An Online Adaptive Internal Short Circuit Detection Method of Lithium-Ion Battery

Sahinoglu, G.O., Pajovic, M., Sahinoglu, Z., Wang, Y., Orlik, P.V., Wada, T.: Battery state-of-charge estimation based on regular/recurrent gaussian process regression. IEEE Trans. Ind. Electron. 65(5), 4311–4321 (2018)

Wang, Y., Chen, Z.: A framework for state-of-charge and remaining discharge time prediction using unscented particle filter. Appl. Energy 260, 114324 (2020)

Zheng, L., Zhu, J., Wang, G., Lu, D.D.C., He, T.: Lithium-ion battery instantaneous available power prediction using surface lithium concentration of solid particles in a simplified electrochemical model. IEEE Trans. Ind. Electron. 33(11), 9551–9560 (2018)

Wei, Z., Zhao, J., Ji, D., Tseng, K.J.: A multi-timescale estimator for battery state of charge and capacity dual estimation based on an online identified model. Appl. Energy 204, 1264–1274 (2017)

Wei, Z., Meng, S., Xiong, B., Ji, D., Tseng, K.J.: Enhanced online model identification and state of charge estimation for lithium-ion battery with a FBCRLS based observer. Appl. Energy 181, 332–341 (2016)

Zhang, Y., Xiong, R., He, H., Qu, X., Pecht, M.: Aging characteristics-based health diagnosis and remaining useful life prognostics for lithium-ion batteries. eTransportation. 1, 100004 (2019)

Tanim, T.R., Dufek, E.J., Walker, L.K., Ho, C.D., Hendricks, C.E., Christophersen, J.P.: Advanced diagnostics to evaluate heterogeneity in lithium-ion battery modules. eTransportation. 3, 100045 (2020)

Williard, N., He, W., Hendricks, C., Pecht, M.: Lessons learned from the 787 dreamliner issue on lithium-ion battery reliability. Energies. 6, 4682–4695 (2013)

Wang, S., Sun, Y., Huang, Z., Mu, S.: Analysis of stator internal phase-to-phase short circuit in the 12-phase synchronous generator with rectifier-load system. IEEE Trans. Energy Convers. 33(1), 299–311 (2018)

Feng, X., Ouyang, M., Liu, X., Lu, L., Xia, Y., He, X.: Thermal runaway mechanism of lithium ion battery for electric vehicles: a review. Energy Storage Mater. 10, 246–267 (2017)

Finegan, D., Darcy, E., Keyser, M., et al.: Characterizing thermal runaway within lithium-ion cells by inducing and monitoring internal short circuits. Energy Environ. Sci. 10(6), 1377–1388 (2017)

Ramadass, P., Fang, W., Zhang, Z.: Study of internal short in a Li-ion cell I. Test method development using infra-red imaging technique. J. Power Sources. 248, 769–776 (2014)

Moeini, A., Wang, S.: Fast and precise detection of internal short circuit on Li-ion battery. Paper presented at the 2018 IEEE Energy Conversion Congress and Exposition, Portland, OR, 23-27 Sept 2018

Xia, B., Mi, C., Chen, Z., Robert, B.: Multiple cell lithium-ion battery system electric fault online diagnostics. Paper presented at the 2015 IEEE Transportation Electrification Conference and Expo, Dearborn, MI, 14-17 June 2015

Zhang, M., et al.: Battery internal short circuit detection. ECS Trans. 77, 217–223 (2017)

Kong, X., Zheng, Y., Ouyang, M., Lu, L., Li, J., Zhang, Z.: Fault diagnosis and quantitative analysis of micro-short circuits for lithium-ion batteries in battery packs. J. Power Sources 395, 358–368 (2018)

Kong, X., Zheng, Y., Ouyang, M., et al.: Signal synchronization for massive data storage in modular battery management system with controller area network. Appl. Energy 197, 52–62 (2017)

Ouyang, M., Zhang, M., Feng, X., et al.: Internal short circuit detection for battery pack using equivalent parameter and consistency method. J. Power Sources 294, 272–283 (2015)

Gao, W., Zheng, Y., Ouyang, M., Li, J., Lai, X., Hu, X.: Micro-short circuit diagnosis for series-connected lithium-ion battery packs using mean-difference model. IEEE Trans. Ind. Electron. 66(3), 2132–2142 (2018)

Zhang, Z., Kong, X., Zheng, Y., Zhou, L., Lai, X.: Real-time diagnosis of micro-short circuit for Li-ion batteries utilizing low-pass filters. Energy. 166, 1013–1024 (2019)

Feng, X., Pan, Y., He, X., Wang, L., Ouyang, M.: Detecting the internal short circuit in large-format lithium-ion battery using model-based fault-diagnosis algorithm. J. Energy Storage. 18, 26–39 (2018)

Feng, X., Weng, C., Ouyang, M., Sun, J.: Online internal short circuit detection for a large format lithium ion battery. Appl. Energy 161, 168–180 (2016)

Seo, M., Park, M., Song, Y., Kim, S. W.: Model-based internal short circuit detection of lithium-ion batteries using standard charge profiles. Paper presented at the 4th International Conference on Smart and Sustainable Technologies, Split, Croatia, 18-21 June 2019

Chen, Z., Xiong, R., Tian, J., Shang, X., Lu, J.: Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles. Appl. Energy 184, 365–374 (2016)

Kim, T., Makwana, D., Adhikaree, A., Vagdoda, J., Lee, Y.: Cloud-based battery condition monitoring and fault diagnosis platform for large-scale lithium-ion battery energy storage systems. Energies 11(1), 125 (2018)

Hu, X., Li, S., Peng, H.: A comparative study of equivalent circuit models for Li-ion batteries. J. Power Sources 198, 359–367 (2012)

Plett, G.: Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: part 1. Background. J. Power Sources. 134, 252–261 (2004)

Wei, Z., Dong, G., Zhang, X., Pou, J., Quan, Z., He, H.: Noise-immune model identification and state of charge estimation for lithium-ion battery using bilinear parameterization. IEEE Trans. Ind, Electron (2020)

Wei, Z., Zhao, J., Xiong, R., Dong, G., Pou, J., Tseng, K.J.: Online estimation of power capacity with noise effect attenuation for lithium-ion battery. IEEE Trans. Ind. Electron. 66, 5724–5735 (2019)

Wei, Z., Zhao, D., He, H., Cao, W., Dong, G.: A noise-tolerant model parameterization method for lithium-ion battery management system. Appl. Energy 268, 114932 (2020)

Liu, L., Feng, X., Zhang, M., et al.: Comparative study on substitute triggering approaches for internal short circuit in lithium-ion batteries. Appl. Energy 259, 114143 (2019)