Discrete Wavelet Transform-Based Feature Extraction of Experimental Voltage Signal for Li-Ion Cell Consistency

IEEE Transactions on Vehicular Technology

Volumn 65, Issue 3, 2016, Pages 1150-1161

  Kim, Jonghoon ^a  

^a Chosun University   (South Korea)

Author keywords

Cell to cell variation; discrete wavelet transform (DWT); multiresolution analysis (MRA); state of charge (SOC); state of health (SOH)

Indexed keywords

BATTERY MANAGEMENT SYSTEMS; CHARGING (BATTERIES); DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; IONS; LITHIUM; LITHIUM-ION BATTERIES; MULTIRESOLUTION ANALYSIS; VOLTAGE MEASUREMENT; WAVELET DECOMPOSITION;

CELL-TO-CELL VARIATION; CHARGING/DISCHARGING; ELECTROCHEMICAL CHARACTERISTICS; STATE OF CHARGE; STATE OF HEALTH; TIME AND FREQUENCY DOMAINS; TRANSIENT PHENOMENON; WIDE FREQUENCY RANGE;

WAVELET TRANSFORMS;

EID: 84963814171     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2015.2414936     Document Type: Article

References (47)

1. L.-R. Chen, J.-J. Chen, C.-M. Ho, S.-L. Wu, and D.-T. Shieh, "Improvement of Li-ion battery discharging performance by pulse and sinusoidal current strategies," IEEE Trans. Ind. Electron., vol. 60, no. 12, pp. 5620-5628, Dec. 2013.
2. T. Kim, W. Qiao, and L. Qu, "Power electronics-enabled self-X multicell batteries: A design toward smart batteries," IEEE Trans. Power Electron., vol. 27, no. 11, pp. 4723-4733, Nov. 2012.
3. M. E. Orchard, P. Hevia-Koch, B. Zhang, and L. Tang, "Risk measures for particle-filtering-based state-of-charge prognosis in lithium-ion batteries," IEEE Trans. Ind. Electron., vol. 60, no. 11, pp. 5260-5269, Nov. 2013.
4. D. D. Quinn and T. T. Hartley, "Design of novel charge balancing networks in battery packs," J. Power Sources, vol. 240, pp. 26-32, Oct. 2013.
5. A. Chaouachi, R. M. Kamel, R. Andoulsi, and K. Nagasaka, "Multiobjective intelligent energy management for a microgrid," IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1688-1699, Apr. 2013.
6. S. Chopra and P. Bauer, "Driving range extension of EV with on-road contactless power transfer - A case study," IEEE Trans. Ind. Electron., vol. 60, no. 1, pp. 329-338, Jan. 2013.
7. P. Muñoz-Condes et al., "On condition maintenance based on the impedance measurement for traction batteries: Development and industrial implementation," IEEE Trans. Ind. Electron., vol. 60, no. 7, pp. 2750-2759, Jul. 2013.
8. Y. Zheng et al., "Cell state-of-charge inconsistency estimation for LiFePO4 battery pack in hybrid electric vehicles using mean-difference model," Appl. Energy, vol. 111, pp. 571-580, Nov. 2013.
9. L. Zhong, C. Zhang, Y. He, and Z. Chen, "A method for the estimation of the battery pack state of charge based on in-pack cells uniformity analysis," Appl. Energy, vol. 113, pp. 558-564, Jan. 2014.
10. C. Hu, B. D. Youn, and J. Chung, "A multiscale framework extended Kalman filter for lithium-ion battery SOC and capacity estimation," Appl. Energy, vol. 92, pp. 694-704, Apr. 2012.
11. J. Li and M. S. Mazzola, "Accurate battery pack modeling for automotive application," J. Power Sources, vol. 237, pp. 215-228, Sep. 2013.
12. Y. Zheng, X. Han, L. Lu, J. Li, and M. Ouyang, "Lithium ion battery pack power fade fault identification based on Shannon entropy in electric vehicles," J. Power Sources, vol. 223, pp. 136-146, Feb. 2013.
13. G. J. Offer, V. Yufit, D. A. Howey, B. Wu, and N. P. Brandon, "Module design and fault diagnosis in electric vehicle batteries," J. Power Sources, vol. 206, pp. 383-392, May 2012.
14. C.-M. Young, N.-Y. Chen, L.-R. Chen, Y.-C. Hsiao, and C.-Z. Li, "A single-phase multilevel inverter with battery balancing," IEEE Trans. Ind. Electron., vol. 60, no. 5, pp. 1972-1978, May 2013.
