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
Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter
TL;DR: In this article, a Support Vector Regression-Particle Filter (SVR-PF) was proposed for battery state-of-health (SOH) monitoring and the remaining useful life (RUL) prediction.
Journal ArticleDOI
Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries
TL;DR: The verification and comparison results demonstrate that the proposed DCNN-ETL method can produce a higher accuracy and robustness than these other data-driven methods in estimating the capacities of the Li-ion cells in the target task.
Journal ArticleDOI
Electrochemical and Electrostatic Energy Storage and Management Systems for Electric Drive Vehicles: State-of-the-Art Review and Future Trends
TL;DR: In this article, the current state of readily available battery and ultracapacitor (UC) technologies as well as a look ahead toward promising advanced battery chemistries and next generation ESS are discussed.
Journal ArticleDOI
A comparative study of state of charge estimation algorithms for LiFePO4 batteries used in electric vehicles
TL;DR: In this article, three model-based state observer designs including Luenberger observer, Extended Kalman Filter (EKF), and Sigma Point Kalman filter (SPKF) are carried out and studied.
Journal ArticleDOI
Adaptive Partial Differential Equation Observer for Battery State-of-Charge/State-of-Health Estimation Via an Electrochemical Model
TL;DR: In this article, an adaptive partial differential equation (PDE) observer for battery state of charge (SOC) and state of health (SOH) estimation is developed, which enables operation near physical limits without compromising durability, thereby unlocking the full potential of battery energy storage.
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.