State-of-charge estimation based on theory of evidence and interval analysis with differential evolution optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-019-03390-0.pdf
Reference25 articles.
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2. Charkhgard, M., & Farrokhi, M. (2010). State-of-charge estimation for lithium-ion batteries using neural networks and ekf. IEEE Transactions on Industrial Electronics, 57(12), 4178–4187.
3. Chemali, E., Kollmeyer, P. J., Preindl, M., Ahmed, R., & Emadi, A. (2017). Long short-term memory networks for accurate state-of-charge estimation of li-ion batteries. IEEE Transactions on Industrial Electronics, 65(8), 6730–6739.
4. Dempster, A. P. (1967). Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, 38(2), 325–399.
5. Denœux, T., & Masson, M.-H. (2012). Evidential reasoning in large partially ordered sets. Annals of Operations Research, 195(1), 135–161.
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