A method for state of charge and state of health estimation of lithium-ion battery based on adaptive unscented Kalman filter-Reference-Cited by-同舟云学术

A method for state of charge and state of health estimation of lithium-ion battery based on adaptive unscented Kalman filter

Published:2022-11 Issue: Volume:8 Page:426-436
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Liu Shulin,Dong Xia,Yu Xiaodong,Ren Xiaoqing,Zhang Jinfeng,Zhu Rui

Funder

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

General Energy

Reference25 articles.

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3. Multi-timescale power and energy assessment of lithium-ion battery and supercapacitor hybrid system using extended Kalman filter;Wang;J Power Sources,2018

4. M. Fasahat, M. Manthouri, State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks - ScienceDirect, J Power Sources 469.

5. A new state of charge estimation method for lithium-ion battery based on the fractional order model;Liu;IEEE Access,2019

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