The Experts below are selected from a list of 62094 Experts worldwide ranked by ideXlab platform
L. R. Chen - One of the best experts on this subject based on the ideXlab platform.
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a design of a grey predicted li ion Battery charge system
IEEE Transactions on Industrial Electronics, 2008Co-Authors: L. R. Chen, R.c. Hsu, Chuansheng LiuAbstract:In this paper, we consider an Li-Ion Battery as a grey system. The grey prediction technique is then used to develop a grey-predicted Li-Ion Battery charge system (GP-LBCS). The proposed GP-LBCS is designed to replace the general constant-voltage (CV) mode using the GP mode to improve the Li-Ion Battery charge behavior. A GP algorithm is built in GP-LBCS to make the charge trajectories faster and safer. A 3-D Y-mesh diagram for describing the charge trajectories of the proposed GP-LBCS is simulated. A GP-LBCS prototype is designed and implemented to assess the charge performance. Experiments show that the charge speed and the charge efficiency of the proposed GP-LBCS, compared with the general constant-current-CV charge system, are increased above 23% and 1.6%, respectively. The charge speed and efficiency in the proposed GP mode are improved above 34% and 7%, respectively, compared with that in the general CV mode.
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A grey-predicted Li-Ion Battery charge system
30th Annual Conference of IEEE Industrial Electronics Society 2004. IECON 2004, 2004Co-Authors: L. R. Chen, Hsin-ying YangAbstract:In this paper, a Li-Ion Battery is considered as a grey system and a predictable Li-Ion Battery charge system is implemented using the grey prediction theory. The proposed grey-predicted Li-Ion Battery charge system (GP-LBCS) can decrease charge time and avoid overcharge to increase life cycle. To assess the system performance, a prototype of the GP-LBCS is implemented. Experiments shown that the GM(1,1) model can precisely predict the Li-Ion Battery voltage, and the charge speed is increased about 16% such that the safe charge condition is held. These experimental results are very attractive as theory predicts.
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A study of Li-Ion Battery charge forecasting using Grey theory
2003Co-Authors: L. R. Chen, B.g. KuAbstract:In this paper, a study of Li-Ion Battery charge forecasting using Grey theory is presented. A test-bench system for the Battery charge forecasting is designed and built. Using this test-bench system, the charge condition for charging Li-Ion Battery can be easily set and the data of the charged Li-Ion Battery can be obtained, simultaneously. Experimental results show that the GM(1,1) model can actually predict the Li-Ion Battery voltage curve when its sampling period is smaller than the safe sampling period. How the safe sampling period determined is presented, and a mathematical formula is for determining the safe sampling period successfully obtained in this paper. Finally, a test example is implemented to assess this proposed Li-Ion Battery charging forecast method. The experimental results are very attractive as theory predicts.
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A study of Li-Ion Battery charge forecasting using Grey theory
The 25th International Telecommunications Energy Conference 2003. INTELEC '03., 2003Co-Authors: L. R. Chen, C.h. Lin, R.c. Hsu, C.s. LiuAbstract:In this paper, a study of Li-Ion Battery charge forecasting using Grey theory is presented. A test-bench system for the Battery charge forecasting is designed and built. Using this test-bench system, the charge condition for charging Li-Ion Battery can be easily set and the data of the charged Li-Ion Battery can be obtained, simultaneously. Experimental results show that the GM(1,1) model can actually predict the Li-Ion Battery voltage curve when its sampling period is smaller than the safe sampling period. How the safe sampling period determined is presented, and a mathematical formula is for determining the safe sampling period successfully obtained in this paper. Finally, a test example is implemented to assess this proposed Li-Ion Battery charging forecast method. The experimental results are very attractive as theory predicts.
