A novel online model parameters identification method with anti‐interference characteristics for lithium‐ion batteries-Reference-Cited by-同舟云学术

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A novel online model parameters identification method with anti‐interference characteristics for lithium‐ion batteries

Published:2021-02-05 Issue:6 Volume:45 Page:9502-9517
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Miao Heng¹^ORCID,Chen Jiajun²,Mao Ling¹^ORCID,Qu Keqing¹,Zhao Jinbin¹,Zhu Yongjie¹

Affiliation:

1. School of Electric Engineering Shanghai University of Electric Power Shanghai China

2. Department of Battery Development Pegasus Power Energy Co., Ltd. Hangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.6477

Reference36 articles.

1. History, Evolution, and Future Status of Energy Storage

2. Recent Progress in Advanced Materials for Lithium Ion Batteries

3. Hydrothermal synthesis of lithium iron phosphate

4. Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

5. Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs

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1. 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

2. 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

3. Open circuit voltage - state of charge curve calibration by redefining max–min bounds for lithium-ion batteries;Journal of Energy Storage;2024-02

4. High-precision State of Charge Estimation of Lithium-ion Batteries Based on Joint Compression Factor Particle Swarm Optimization-Forgetting Factor Recursive Least Square-Adaptive Extended Kalman Filtering;Journal of The Electrochemical Society;2023-06-01

5. Identification Method of Abnormal Characteristic Data of Power Equipment based on Improved K-Means Algorithm;2023 4th International Conference for Emerging Technology (INCET);2023-05-26

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