traditional text similarity measurement methods based on word frequency vector ignore the semantic relationships between words, which has become the obstacle to text similarity calculation, together with the high-dimensionality and sparsity of document vector. To address the problems, the improved singular value decomposition is used to reduce dimensionality and remove noises of the text representation model. The optimal number of singular values is analyzed and the semantic relevance between words can be calculated in constructed semantic space. An inverted index construction algorithm and the similarity definitions between vectors are proposed to calculate the similarity between two documents on the semantic level. The experimental results on benchmark corpus demonstrate that the proposed method promotes the evaluation metrics of F-measure.
Cuiping Li,Jiuqiang Han,Qibin Huang,Xiaoqiang Dong,Xuequan Ding,Yaming Ding,Dianguo Zhang,Ning Mu 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
It is very difficult to apply non-dispersive infrared sensor to detect the indoor air quality and maintain very low zero and temperature drift over long periods. Frequently manual zero setting and calibration are required. To solve the issues of zero and temperature drift of non-dispersive infrared sensor, a software model based on zero gas intensity, reference channels intensity, standard temperature, environmental temperature, temperature drift coefficient, etc. has been established to automatically modify and compensate the zero and temperature drift existing in the long-term continuous operation of the infrared sensor. The test result and long-term application indicate the detection precision of the instrument is less than 5%F.S in various changing environmental conditions. The average detection precision of carbon dioxide has been improved from 9.26% before comprehensive processing to 1.23% after processing, while the average detection precision of methane has been improved from 10.61% before comprehensive processing to 0.70% after processing. As a result, the disadvantages existing in many gas detectors including poor stability and short calibration cycle have been overcome, thus effectively improving the detection precision and stability of the instrument and reducing the maintenance cost.