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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

Parameter estimation of lithium-ion batteries and noise reduction using an H∞ filter

TL;DR: In this article, a lumped parameter model of lithium-ion battery is constructed and system parameters are identified by using the autoregressive moving average (ARMA) and a GA.
Proceedings ArticleDOI

Temperature-dependent performance of lithium ion batteries in electric vehicles

TL;DR: In this article, a series of tests including Electrochemical impedance spectroscopy test, dynamic driving schedule test and others are conducted under controlled temperatures and the temperature influence on the performance and characteristics of battery is discussed and analyzed.
Journal ArticleDOI

Bilateral Control of SeNZA—A Series Hybrid Electric Bicycle

TL;DR: The design of the control system is discussed along with several considerations on the choice of generator, motor, and tuning, and the controller is extensively experimentally analyzed in a human-in-the-loop setting, considering both the cycling feeling and the energy flows.
Journal ArticleDOI

Similarity recognition of online data curves based on dynamic spatial time warping for the estimation of lithium-ion battery capacity

TL;DR: This study describes an approach called dynamic spatial time warping, which is used to determine the similarities of two arbitrary curves, which can maintain the invariance of curve similarity to the rotations and translations of curves, vital in curve similarity search.
Journal ArticleDOI

Spatiotemporal modeling of internal states distribution for lithium-ion battery

TL;DR: In this paper, a space-time separation method is applied to model the electrochemical properties of the battery with the help of the extended Kalman filter, which can be efficiently optimized by using LASSO adaptation method.
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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