State of Charge Estimation of Li-Ion Batteries Using Random Forest Regression Model with Modified Parameters for Multiple Cycles
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7383-5_4
Reference20 articles.
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4. Zheng D, Wang H, An J, Chen J, Pan H, Chen L (2018) Real-time estimation of battery state of charge with metabolic grey model and LabVIEW platform. IEEE Access 6:13170–13180. https://doi.org/10.1109/ACCESS.2018.2807805
5. Li Y, Zou C, Berecibar M, Nanini-Maury E, Chan JC-W, van den Bossche P, Van Mierlo J, Omar N (2018) Random forest regression for online capacity estimation of lithium-ion batteries. Appl Energy 232:197–210
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