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Journal ArticleDOI

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation

Gregory L. Plett
- 12 Aug 2004 - 
- Vol. 134, Iss: 2, pp 277-292
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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.

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Citations
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Journal ArticleDOI

Development of multiple plug-in electric vehicle mobile charging station using bidirectional converter

TL;DR: In this article, an electric vehicle (EV) charging station powered by the scattered energy sources with DC Nanogrid (NG) provides an option for uninterrupted charging for uninterrupted EV charging.
Journal ArticleDOI

State of Charge Estimation in Li-ion Batteries Using an Isothermal Pseudo Two-Dimensional Model

TL;DR: For the first time, an algorithm for state-of-charge estimation using the original pseudo two-dimensional model is provided, reformulated into a state-space model by separating linear, nonlinear, and algebraic states.
Journal ArticleDOI

Reliable Online Parameter Identification of Li-Ion Batteries in Battery Management Systems Using the Condition Number of the Error Covariance Matrix

TL;DR: It is shown with a1-RC equivalent circuit model that the proposed CNRLS algorithm is more noise-tolerant and accurate than two benchmarks including the standard RLS and adaptive forgetting factor RLS (AFFRLS) in terms of mean absolute errors, with almost the same computing cost.
Journal ArticleDOI

A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation

TL;DR: In this article, an adaptive and robust square root cubature Kalman filter based on variational Bayesian approximation and Huber's M-estimation (VB-HASRCKF) is proposed.
Proceedings ArticleDOI

Using a Linear Quadratic Regulator to Attenuate Cell-to-Cell Heterogeneity within a Lithium-Ion Battery Pack

TL;DR: A balancing algorithm capable of attenuating charge, temperature, and other types of heterogeneity between cells within a lithium-ion battery pack is developed and validated through simulation using a realistic electro-thermal model with heterogeneity in charge,Temperature and other electrochemical states.
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

Simon Haykin
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.
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