Joint estimation of the state-of-energy and state-of-charge of lithium-ion batteries under a wide temperature range based on the fusion modeling and online parameter prediction-Reference-Cited by-同舟云学术

Joint estimation of the state-of-energy and state-of-charge of lithium-ion batteries under a wide temperature range based on the fusion modeling and online parameter prediction

Published:2022-08 Issue: Volume:52 Page:105010
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Xia Lili,Wang Shunli,Yu Chunmei,Fan Yongcun,Li Bowen,Xie YanXin

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference46 articles.

1. A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems;Wang;Renew. Sustain. Energ. Rev.,2020

2. A noise-tolerant model parameterization method for lithium-ion battery management system;Wei;Appl. Energy,2020

3. An improved state of charge and state of power estimation method based on genetic particle filter for Lithium-ion batteries;Liu;Energies,2020

4. State estimation for advanced battery management: key challenges and future trends;Hu;Renew. Sustain. Energ. Rev.,2019

5. A new approach to consider the influence of aging state on Lithium-ion battery state of power estimation for hybrid electric vehicle;Esfandyari;Energy,2019

Cited by 29 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. A novel temporal-frequency dual attention mechanism network for state of charge estimation of lithium-ion battery;Journal of Power Sources;2024-12

2. Multi-output fusion SOC and SOE estimation algorithm based on deep network migration;Energy;2024-11

3. A novel joint estimation for core temperature and state of charge of lithium-ion battery based on classification approach and convolutional neural network;Energy;2024-11

4. Comparative analysis of data-driven electric vehicle battery health models across different operating conditions;Energy;2024-11

5. A deep learning model for predicting the state of energy in lithium-ion batteries based on magnetic field effects;Energy;2024-09