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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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
Electrochemical model of a lithium-ion battery implemented into an automotive battery management system
Woo Suk Sung,Chee Burm Shin +1 more
TL;DR: The development of an electrochemical model that can be implemented into automotive battery management systems (BMSs) is presented, predicting battery behaviors in 1 s intervals while occupying a 14 kB RAM.
Journal ArticleDOI
Lithium-ion battery state of charge estimation with model parameters adaptation using H∞ extended Kalman filter
TL;DR: An H ∞ extended Kalman filter is proposed based on robust control theory to estimate the SOC, Ohmic and polarization resistances simultaneously simultaneously and shows that the proposed method can achieve good performance for real life conditions in a battery pack of electric vehicles.
Journal ArticleDOI
State-of-charge and state-of-health estimation with state constraints and current sensor bias correction for electrified powertrain vehicle batteries
TL;DR: In this article, the authors proposed to enhance battery state estimation using Kalman filter (KF) and extended KF to handle cell variations, aging, and online deviation of parameters.
Patent
System, method, and article of manufacture for determining an estimated battery state vector
TL;DR: In this paper, a system, a method, and an article of manufacture for determining an estimated battery state vector indicative of a state of a battery is presented, based on a plurality of predicted battery state vectors, a plurality predicted battery output vectors, and a first battery output vector.
Journal ArticleDOI
Battery cycle life balancing in a microgrid through flexible distribution of energy and storage resources
TL;DR: In this article, a microgrid consisting of four fuel cell-battery hybrid Distributed Energy Resources (DERs) is devised for an industrial crusher-conveyor load.
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.