Journal ArticleDOI
The novel state of charge estimation method for lithium battery using sliding mode observer
TLDR
In this article, a simple resistor-capacitor battery model was used in order to reduce calculation time and system resource and the structure of the proposed system is simple, but it shows robust control property against modeling errors and uncertainties.About:
This article is published in Journal of Power Sources.The article was published on 2006-12-07. It has received 331 citations till now. The article focuses on the topics: State observer & Observer (quantum physics).read more
Citations
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A review on the key issues for lithium-ion battery management in electric vehicles
TL;DR: In this article, a brief introduction to the composition of the battery management system (BMS) and its key issues such as battery cell voltage measurement, battery states estimation, battery uniformity and equalization, battery fault diagnosis and so on, is given.
Journal ArticleDOI
A comparative study of equivalent circuit models for Li-ion batteries
TL;DR: In this paper, a comparative study of twelve equivalent circuit models for Li-ion batteries is presented, which are selected from state-of-the-art lumped models reported in the literature.
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A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
TL;DR: In this article, a comprehensive review of the battery state of charge estimation and its management system for the sustainable future electric vehicles (EVs) applications is presented, which can guarantee a reliable and safe operation and assess the battery SOC.
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Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
TL;DR: In this paper, the methods for monitoring the battery state of charge, capacity, impedance parameters, available power, state of health, and remaining useful life are reviewed with the focus on elaboration of their strengths and weaknesses for the use in on-line BMS applications.
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Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
TL;DR: The review presents the key feedback factors that are indispensable for accurate estimation of battery SoC, and presents the possible recommendations for the development of next generation of smart SoC estimation and battery management systems for electric vehicles and battery energy storage system.
References
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Journal ArticleDOI
Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell
TL;DR: In this article, the galvanostatic charge and discharge of a lithium anode/solid polymer separator/insertion cathode cell is modeled using concentrated solution theory, which is general enough to include a wide range of polymeric separator materials, lithium salts, and composite insertion cathodes.
Book
Sliding Modes and their Application in Variable Structure Systems
TL;DR: An electric dynamically operated storage element comprises two energy stores and circuitry is provided for applying periodically repeating phase clock pulses simultaneously to the energy stores through the charging circuits.
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.
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Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles
TL;DR: Approaches based on the well-known Kalman Filter and ExtendedKalman Filter are presented, using a generic cell model, to provide correction for offset, drift, and long-term state divergence-an unfortunate feature of more traditional coulomb-counting techniques.
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.