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Journal ArticleDOI

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification

Gregory L. Plett
- 12 Aug 2004 - 
- Vol. 134, Iss: 2, pp 262-276
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TLDR
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.
About
This article is published in Journal of Power Sources.The article was published on 2004-08-12. It has received 1636 citations till now. The article focuses on the topics: Battery pack & State of charge.

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Citations
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Proceedings ArticleDOI

Comparison of state and parameter estimators for electric vehicle batteries

TL;DR: This paper compares the performance of two battery state and parameter estimation techniques, i.e., the Extended Kalman Filter and the classic Least Squares method in combination with the Mix algorithm.
Journal ArticleDOI

State of Charge Estimation for Li-Ion Batteries Based on an Unscented H-Infinity Filter

TL;DR: Experimental results show that the proposed UHF based algorithm can perform accurate SOC estimation for lithium-ion batteries, and is superior to the UKF based SOC estimation.
Proceedings ArticleDOI

A PSO algorithm for transient dynamic modeling of lithium cells through a nonlinear RC filter

TL;DR: A novel technique for modeling the transient behavior of the cell is proposed based on a single nonlinear dipole composed of a standard linear resistor and a nonlinear voltage driven capacitor connected in parallel.
Journal ArticleDOI

Fault Identification and Quantitative Diagnosis Method for Series-Connected Lithium-Ion Battery Packs Based on Capacity Estimation

TL;DR: In this article , a fault identification method based on capacity estimation is proposed to distinguish micro-short circuit (MSC) and low-capacity cells in a battery pack, and quantitatively estimate the capacity of the low capacity cell and the MSC cell.
References
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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

TL;DR: 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.
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.
Journal ArticleDOI

Methods for state-of-charge determination and their applications

TL;DR: In this article, the authors introduce commonly used methods for state-of-charge (SOC) determination and establish a relationship between the advantages of different methods and the most common applications.
Journal ArticleDOI

Thermal‐Electrochemical Modeling of Battery Systems

TL;DR: In this paper, the authors developed a thermal and electrochemical coupled model capable of predicting the spatial distribution and temporal evolution of temperature inside a battery, which can provide valuable internal information to help optimize the battery system in a cost effective manner.
Journal ArticleDOI

A review of state-of-charge indication of batteries by means of a.c. impedance measurements

TL;DR: In this article, a review consolidates the literature on the prediction of the state-of-charge (SoC) of batteries by means of a.c. impedance measurements.
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