15. J. Gallardo-Lozano, E. Romero-Cadaval, M. I. Milanes-Montero, and M. A. Guerrero-Martinez, "Battery equalization active methods," J. Power Sources, vol. 246, pp. 934-949, Jan. 2014.
16. Y. Zheng et al., "On-line equalization for lithium-ion battery packs based on charging cell voltages: Part 1. Equalization based on remaining charging capacity estimation," J. Power Sources, vol. 247, pp. 676-686, Feb. 2014.
17. C.-S. Lim, K.-J. Lee, N.-J. Ku, D.-S. Hyun, and R.-Y. Kim, "A modularized equalization method based on magnetizing energy for a seriesconnected lithium-ion battery string," IEEE Trans. Power Electron., vol. 29, no. 4, pp. 1791-1799, Apr. 2014.
18. J. Kim and B. H. Cho, "Screening process-based modeling of the multicell battery string in series and parallel connections for high accuracy state-of-charge estimation," Energy, vol. 57, pp. 581-599, Aug. 2013.
19. K. L. V. Iyer, X. Lu, Y. Usama, V. Ramakrishnan, and N. C. Kar, "A twofold Daubechies-wavelet-based module for fault detection and voltage regulation in SEIGs for distributed wind power generation," IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1638-1651, Apr. 2013.
20. S. K. Jain and S. N. Singh, "Low-order dominant harmonic estimation using adaptive wavelet neural network," IEEE Trans. Ind. Electron., vol. 61, no. 1, pp. 428-435, Jan. 2014.
21. J. T. Bialasiewicz, D. Gonzalez, J. Balcells, and J. Gago, "Wavelet-based approach to evaluation of signal integrity," IEEE Trans. Ind. Electron., vol. 60, no. 10, pp. 4590-4598, Oct. 2013.
22. F. B. Costa, "Fault-induced transient detection based on real-time analysis of the wavelet coefficient energy," IEEE Trans. Power Del., vol. 29, no. 1, pp. 140-153, Feb. 2014.
23. S. Dusmez and A. Khaligh, "A supervisory power-splitting approach for a new ultracapacitor-battery vehicle deploying two propulsion machines," IEEE Trans. Ind. Inform., vol. 10, no. 3, pp. 1960-1971, Aug. 2014.
24. S. I. Han and J. M. Lee, "Precise positioning of nonsmooth dynamic systems using fuzzy wavelet echo state networks and dynamic surface sliding mode control," IEEE Trans. Ind. Electron., vol. 60, no. 11, pp. 5124-5136, Nov. 2013.
25. C. Arizmendi, A. Vellido, and E. Romero, "Classification of human brain tumours from MRS data using discrete wavelet transform and Bayesian neural networks," Expert Syst. Appl., vol. 39, no. 5, pp. 5223-5232, Apr. 2012.
26. P. Zheng and J. Huang, "Discrete wavelet transform and data expansion reduction in homomorphic encrypted domain," IEEE Trans. Image Process., vol. 22, no. 6, pp. 2455-2468, Jun. 2013.
27. R. Yan, R. X. Gao, and X. Chen, "Wavelets for fault diagnosis of rotary machines: A review with applications," Signal Process., vol. 96, pp. 1-15, Mar. 2014.
28. B. Chen et al., "Fault feature extraction of gearbox by using overcomplete rational dilation discrete wavelet transform on signals measured from vibration sensors," Mech. Syst. Signal Process., vol. 33, pp. 275-298, Nov. 2012.
29. J. Seshadrinath, B. Singh, and B. K. Panigrahi, "Investigation of vibration signatures for multiple fault diagnosis in variable frequency drives using complex wavelet," IEEE Trans. Power Electron., vol. 29, no. 2, pp. 936-945, Feb. 2014.
30. S. Avdakovic, A. Nuhannovic, M. Kusljugic, and M. Music, "Wavelet transform applications in power system dynamics," Electr. Power Syst. Res., vol. 83, no. 1, pp. 237-245, Feb. 2012.
31. Q. Jiang and H. Hong, "Wavelet-based capacity configuration and coordinated control of hybrid energy storage system for smoothing out wind power fluctuations," IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1363-1372, May 2013.
