Design of An Efficient Battery Charging System Based on Ideal Multi-state Strategy

被引：2
|
作者：
Lin, H. C. [1 ]
He, Y. J. [1 ]
Liu, C. W. [1 ]
机构：
[1] Natl Chin Yi Univ Technol, Dept Elect Engn, 57,Sec 2,Zhongshan Rd, Taichung 41170, Taiwan
来源：
2016 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C) | 2016年
关键词：
Battery equalization; lead-acid batteries; current-controllable; self-management; charger; PULSE CHARGE;
D O I：
10.1109/IS3C.2016.242
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With increasing demand for backup electric power, the design of an efficient battery charger is essential in many industrial applications. However, traditional charging methods do not contribute an effective mechanism to achieve an optimal charging process. Therefore, this paper aims to design a current-controllable self-managing battery charging system, especially for lead-acid batteries. The proposed charger is based on an ideal multi state strategy, and it can provide a predefined constant current for both charging and holding currents. Additionally, the battery equalization circuit is also proposed to equalize every battery voltage at the same level before charging. The +24V that is used to drive the load can be connected to either AC or battery power automatically. For easy tracking the charging situation, all real-time information is displayed on LCD instantly. The experimental results confirm that the proposed scheme is superior in flexibility, high efficiency, and self-management capability.
引用
收藏
页码：956 / 959
页数：4
相关论文
共 50 条
  • [31] Multi-state system reliability assessment based on Bayesian networks
    Zhang, Xiaonan
    Lu, Xiaoyong
    Computer Modelling and New Technologies, 2014, 18 (08): : 31 - 38
  • [32] Availability of UAV Fleet Evaluation Based on Multi-State System
    Zaitseva, Elena
    Levashenko, Vitaly
    Mysko, Vladimir
    Czapp, Stanislaw
    Zhaxybayev, Darkhan
    IEEE ACCESS, 2024, 12 : 15290 - 15307
  • [33] On δ-shock model in a multi-state system
    Poursaeed, Mohammad Hossein
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2020, 49 (07) : 1761 - 1767
  • [34] Reliability estimation of a multi-state system
    School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
    Beijing Hangkong Hangtian Daxue Xuebao, 2007, 8 (968-971):
  • [35] The Multi-State System of Ancient China
    Fried, Morton
    AMERICAN ANTHROPOLOGIST, 1955, 57 (01) : 152 - 153
  • [36] FROM A BINARY-STATE SYSTEM TO A MULTI-STATE SYSTEM
    Ohi, Fumio
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2017, 24 (04): : 340 - 365
  • [37] Ant colony system for reliability optimization design problem of multi-state power system
    Bendjeghaba, Omar
    Ouahdi, Dris
    Acta Technica CSAV (Ceskoslovensk Akademie Ved), 2009, 54 (02): : 127 - 137
  • [38] The Design of Battery Charging System Based on Gas Evolution Volume Control
    Li, Bei
    Du, Lu-lu
    Zhang, Huai-de
    INTERNATIONAL CONFERENCE ON MECHANICAL DESIGN, MANUFACTURE AND AUTOMATION ENGINEERING (MDMAE 2014), 2014, : 476 - 480
  • [39] Compound Control Strategy for Flexible Multi-state Switch
    Huo Q.
    Su M.
    Wu L.
    Wei T.
    Wang P.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2018, 42 (07): : 166 - 170
  • [40] Multi-state control strategy for magnetorheological damper structures
    State Key Lab. of Costal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
    Yingyong Lixue Xuebao, 2008, 1 (162-167):
12345