Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation
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TLDR
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.About:
This article is published in Journal of Power Sources.The article was published on 2004-08-12. It has received 1587 citations till now. The article focuses on the topics: Battery pack & State of charge.read more
Citations
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Journal ArticleDOI
An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries
TL;DR: The results show that the proposed CKF method has a better estimate robustness rather than Extended Kalman filter (EKF) and the fractional order model can achieve higher accuracy while it consumes more computing resources compared with equivalent circuit models.
Journal ArticleDOI
Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries Part I: Parameterization Model Development for Healthy Batteries
TL;DR: In this article, the authors proposed a new parameterization strategy and employing it in setting up optimizer constraints to estimate battery parameters, identifying the full set of the reduced-order electrochemical battery model parameters by using noninvasive genetic algorithm optimization on a fresh battery.
Journal ArticleDOI
Lithium-Sulfur Battery Technology Readiness and Applications—A Review
TL;DR: Li-S battery technology, its advantages and limitations from the fundamental perspective are firstly discussed in this article, and state-of-the-art Li-S cell modelling and state estimation techniques are reviewed with a focus on practical applications.
Journal ArticleDOI
Lithium-ion Open Circuit Voltage (OCV) curve modelling and its ageing adjustment
TL;DR: In this article, an adjustment algorithm based on the idea that for two fixed OCVs, the state of charge between these two equilibrium states is unique for a given aging level, is proposed.
Journal ArticleDOI
Combined state of charge estimator for electric vehicle battery pack
TL;DR: In this paper, the KalmanAh estimation method was used to correct the initial value used in the Ah counting method, which is not a satisfactory method for the estimation of the state of charge (SOC) of a battery.
References
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Book ChapterDOI
A New Approach to Linear Filtering and Prediction Problems
TL;DR: In this paper, the clssical filleting and prediclion problem is re-examined using the Bode-Shannon representation of random processes and the?stat-tran-sition? method of analysis of dynamic systems.
Book
Kalman Filtering and Neural Networks
TL;DR: This book takes a nontraditional nonlinear approach and reflects the fact that most practical applications are nonlinear.
Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification
TL;DR: 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.
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.