Journal ArticleDOI
State of charge estimation for electric vehicle batteries using unscented kalman filtering
TLDR
A model to simulate battery terminal voltage as a function of state of charge under dynamic loading conditions is developed, tailored on-line in order to estimate uncertainty arising from unit-to-unit variations and loading condition changes.About:
This article is published in Microelectronics Reliability.The article was published on 2013-06-01. It has received 295 citations till now. The article focuses on the topics: State of charge & Electric vehicle.read more
Citations
More filters
Proceedings ArticleDOI
Real time feasibility and performance of moving horizon estimation for Li-ion batteries based on first principles electrochemical models
TL;DR: A real-time iteration based moving horizon estimation scheme utilizing a first principles model which exploits projected solution onto a reduced Hilbert space is used, which allows to estimate lithium ions concentration and potential profiles in electrolyte and solid as well as temperature.
Journal ArticleDOI
Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions
Mehrnia Seyed Reza,M. A. Hannan,Pin Jern Ker,Muhd Ariffin Mansor,Molla Shahadat Hossain Lipu,M. J. Hossain,T. M. Indra Mahlia +6 more
TL;DR: In this paper , the authors provide a comprehensive analysis of the several parameters of uncertainty, approaches for dealing with the uncertainty in battery energy storage (BES)-based RES integrated grid, and the advantages and disadvantages of each method.
Proceedings ArticleDOI
Power Control Modelling for Future Energy Management Based on Photovoltaic Integrated System with Lithium-Ion Storage Batteries
TL;DR: In this article, the numerical model that computes an optimized capacity of energy consumption based on weekly forecast has been performed in order to provide the stable energy that is insulated from the instability of weather change.
Proceedings ArticleDOI
State-of-charge estimation for lithium-ion battery using Busse's adaptive unscented Kalman filter
TL;DR: In this paper, a state-of-charge estimation method for lithium-ion battery using adaptive unscented Kalman filter is presented. But the adaptive rule is implemented to update the process noise covariance.
Journal ArticleDOI
Peukert Generalized Equations Applicability with Due Consideration of Internal Resistance of Automotive-Grade Lithium-Ion Batteries for Their Capacity Evaluation
TL;DR: In this article , the applicability of the generalized Peukert equation and its generalizations for capacity evaluation of automotive-grade lithium-ion batteries was investigated, and it was shown that all the parameters of the generalized PEK have a clear electrochemical meaning in contrast to the classical PEK, where all parameters are just empirical constants.
References
More filters
Proceedings ArticleDOI
The unscented Kalman filter for nonlinear estimation
Eric A. Wan,R. van der Merwe +1 more
TL;DR: The unscented Kalman filter (UKF) as discussed by the authors was proposed by Julier and Uhlman (1997) for nonlinear control problems, including nonlinear system identification, training of neural networks, and dual estimation.
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 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
Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
TL;DR: In this paper, a smart estimation method based on coulomb counting is proposed to improve the estimation accuracy for state-of-charge (SOC) estimation of lithium-ion batteries with high charging and discharging efficiencies.
Journal ArticleDOI
State-of-Charge Estimation of the Lithium-Ion Battery Using an Adaptive Extended Kalman Filter Based on an Improved Thevenin Model
TL;DR: An adaptive Kalman filter algorithm that can greatly improve the dependence of the traditional filter algorithm on the battery model is employed and is evaluated by experiments with federal urban driving schedules, showing that the proposed SOC estimation using AEKF is more accurate and reliable than that using EKF.