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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Proceedings ArticleDOI
State-of-charge estimation based on microcontroller-implemented sigma-point Kalman filter in a modular cell balancing system for Lithium-Ion battery packs
Fan Zhang,M. Muneeb Ur Rehman,Hongjie Wang,Yoash Levron,Gregory L. Plett,Regan Zane,Dragan Maksimovic +6 more
TL;DR: In this article, a low complexity sigma-point Kalman filter is proposed to estimate the state-of-charge (SOC) of battery cells, which can be easily implemented on a simple microcontroller around a dc-dc converter.
Proceedings ArticleDOI
SOC estimation of Lithium-ion battery using Kalman filter and Luenberger observer: A comparative study
TL;DR: In this article, a battery model based on equivalent electrical circuits has been used to describe the battery dynamics and the battery state of charge (SOC) has been estimated in real time by means of two methods: Luenberger observer and Kalman filter.
Journal ArticleDOI
Theory for impedance response of grain and grain boundary in solid state electrolyte
Neha Goswami,Rama Kant +1 more
TL;DR: In this paper, a generic phenomenological theory for the electrochemical impedance response of solid state electrolytes (SSEs) is developed, which describes dynamics of various physical processes in grain (g) and grain boundary (gb).
Journal ArticleDOI
Data pieces-based parameter identification for lithium-ion battery
TL;DR: In this article, a data pieces-based parameter identification (DPPI) method was proposed to identify comprehensive battery parameters including capacity, OCV (open circuit voltage)-Ah relationship and impedance-Ah relationship simultaneously only based on battery operation data.
Journal ArticleDOI
Continuous piecewise-linear, reduced-order electrochemical model for lithium-ion batteries in real-time applications
TL;DR: In this article, an isothermal, continuous, piecewise-linear, electrode-average model is developed by using an optimal knot placement technique to reduce the univariate nonlinear function of the electrode's open circuit potential dependence on the state of charge to continuous piecewise regions.
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.