Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation
Reads0
Chats0
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.read more
Citations
More filters
Journal ArticleDOI
An Improved Model-Based Self-Adaptive Filter for Online State-of-Charge Estimation of Li-Ion Batteries
TL;DR: In this article, a modified one-state hysteresis equivalent circuit model was proposed for battery modeling, and a strong tracking filter was applied for state-of-charge (SOC) estimation.
Proceedings ArticleDOI
Battery State of Health Monitoring by Side Reaction Current Density Estimation via Retrospective-Cost Subsystem Identification
TL;DR: In this paper, the side reaction current density is used as the indicator of battery state of health (SoH) and an estimation algorithm is required due to the unavailability of the SRC current density via noninvasive methods.
Dissertation
Electrochemical Li-Ion battery modeling for electric vehicles
TL;DR: The electrode isotherms shapes have a significant influence on the accuracy of the evaluation of the states of charges in a complete cell, and one of the most common model describing the porous electrodes of lithium-ion batteries is revisited.
Proceedings ArticleDOI
Joint UKF estimator for fault detection and isolation in Heating Ventilation and Air Conditioning systems
TL;DR: In this article, the authors proposed an alternative to Extended Kalman Filter Estimator (EKFE) to solve simultaneously the state and parameter estimation problems, suitable integrated in their proposed Fault Detection and Diagnosis (FDDI) strategy.
Proceedings ArticleDOI
State-of-charge (SOC) estimation based on reduced order of electrochemical model for a pouch type high power Li-polymer battery
TL;DR: In this paper, a new model for a Li-polymer battery was developed based on a 1D electrochemical microcell model, capable of representing terminal behavior along with internal physical variables that include temperature, potentials, and ion flows.
References
More filters
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.