Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation
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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
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Journal ArticleDOI
Application of Artificial Intelligence to State-of-Charge and State-of-Health Estimation of Calendar-Aged Lithium-Ion Pouch Cells
TL;DR: In this article, a feed-forward artificial neural network (ANN) has been used to estimate SOC of calendar-aged lithium-ion pouch cells, which achieved a Root Mean Square Error (RMSE) of 1.17% over discharge data and 1.81% over charge data, confirming the ability of ANN to capture input-output dependency.
Journal ArticleDOI
Evaluating Real-Life Performance of Lithium-Ion Battery Packs in Electric Vehicles
TL;DR: In this paper, the battery pack performance under electric vehicle (EV) operating conditions is investigated, and the authors consider the increasing market launch of plug-in hybrid electric vehicles (PHEVs).
Journal ArticleDOI
Data-driven state of health modelling—A review of state of the art and reflections on applications for maritime battery systems
TL;DR: A comprehensive review of different data-driven approaches to state of health modelling for maritime battery systems based on operational sensor data collected from the batteries is presented, giving an overview of current state of the art.
Journal ArticleDOI
Practical On-Board Measurement of Lithium Ion Battery Impedance Based on Distributed Voltage and Current Sampling
TL;DR: In this paper, a distributed signal sampling method was proposed and implemented to provide impedance for a battery management system (BMS), where the battery cell perturbing current and its response voltage for impedance calculation were sampled separately to be compatible with BMS.
Journal ArticleDOI
Online Detection of Soft Internal Short Circuit in Lithium-Ion Batteries at Various Standard Charging Ranges
TL;DR: This study proposes a novel and accurate model-based algorithm to detect soft ISCr online irrespective of the specific type of load currents and indicates that the battery management system is enabled to accurately detect an ISCr early.
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
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.