Browse > Article
http://dx.doi.org/10.6113/JPE.2016.16.5.1981

Development of an Intelligent Charger with a Battery Diagnosis Function Using Online Impedance Spectroscopy  

Nguyen, Thanh-Tuan (Department of Electrical Engineering, Soongsil University)
Doan, Van-Tuan (Department of Electrical Engineering, Soongsil University)
Lee, Geun-Hong (Department of Electrical Engineering, Soongsil University)
Kim, Hyung-Won (Department of Electrical Engineering, Soongsil University)
Choi, Woojin (Department of Electrical Engineering, Soongsil University)
Kim, Dae-Wook (Department of Economics, Soongsil University)
Publication Information
Journal of Power Electronics / v.16, no.5, 2016 , pp. 1981-1989 More about this Journal
Abstract
Battery diagnosis is vital to battery-based applications because it ensures system reliability by avoiding battery failure. This paper presents a novel intelligent battery charger with an online diagnosis function to circumvent interruptions in system operation. The charger operates in normal charging and diagnosing modes. The diagnosis function is performed with the impedance spectroscopy technique, which is achieved by injecting a sinusoidal voltage excitation signal to the battery terminals without the need for additional hardware. The impedance spectrum of the battery is calculated based on voltage excitation and current response with the aid of an embedded digital lock in amplifier in a digital signal processor. The measured impedance data are utilized in the application of the complex nonlinear least squares method to extract the battery parameters of the equivalent circuit. These parameters are then compared with the reference values to reach a diagnosis. A prototype of the proposed charger is applied to four valve-regulated lead-acid batteries to measure AC impedance. The results are discussed.
Keywords
Equivalent Circuit Parameter; EIS; Intelligent Charger; Online Battery Diagnosis; SOH Online Estimation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 H.-M. Ryu, "Highly Efficient High-Voltage MOSFET Converter with Bidirectional Power Flow Legs," Journal of Power Electronics, Vol. 14, No. 2, pp. 265-270, Mar. 2014.   DOI
2 R. W. Erickson and D. Maksimovic, Fundamental of Power Electronics, 2nd ed., Kluwer Academic, 2001.
3 A. Company, ATLASBX ITX Series.
4 L. Delkor Corporation, Delkor Battery DF80L Model.
5 J.-H. Lee, J.-H. Lee, W. Choi, K.-W. Park, H. Y. Sun, and J.-H. Oh, "Development of a method to estimate the lifespan of proton exchange membrane fuel cell using electrochemical impedance spectroscopy," Journal of Power Sources, Vol. 195, pp. 6001-6007, Mar. 2010.   DOI
6 M. Yekini Suberu, M. Wazir Mustafa, and N. Bashir, "Energy storage systems for renewable energy power sector integration and mitigation of intermittency," Renewable and Sustainable Energy Reviews, Vol. 35, pp. 499-514, Jul. 2014.   DOI
7 B.-H. Lee, D.-H. Shin, H.-S. Song, H. Heo, and H.-J. Kim, "Development of an advanced hybrid energy storage system for hybrid electric vehicles," Journal of Power Electronics, Vol. 9, No. 1, pp. 51-59, Jan. 2009.
