Journal ArticleDOI
State of charge estimation of lithium-ion batteries using optimized Levenberg-Marquardt wavelet neural network
Bizhong Xia,Deyu Cui,Zhen Sun,Zizhou Lao,Ruifeng Zhang,Wei Wang,Wei Sun,Yongzhi Lai,Mingwang Wang +8 more
TLDR
The robustness evaluation, which is based on untrained driving cycles test, measurement noise test and piecewise training and batteries test, indicates the good performance on estimation accuracy, applicability and robustness of the proposed methods.About:
This article is published in Energy.The article was published on 2018-06-15. It has received 117 citations till now. The article focuses on the topics: Extended Kalman filter & Robustness (computer science).read more
Citations
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Journal ArticleDOI
A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
TL;DR: In this article, a systematic review of the most commonly used battery modeling and state estimation approaches for BMSs is presented, including the physics-based electrochemical models, the integral and fractional order equivalent circuit models, and data-driven models.
Journal ArticleDOI
State of Charge Estimation for Lithium-Ion Batteries Using Model-Based and Data-Driven Methods: A Review
TL;DR: This review presents the recent SOC estimation methods highlighting the model-based and data-driven approaches and delivers potential recommendations for the development of SOC estimation method of lithium-ion battery in EV applications.
Journal ArticleDOI
State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles
TL;DR: In this paper, Li et al. focused on battery state estimation and its issues and challenges by exploring different existing estimation methodologies, such as adaptive filter algorithm, learning algorithm, nonlinear observer, and hybrid method.
Journal ArticleDOI
Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook
M. S. Hossain Lipu,Mahammad A. Hannan,Tahia Fahrin Karim,Aini Hussain,Mohamad Hanif Md Saad,Afida Ayob,Md. Sazal Miah,T. M. Indra Mahlia +7 more
TL;DR: A comprehensive review of different intelligent approaches and control schemes of the battery management system in electric vehicle applications concerning their features, structure, configuration, accuracy, advantages, and disadvantages is delivered.
Journal ArticleDOI
Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends
M. S. Hossain Lipu,Mahammad A. Hannan,Aini Hussain,Afida Ayob,Mohamad Hanif Md Saad,Tahia Fahrin Karim,Dickson Neoh Tze How +6 more
TL;DR: This review critically investigates the various key implementation factors of the data-driven algorithms in terms of data preprocessing, hyperparameter adjustment, activation function, evaluation criteria, computational cost and robustness validation under uncertainties.
References
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Journal ArticleDOI
Training feedforward networks with the Marquardt algorithm
TL;DR: The Marquardt algorithm for nonlinear least squares is presented and is incorporated into the backpropagation algorithm for training feedforward neural networks and is found to be much more efficient than either of the other techniques when the network contains no more than a few hundred weights.
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Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
TL;DR: In this paper, a smart estimation method based on coulomb counting is proposed to improve the estimation accuracy for state-of-charge (SOC) estimation of lithium-ion batteries with high charging and discharging efficiencies.
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State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge
TL;DR: In this article, a modified OCV-SoC relationship based on the conventional OCV/SoC was proposed to avoid the defects of the extended Kalman filter (EKF) by preventing the relationship from varying.
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Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations
TL;DR: Results indicate that the CD-CKF markedly outperforms existing continuous-discrete filters in the context of radar in two respects- high dimensionality of the state and increasing degree of nonlinearity.
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Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling
TL;DR: In this paper, two different equivalent circuit (EC) models are built up and parameterized for a commercial 6.5 Ah high-power lithium-ion cell and measured impedance spectroscopy data depending on temperature and state of charge (SOC) are used for parameter estimation.