SOC Estimation Methods for Lithium-Ion Batteries without Current Monitoring Article Swipe

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Zhaowei Zhang , Junya Shao , Junfu Li , Yaxuan Wang , Zhen‐Bo Wang ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.3390/batteries9090442

State of charge (SOC) estimation is an important part of a battery management system (BMS). As for small portable devices powered by lithium-ion batteries, no current sensor will be configured in BMS, which presents a challenge to traditional current-based SOC estimation algorithms. In this work, an electrochemical model is developed for lithium batteries, and three methods, including the incremental seeking method, dichotomous method, and extended Kalman filter algorithm (EKF), are separately developed to establish the framework of current and SOC estimation simultaneously. The results show that the EKF algorithm performs better than the other two methods in terms of estimation accuracy and convergence speed. In addition, the estimation error of the EKF algorithm is within ±2%, which demonstrates its feasibility.

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Electrical Engineering

Artificial Intelligence

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Extended Kalman filter State of charge Computer science Battery (electricity) Convergence (economics) Kalman filter Current (fluid) Estimation Lithium (medication) Control theory (sociology) Algorithm Power (physics) Engineering Electrical engineering Control (management) Artificial intelligence Economic growth Systems engineering Endocrinology Medicine Economics Physics Quantum mechanics

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/batteries9090442
PDF: https://www.mdpi.com/2313-0105/9/9/442/pdf?version=1693305511
OA Status: gold
Cited By: 8
References: 34
Related Works: 10
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DOI: https://doi.org/10.3390/batteries9090442

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Title: SOC Estimation Methods for Lithium-Ion Batteries without Current Monitoring

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Language: en

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Publication year: 2023

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Publication date: 2023-08-29

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Authors: Zhaowei Zhang, Junya Shao, Junfu Li, Yaxuan Wang, Zhen‐Bo Wang

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Landing page: https://doi.org/10.3390/batteries9090442

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Concepts: Extended Kalman filter, State of charge, Computer science, Battery (electricity), Convergence (economics), Kalman filter, Current (fluid), Estimation, Lithium (medication), Control theory (sociology), Algorithm, Power (physics), Engineering, Electrical engineering, Control (management), Artificial intelligence, Economic growth, Systems engineering, Endocrinology, Medicine, Economics, Physics, Quantum mechanics

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Cited by: 8

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Citations by year (recent): 2025: 3, 2024: 5

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