8 S.-H. Han, H.-G. Kim, H. Cha, T.-W. Chun, and E.-C. Nho, "Bi-directional multi-level converter for an energy storage system," Journal of Power Electronics, Vol. 14, No. 3, pp. 499-506, May 2014.   DOI
9 D.-H. Jang and S.-K. Han, "Low cost high power density photovoltaic power conditioning system with an energy storage system," Journal of Power Electronics, Vol. 12, No. 3, pp. 487-494, May 2012.   DOI
10 C. Bussar, M. Moos, R. Alvarez, P. Wolf, T. Thien, H. Chen, Z. Cai, M. Leuthold, D.U. Sauer, and A. Moser, "Optimal allocation and capacity of energy storage systems in a future european power system with 100% renewable energy generation," Energy Procedia, Vol. 46, pp. 40-47, 2014.   DOI
11 H. Jung, H. Wang, and T. Hu, "Control design for robust tracking and smooth transition in power systems with battery/supercapacitor hybrid energy storage devices," Journal of Power Sources, Vol. 267, pp. 566-575, Dec. 2014.   DOI
12 H. Jia, Y. Mu, and Y. Qi, "A statistical model to determine the capacity of battery-supercapacitor hybrid energy storage system in autonomous microgrid," International Journal of Electrical Power & Energy Systems, Vol. 54, pp. 516-524, Jan. 2014.   DOI
13 C. Weng, Y. Cui, J. Sun, and H. Peng, "On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression," Journal of Power Sources, Vol. 235, pp. 36-44, Aug. 2013.   DOI
14 W. Waag and D. U. Sauer, "Secondary Batteries - Lead-Acid Systems | State-of-Charge/Health," in Encyclopedia of Electrochemical Power Sources, J. Garche (Ed.), Elsevier, Amsterdam, pp. 793-804, 2009.
15 S. S. Choi, and H. S. Lim, "Factors that affect cycle-life and possible degradation mechanisms of a Li-ion cell based on LiCoO2," Journal of Power Sources, Vol. 111, No. 1, pp. 130-136, Sep. 2002.   DOI
16 J. R. Belt, C.D. Ho, T. J. Miller, M. A. Habib, and T. Q. Duong, "The effect of temperature on capacity and power in cycled lithium ion batteries," Journal of Power Sources, Vol. 142, No. 1-2, pp. 354-360, Mar. 2005.   DOI
17 K. S. Ng, C.-S. Moo, Y.-P. Chen, and Y.-C. Hsieh, "Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries," Applied Energy, Vol. 86, No. 9, pp. 1506-1511, Sep. 2009.   DOI
18 K. Jonghoon, L. Seongjun, and B.H. Cho, "Complementary Cooperation Algorithm Based on DEKF Combined With Pattern Recognition for SOC/Capacity Estimation and SOH Prediction," IEEE Trans. Power Electron., Vol. 27, No. 1, pp. 436-451, Jan. 2012.   DOI
19 H. Blanke, O. Bohlen, S. Buller, R.W. De Doncker, B. Fricke, A. Hammouche, D. Linzen, M. Thele, and D.U. Sauer, "Impedance measurements on lead-acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles," Journal of Power Sources, Vol. 144, No. 2, pp. 418-425, Jun. 2005.   DOI
20 Y. Zhan, H. Wang, and J. Zhu. "Modelling and control of hybrid UPS system with backup PEM fuel cell/battery," International Journal of Electrical Power & Energy Systems, Vol.43, No. 1, pp. 1322-1331, Dec. 2012.   DOI
21 Y.-P. Yang, F.-C. Wang, H.-P. Chang, Y.-W. Ma, and B.-J. Weng, "Low power proton exchange membrane fuel cell system identification and adaptive control," Journal of Power Sources, Vol. 164, No.2, pp. 761-771, Feb. 2007.   DOI
22 Thanh-Tuan Nguyen and W. Choi, "Development of the Intelligent Charger with Embedded Battery Diagnosis Function Using Online Impedance Spectroscopy," in Power Electronics Annual Conference KIPE, pp. 329-330, 2013.
23 Van-Tuan Doan, Van-Binh Vu, Hai-Nam Vu, Duc-Hung Tran, and Woojin Choi, "Intelligent charger with online battery diagnosis function," in 9th International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia), 2015.
24 Thanh-Tuan Nguyen, Van-Long Tran and Woojin Choi, "Development of the intelligent charger with battery State-Of-Health estimation using online impedance spectroscopy," 23rd International Symposium on Industrial Electronics (ISIE), pp. 454-458, 2014.
