含Buck电路的锂电池低功耗电量均衡技术研究

doi:10.19595/j.cnki.1000-6753.tces.170408

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (37544 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Lithium-ion battery, benefits from its high power density and long life-time and light weight, has been widely used in the field of electrical vehicle, communication device and household appliance. But it has also met with much skepticism due to its operating efficiency and stability. The main reason, leads to this problem, is thought to be power-unbalance of each battery cell during its charging and discharging process. It’s a hot topic and has been attracted much more attention in recent years. This work wants to solve this problem by using a buck chopper and Adaptive Unscented Kalman Algorithm for state of charge (SOC). Equalization circuit, control strategy and applications were emphatically discussed and have been verified by simulation and experiment. The advantages, compares to traditional method, include simplify circuit structure, less loss and fast response.

Key words： Lithium-ion battery Buck chopper power equalization circuit series-connected batteries

Received: 05 April 2017 Published: 13 June 2018

PACS:

TM911

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Wei Yewen
	Li Yingzhi
	Cao Bin
	Zhu Binxin
	Liu Guote

Cite this article:

Wei Yewen,Li Yingzhi,Cao Bin等. Research on Power Equalization of Lithium-Ion Batterieswith Less-Loss Buck Chopper[J]. Transactions of China Electrotechnical Society, 2018, 33(11): 2575-2583.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170408 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I11/2575

[1] 李哲, 卢兰光, 欧阳明高. 提高安时积分法估算电池SOC精度的方法比较[J]. 清华大学学报(自然科学版), 2010, 50(8):1293-1296.
Li Zhe, Lu Languang, Ouyang Minggao.Comparison methods for improving SOC estimation accuracy through ampere-hour integrationapproach[J]. Journal of Tsinghua University (Science and Technology), 2010,50(8): 1293-1296.
[2] Charkhgard M, Farrokhi M.State-of-charge estimation for lithium-ion batteries using neural networks and EKF[J]. IEEE Transactions on Industrial Electronics, 2011, 57(12): 4178-4187.
[3] Han J, Kim D, Sunwoo M.State-of-charge estimation of lead-acid batteries using an adaptive extended Kalmanfilter[J]. Journal of Power Sources, 2009,188(2):606-612.
[4] Laldin O, MoshirvaziriM, Trescases O. Predictive algorithm for optimizing power flow in hybrid ultra-capacitor/battery storage systems for light electric vehicles[J]. IEEE Transactions on Power Electronics, 2013, 28(8): 3882-3895.
[5] 郭向伟. 电动汽车荷电状态估计及均衡技术研究[D]. 广州: 华南理工大学, 2016.
[6] 艾洪克,吴俊勇,田明杰,等.组合级联式大容量储能系统两级SOC自均衡策略研究[J].电力系统保护与控制,2014,42(22):75-80.
Ai Hongke, Wu Junyong, TianMingjie, et al. Research on two-stage SOC self-balancing control strategy in hybrid cascade energy storage system[J]. Power System Protection and Control, 2014,42(22):75-80.
[7] 朱小平, 张涛. 基于自适应理论的锂离子电池SOC估计[J]. 电气技术,2013,14(7):47-50.
Zhu Xiaoping, Zhang Tao.New method of SOC estimation for lithium-ion batteries based on self-adaptive system[J]. Electrical Engineering, 2013,14(7):47-50.
[8] 张金龙. 动力电池组SOC估算及均衡控制方法研究[D]. 天津: 天津大学, 2011.
[9] 熊永华, 杨艳, 李浩, 等. 基于SOC的锂动力电池多层双向自均衡方法[J]. 电子学报, 2014, 42(4): 766-773.
XiongYonghua, Yang Yan, Li Hao, et al. Multi-level bi-directional active equalization method in lithium-ion power battery based on state-of-charge[J]. Acta Electronica Sinica, 2014, 42(4): 766-773.
[10] Lim C S, Lee K J, Ku N J, et al.A modularized equalization method based onmagnetizing energy for a series-connected lithium-ion battery string[J]. IEEETransactions on Power Electronics, 2014, 29(4): 1791-1799.
[11] 冯能莲, 陈龙科, 汤杰. 串联电池组电容式均衡系统研究[J]. 重庆理工大学学报(自然科学), 2016, 30(1):1-6.
Feng Nenglian, Chen Longke, Tang Jie.Study on capacitive equalizing system for series battery[J]. Journal of Chongqing Institute of Technology (Natural Science), 2016, 30(1):1-6.
[12] 王伟, 薛金花, 叶季蕾, 等. 基于SOC调控的用于抑制光伏波动的电池储能优化控制方法[J].电力系统保护与控制,2014,42(2):75-80.
Wang Wei, XueJinhua, Ye Jilei, et al. An optimization control design of battery energy storage based on SOC for leveling off the PV power fluctuation[J]. Power System Protection and Control, 2014,42(2):75-80.
[13] 连湛伟,石欣,克潇,等.电动汽车充换电站动力电池全寿命周期在线检测管理系统[J].电力系统保护与控制,2014,42(12):137-142.
LianZhanwei, Shi Xin, Ke Xiao, et al. The whole life cycle on-line detection and management system of power battery in the electric vehicle charging and exchanging station[J]. Power System Protection and Control, 2014,42(12):137-142.
[14] 冯飞, 逯仁贵, 朱春波. 一种锂离子电池低温SOC估计算法[J]. 电工技术学报, 2014, 29(7): 53-58.
Feng Fei, Lu Rengui, Zhu Chunbo.State of charge estimation of Li-ion battery at low temperature[J]. Transactions of China Electrotechnical Society, 2014, 29(7): 53-58.
[15] 陈息坤, 孙冬, 陈小虎. 锂离子电池建模及其荷电状态鲁棒估计[J]. 电工技术学报, 2015, 30(15): 141-147.
Chen Xikun, Sun Dong, Chen Xiaohu.Modeling and state of charge robust estimation for lithium-ion batteries[J]. Transactions of China ElectrotechnicalSociety, 2015, 30(15): 141-147.
[16] 王炜信, 段建东, 张润松, 等. 孤岛电网中多储能设备SOC一致性优化策略[J]. 电工技术学报, 2015, 30(23): 126-135.
Wang Weixin, DuanJiandong, Zhang Runsong, et al. Optimal state-of-charge balancing control for paralleled battery energy storage devices in islanded micro-grid[J]. Transactions of China Electrotechnical Society, 2015, 30(23): 126-135.