Research on the state of charge estimation method of lithium‐ion batteries based on novel limited memory multi‐innovation least squares method and SDE‐2‐RC equivalent model-Reference-Cited by-同舟云学术

Research on the state of charge estimation method of lithium‐ion batteries based on novel limited memory multi‐innovation least squares method and SDE‐2‐RC equivalent model

Published:2022-11-11 Issue:4 Volume:51 Page:1902-1917
ISSN:0098-9886
Container-title:International Journal of Circuit Theory and Applications
language:en
Short-container-title:Circuit Theory & Apps

Author:

Cao Jie¹^ORCID,Wang Shunli¹²^ORCID,Xie Yanxin¹,Fernandez Carlos³

Affiliation:

1. School of Information Engineering Southwest University of Science and Technology Mianyang 621010 China

2. College of Electrical Engineering Sichuan University Chengdu 610065 China

3. School of Pharmacy and Life Sciences Robert Gordon University Aberdeen UK

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cta.3500

Reference39 articles.

1. On the sustainability of lithium ion battery industry – A review and perspective

2. Challenges and Strategies for High‐Energy Aqueous Electrolyte Rechargeable Batteries

3. End-of-Use Management of Spent Lithium-Ion Batteries From Sustainability Perspective: A Review

4. The Regulating Role of Carbon Nanotubes and Graphene in Lithium-Ion and Lithium-Sulfur Batteries

5. A Combined State of Charge Estimation Method for Lithium‐Ion Batteries Using Cubature Kalman Filter and Least Square with Gradient Correction

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1. A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems;Ionics;2024-07-12

2. An improved long short‐term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium‐ion batteries;International Journal of Circuit Theory and Applications;2023-04-19