32. A. Samui and S. R. Samantaray, "Wavelet singular entropy-based islanding detection in distributed generation," IEEE Trans. Power Del., vol. 28, no. 1, pp. 411-418, Jan. 2013.
33. W. Zhang, Z. Jiang, Z. Gao, and Y. Liu, "An efficient VLSI architecture for lifting-based discrete wavelet transform," IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 59, no. 3, pp. 158-162, Mar. 2012.
34. W.-R. Yang, "Discrete wavelet transform and radial basis neural network for semiconductor wet-etching fabrication flow-rate analysis," IEEE Trans. Instrum. Meas., vol. 61, no. 4, pp. 865-875, Apr. 2012.
35. S. Lee, J. Kim, J. Lee, and B. H. Cho, "State-of-charge and capacity estimation of lithium battery using a new open-circuit voltage versus stateof-charge," J. Power Sources, vol. 185, pp. 1367-1373, Dec. 2008.
36. J. Kim, S. Lee, and B. H. Cho, "Stable configuration of a Li-ion series battery pack based on a screening process for improved voltage/SOC balancing," IEEE Trans. Power Electron., vol. 27, no. 1, pp. 411-424, Jan. 2012.
37. [Online]. Available: http://www.samsungsdi.com
38. E. Gómez-Luna, D. Silva, G. Aponte, J. G. Pleite, and D. Hinestroza, "Obtaining the electrical impedance using wavelet transform from the time response," IEEE Trans. Power Del., vol. 28, no. 2, pp. 1242-1244, Apr. 2013.
39. C. Sen, Y. Usama, T. Carciumaru, X. Lu, and N. C. Kar, "Design of a novel wavelet based transient detection unit for in-vehicle fault determination and hybrid energy storage system," IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 422-433, Mar. 2012.
40. J.-H. Kim, S.-J. Lee, J.-M. Lee, and B. H. Cho, "A new direct current internal resistance and state of charge relationship for the Li-ion battery pulse power estimation," in Proc. 7th Int. Conf. Power ElectronD., aegu, Korea, Oct. 2007, pp. 1173-1178.
41. A. Bouzida et al., "Fault diagnosis in industrial machines through discrete wavelet transform," IEEE Trans. Ind. Electron., vol. 58, no. 9, pp. 4385-4395, Sep. 2011.
42. M. Riera-Guasp, J. A. Antonino-Daviu, J. Roger-Folch, and M. P. M. Palomares, "The use of the wavelet approximation signal as a tool for the diagnosis of rotor bar failures," IEEE Trans. Ind. Appl., vol. 44, no. 3, pp. 716-726, May/Jun. 2008.
43. A. A. Hossam Eldin and M. A. Refaey, "A novel algorithm for discrimination between inrush current and internal faults in power transformer differential protection based on discrete wavelet transform," Electr. Power Syst. Res., vol. 81, pp. 19-24, Jan. 2011.
44. M. Riera-Guasp, J. A. Antonino-Daviu, M. Pineda-Sanchez, R. Puche-Panadero, and J. Perez-Cruz, "A general approach for the transient detection of slip-dependent fault components based on the discrete wavelet transform," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4167-4180, Dec. 2008.
45. M. Riera-Guasp, J. A. Antonino-Daviu, J. Rusek, and J. Roger-Folch, "Diagnosis of rotor asymmetries in induction motors based on the transient extraction of fault components using filtering techniques," Electr. Power Syst. Res., vol. 79, pp. 1181-1191, Aug. 2009.
46. J. Antonino-Daviu, M. Riera-Guasp, J. Roger-Folch, F. Martinez-Gimenez, and A. Peris, "Application and optimization of the discrete wavelet transform for the detection of broken rotor bars in induction machines," Appl. Comput. Harmonic Anal., vol. 21, no. 2, pp. 268-279, Sep. 2006.
47. O. A. Mohammed, N. Y. Abed, and S. Ganu, "Modeling and characterization of induction motor internal faults using finite-element and discrete wavelet transforms," IEEE Trans. Magn., vol. 42, no. 10, pp. 3434-3436, Oct. 2006.