25 F. Huet, "A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries," Journal of Power Sources, Vol. 70, No. 1, pp. 59-69, Jan. 1998.   DOI
26 L. Jong-Hak and C. Woojin, "Novel State-of-Charge Estimation Method for Lithium Polymer Batteries Using Electrochemical Impedance Spectroscopy," Journal of Power Electronics, Vol. 11, No. 2, pp. 237-243, Mar. 2011.   DOI
27 V. Kuznetsov, A. Maljusch, R.M. Souto, A.S. Bandarenka, and W. Schuhmann, "Characterisation of localised corrosion processes using scanning electrochemical impedance microscopy," Electrochemistry Communications, Vol. 44, pp. 38-41, 2014.   DOI
28 O.S. Mendoza-Hernandez, H. Ishikawa, Y. Nishikawa, Y. Maruyama, Y. Sone, and M. Umeda, "State of Charge Dependency of Graphitized-Carbon-Based Reactions in a Lithium-ion Secondary Cell Studied by Electrochemical Impedance Spectroscopy," Electrochimica Acta, Vol. 131, pp. 168-173, Jun. 2014.   DOI
29 Y. Xie, J. Li and C. Yuan, "Mathematical modeling of the electrochemical impedance spectroscopy in lithium ion battery cycling," Electrochimica Acta, Vol. 127, pp. 266-275, 2014.   DOI
30 G. I. Company, Gamry EIS300 Product Brochure.
31 L. WonATech Co., WEIS500 Electrochemical Workstation.
32 C. Woojin and L. Juhyung, "Development of the low-cost impedance spectroscopy system for modeling the electrochemical power sources," in 7th International Conference on Power Electronics ICPE '07, pp. 113-118, 2007.
33 J. M. Masciotti, J. M. Lasker, and A. H. Hielscher, "Digital lock-in detection for discriminating multiple modulation frequencies with high accuracy and computational efficiency," IEEE Trans. Instrum. Meas., Vol. 57, No. 1, pp. 182-189, Jan. 2008.   DOI
34 C. Fleischer, W. Waag, H.-M. Heyn, and D.U. Sauer, "On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models: Part 1. Requirements, critical review of methods and modeling," Journal of Power Sources, Vol. 260, pp. 276-291, Aug. 2014.   DOI
35 D. Andre, M. Meiler, K. Steiner, H. Walz, T. Soczka-Guth, and D. U. Sauer, "Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling," Journal of Power Sources, Vol. 196, No. 12, pp. 5349-5356, Jun. 2011.   DOI
36 K. Brik and F. ben Ammar, "Causal tree analysis of depth degradation of the lead acid battery," Journal of Power Sources, Vol. 228, pp. 39-46, Apr. 2013.   DOI
37 P. Ruetschi, "Aging mechanisms and service life of lead-acid batteries," Journal of Power Sources, Vol. 127, No. 1-2, pp. 33-44, Mar. 2004.   DOI
38 B. A. Boukamp, "A Nonlinear Least Squares Fit procedure for analysis of immittance data of electrochemical systems," Solid State Ionics, , Vol. 20, No. 1, pp. 31-44, Feb. 1986.   DOI
39 S. Manoharan, S. Birlasekaran, and C. V. Suryanarayana, "Computer program for nonlinear least square analysis of impedance and admittance data," Bulletin of Electrochemistry, Vol. 2, No. 5, pp. 509-513, 1986.
40 M. Reichert, D. Andre, A. Rösmann, P. Janssen, H. G. Bremes, D. U. Sauer, S. Passerini, and M. Winter, "Influence of relaxation time on the lifetime of commercial lithium-ion cells," Journal of Power Sources, Vol. 239, pp. 45-53, Oct. 2013.   DOI
41 M. A. Danzer and E. P. Hofer, "Electrochemical parameter identification - An efficient method for fuel cell impedance characterisation," Journal of Power Sources, Vol. 183, No. 1, pp. 55-61, Aug. 2008.   DOI