Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification
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In this article, an extended Kalman filter (EKF) was used to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid electric vehicle battery pack.About:
This article is published in Journal of Power Sources.The article was published on 2004-08-12. It has received 1636 citations till now. The article focuses on the topics: Battery pack & State of charge.read more
Citations
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State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network
TL;DR: A recurrent neural network with gated recurrent unit is proposed to estimate the battery SOC from measured current, voltage, and temperature signals, which exploits information of the previous SOCs and measurements and yields better estimation accuracy.
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A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model
TL;DR: Based on the analysis of the impedance spectra obtained by electrochemical impedance spectroscopy (EIS), a simplified battery impedance model is derived with the constant phase element (CPE), and a fractional order calculus (FOC) method is introduced to model the CPE in the impedance model as discussed by the authors.
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High-performance battery-pack power estimation using a dynamic cell model
TL;DR: This paper describes a method that uses a dynamic cell model and state-of-charge side information to very accurately predict the battery-pack available power.
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Stable Configuration of a Li-Ion Series Battery Pack Based on a Screening Process for Improved Voltage/SOC Balancing
TL;DR: Li et al. as mentioned in this paper proposed a new approach based on a screening process for improved voltage/SOC balancing of a Li-ion series battery pack, where two kinds of screening processes, capacity screening and resistance screening, are implemented in an orderly manner.
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Battery State Estimation for a Single Particle Model With Electrolyte Dynamics
Scott J. Moura,Federico Bribiesca Argomedo,Reinhardt Klein,Anahita Mirtabatabaei,Miroslav Krstic +4 more
TL;DR: A single particle model (SPM) with electrolyte that achieves higher predictive accuracy than the SPM and an estimation scheme that exploits the dynamical properties, such as marginal stability, local invertibility, and conservation of lithium.
References
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Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation
TL;DR: In this article, extended Kalman filtering (EKF) is used to estimate battery state-of-charge, power fade, capacity fade, and instantaneous available power for hybrid-electric-vehicle battery packs.
Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 1. Background
TL;DR: In this paper, an extended Kalman filter (EKF) was proposed to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid-electric-vehicle battery pack.
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Methods for state-of-charge determination and their applications
TL;DR: In this article, the authors introduce commonly used methods for state-of-charge (SOC) determination and establish a relationship between the advantages of different methods and the most common applications.
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Thermal‐Electrochemical Modeling of Battery Systems
W. B. Gu,Chao Yang Wang +1 more
TL;DR: In this paper, the authors developed a thermal and electrochemical coupled model capable of predicting the spatial distribution and temporal evolution of temperature inside a battery, which can provide valuable internal information to help optimize the battery system in a cost effective manner.
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A review of state-of-charge indication of batteries by means of a.c. impedance measurements
TL;DR: In this article, a review consolidates the literature on the prediction of the state-of-charge (SoC) of batteries by means of a.c. impedance measurements.