A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter-Reference-Cited by-同舟云学术

A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter

Published:2021-03 Issue: Volume:219 Page:119603
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Jiang Cong,Wang Shunli,Wu Bin,Fernandez Carlos,Xiong Xin,Coffie-Ken James

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference45 articles.

1. Recent progress in the synthesis of graphene and derived materials for next generation electrodes of high performance lithium ion batteries;Kumar;Prog Energy Combust Sci,2019

2. A review on synthesis of graphene, h-BN and MoS2 for energy storage applications: recent progress and perspectives;Kumar;Nano Res,2019

3. Technical and economical assessment of distributed electrochemical storages for load shifting applications: an Italian case study;Graditi;Renew Sustain Energy Rev,2016

4. Electrochemical impedance study of commercial LiNi0.80Co0.15Al0.05O2 electrodes as a function of state of charge and aging;Zhu;Electrochim Acta,2018

5. Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles;Zheng;J Power Sources,2018

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