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Springer International Publishing
Reference28 articles.
1. Attanayaka, A., Karunadasa, J.P., Hemapala, K.: Estimation of state of charge for lithium-ion batteries - a review. AIMS Energy 7(2), 186–210 (2019)
2. Bian, C., Yang, S., Liu, J., Zio, E.: Robust state-of-charge estimation of li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks. Appl. Soft Comput. 108401 (2022)
3. Chang, W.-Y.: The state of charge estimating methods for battery: a review. Int. Scholar. Res. Not. 2013 (2013)
4. Drucker, H., Burges, C.J.C., Kaufman, L., Smola, A., Vapnik, V., et al.: Support vector regression machines. In: Advances in Neural Information Processing Systems, vol. 9, pp. 155–161 (1997)
5. He, H., Xiong, R., Fan, J.: Evaluation of lithium-ion battery equivalent circuit models for state of charge estimation by an experimental approach. Energies 4(4), 582–598 (2011)
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