Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation
Reads0
Chats0
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
More filters
Journal ArticleDOI
Dual fuzzy-based adaptive extended Kalman filter for state of charge estimation of liquid metal battery
TL;DR: In this article , a dual fuzzy-based adaptive extended Kalman filter (DFAEKF) method is proposed for the state of charge (SOC) estimation of liquid metal batteries.
Proceedings ArticleDOI
Battery state-of-charge estimation prototype using EMF voltage prediction
TL;DR: A predictive methodology is presented which is able to forecast the EMF and therewith the SoC already during a not well-relaxed state of the voltage transient and it is shown that the presented approach offers an improved re-initialization methodology for the Coulomb counting method, and that it clearly outperforms the usual EMF-measurement based SoC determination method.
Journal ArticleDOI
System theoretic analysis of battery charging optimization
TL;DR: In this article, the authors analytically determine optimal battery charging sequences for two cases: minimizing energy losses and maximizing charge supplied to the battery while respecting lithium plating constraints, assuming relevant battery physics have linear, time-invariant dynamic behavior.
Advanced models and algorithms to provide multiple grid services with battery storage systems
TL;DR: This thesis proposes a control framework to operate a utility-scale BESS connected to a distribution feeder and proposes the formulation of a framework for the simultaneous deployment of multiple services to maximise the BESS exploitation in the presence of uncertainty.
Journal ArticleDOI
Kalman filter for adaptive learning of look-up tables with application to automotive battery resistance estimation
TL;DR: In this paper, a method is presented where a Kalman filter is used to update the entire look-up table based on local estimation at the current operating conditions, based on the idea that the parameter changes observed as a component ages are caused by physical phenomena having effect over a larger part of the operating range that may have been excited.
References
More filters
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.