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
Physics-based prognostics of lithium-ion battery using non-linear least squares with dynamic bounds
TL;DR: A physics-based (or mechanistic) approach to Li-ion battery prognostics is presented, which enables online prediction of remaining useful life (RUL) with consideration of multiple concurrent degradation mechanisms.
Proceedings ArticleDOI
State estimation of a reduced electrochemical model of a lithium-ion battery
Reinhardt Klein,Nalin Chaturvedi,Jake Christensen,Jasim Ahmed,Rolf Findeisen,Aleksandar Kojic +5 more
TL;DR: In this paper, a state estimation strategy for a detailed electrochemical model of a lithium-ion battery is presented, which can be used for monitoring purposes, or incorporated into a model-based controller to improve the performance of the battery while guaranteeing safe operation.
Journal ArticleDOI
Temperature and state-of-charge estimation in ultracapacitors based on extended Kalman filter
TL;DR: In this paper, an extended Kalman filter (EKF) algorithm with only the terminal measurement of voltage and current is used to estimate state-of-charge (SOC) and temperature.
Journal ArticleDOI
Lithium Ion Batteries—Development of Advanced Electrical Equivalent Circuit Models for Nickel Manganese Cobalt Lithium-Ion
Alexandros Nikolian,Yousef Firouz,Rahul Gopalakrishnan,Jean-Marc Timmermans,Noshin Omar,Peter Van Den Bossche,Joeri Van Mierlo +6 more
TL;DR: In this article, an advanced equivalent circuit models (ECMs) were developed to model large format and high energy nickel manganese cobalt (NMC) lithium-ion 20 Ah battery cells.
Journal ArticleDOI
An online SOC and capacity estimation method for aged lithium-ion battery pack considering cell inconsistency
TL;DR: The multi-time scale extended Kalman filter algorithm is proposed based on “S&D” model and the results show that the SOC estimation error of each cell in the battery pack is within 5% in the whole testing period and it is within 3% when the later capacity estimation process keeps stable.
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.