Accurate State of Charge Estimation With Model Mismatch for Li-Ion Batteries: A Joint Moving Horizon Estimation Approach-Reference-Cited by-同舟云学术

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Accurate State of Charge Estimation With Model Mismatch for Li-Ion Batteries: A Joint Moving Horizon Estimation Approach

Published:2019-05 Issue:5 Volume:34 Page:4329-4342
ISSN:0885-8993
Container-title:IEEE Transactions on Power Electronics
language:
Short-container-title:IEEE Trans. Power Electron.

Author:

Shen Jia-Ni^ORCID,Shen Jia-Jin,He Yi-Jun^ORCID,Ma Zi-Feng

Funder

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/63/8681212/08424881.pdf?arnumber=8424881

Cited by 59 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. Parameter adaptive joint estimation of state of charge and available capacity based on multi-innovation-state estimator fusion;Journal of Energy Storage;2024-04

2. State of Charge Estimation for Lithium‑Ion Batteries Based on Extended Kalman Particle Filter and Orthogonal Optimized Battery Model;Advanced Theory and Simulations;2024-02-13

3. Towards fast embedded moving horizon state-of-charge estimation for lithium-ion batteries;Journal of Energy Storage;2024-02

4. A novel positional encoded attention-based Long short-term memory network for state of charge estimation of lithium-ion battery;Journal of Power Sources;2024-01

5. State Estimation;Key Technologies on New Energy Vehicles;2024

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