An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries-Reference-Cited by-同舟云学术

An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries

Published:2023-05 Issue: Volume:450 Page:142270
ISSN:0013-4686
Container-title:Electrochimica Acta
language:en
Short-container-title:Electrochimica Acta

Author:

Long Tao^ORCID,Wang Shunli^ORCID,Cao Wen,Zhou Heng,Fernandez Carlos

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering

Reference45 articles.

1. Globalization, green economy and environmental challenges: state of the art review for practical implications;Zhang;Front. Environ. Sci.,2022

2. Eco-innovation impacts on recycled product performance and competitiveness: malaysian automotive industry;Fernando;Sustain. Prod. Consum.,2021

3. Charging behavior analysis of new energy vehicles;Tan;Sustainability,2021

4. Hybrid Battery Management System Design For Electric Aircraft;Tarhan;Energy,2021

5. A method for measuring and evaluating the fault response performance of battery management system;Xie;Energy Rep.,2022

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Event-triggered lifted robust MPC stabilization control for space telescope on dual-rate actuated rigid spacecraft systems;Aerospace Science and Technology;2024-12

2. An improved limited memory-Sage Husa-cubature Kalman filtering algorithm for the state of charge and state of energy co-estimation of lithium-ion batteries based on hysteresis effect-dual polarization model;Energy;2024-10

3. A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges;Journal of Energy Chemistry;2024-10

4. Improved adaptive feedback particle swarm optimization-multi-innovation singular decomposition unscented Kalman filtering for high accurate state of charge estimation of lithium-ion batteries in energy storage systems;Ionics;2024-07-10

5. High-precision state of charge estimation of electric vehicle lithium-ion battery energy storage system based on multi-scale optimized time-varying bounded smoothing variable structure filtering algorithm;Ionics;2024-07-04