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Fuzzy-controlled Li-Ion Battery charge system with active state-of-charge controller
IEEE Transactions on Industrial Electronics, 2001Co-Authors: Guan Chyun Hsieh, L. R. Chen, Kuo Shun HuangAbstract:A fuzzy-controlled active state-of-charge controller (FC-ASCC) for improving the charging behavior of a lithium-ion (Li-Ion) Battery is proposed. The proposed FC-ASCC is designed to replace the general constant-voltage charging mode by two kinds of modes: sense and charge. A fuzzy-controlled algorithm is built with the predicted charger performance to program the charging trajectory faster and to keep the charge operation in a proposed safe-charge area (SCA). A modeling work is conducted for analyzing and describing the Li-Ion Battery in charging process. A three-dimensional Y-mesh diagram for describing the charging trajectories of the proposed FC charger is simulated. A prototype of a Li-Ion Battery charger with FC-ASCC is simulated and realized to assess the predicted charging performance. Experiment shows that the charging speed of the proposed FC charger compared with the general one increases about 23% and the charger can safely work in the SCA
Xia Shi-liang - One of the best experts on this subject based on the ideXlab platform.
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Charge-discharge characteristics of polymer Li-Ion Battery used in EV
Chinese Journal of Power Sources, 2006Co-Authors: Xia Shi-liangAbstract:The charge-discharge performance experiments and analyses of 200 Ah polymer Li-Ion Battery at different rates were carried out,and the polymer Li-Ion Battery's characters of voltage,capacity,temperature and internal resistance were given.The results show that polymer Li-Ion Battery has a favorable high current charge-discharge ability and the specific energy is up to 190 Wh/kg,which is closed to the goal of 200 Wh/kg for USABC's long-term requirement.Polymer Li-Ion Battery has a good future in EV application.
Li Zhong-jun - One of the best experts on this subject based on the ideXlab platform.
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Additive of overcharge short-circuit for Li-Ion Battery
Chinese Journal of Power Sources, 2008Co-Authors: Li Zhong-junAbstract:In order to improve the overcharge tolerance of Li-Ion batteries,diphenyl ether as additive of overcharge short-circuit of Li-Ion batteries was studied.Experimental results show that diphenyl ether can be electro-oxidized at around 4.5 V(vs.Li/Li+)on Pt plate electrode in the organic electrolyte of Li-Ion Battery,and the polymer with excellent electrochemical activity is formed.Diphenyl ether has no obvious detrimental effect on the positive electrode material until 4.25 V by the LiMn2O4 powder microelectrode.The result of simulated LiMn2O4/Li cell shows that when the overcharge voltage reaches around 4.5 V,the cell voltage will not increase;at the same time,diphenyl ether is found to be electo-polymerized on the positive electrode from the observation of scanning electron microscope.Moreover,the produced H+ during polymerizing is reduced to H2 on the negative electrode,the internal pressure of batteries is raised,so the safety of Li-Ion Battery can be improved by activating safety valve.
Han L - One of the best experts on this subject based on the ideXlab platform.
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Advances in secondary use research of power Li-Ion Battery
Chinese Journal of Power Sources, 2014Co-Authors: Han LAbstract:With the rapid development of Li-Ion batteries for electric vehicle(EV), the recovery of power Li-Ion batteries was a serious problem in the coming years. Therefore, the secondary use of EV Li-Ion Battery should be considered. Ihe importance of the secondary use of EV Li-Ion Battery was analyzed. The current development of the Battery secondary use research was introduced, and the strategies and key technologies of the Battery secondary use were suggested.
Wang Hong - One of the best experts on this subject based on the ideXlab platform.
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Review on power Li-Ion Battery management system
Chinese Journal of Power Sources, 2010Co-Authors: Wang HongAbstract:Li-Ion Battery is one of the most promising energy resources for electric vehicles.It is important and necessary to study Battery management systems for lithium ion batteries pack in the application of electric vehicles.The development of Battery management systems was reviewed in the paper,including on-line check of Battery-pack parameters,SOC estimation,and equalization of lithium ion batteries pack.Finally,the future investigation for lithium ion Battery management systems was discussed.