Journal ArticleDOI
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification
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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.About:
This article is published in Journal of Power Sources.The article was published on 2004-08-12. It has received 1636 citations till now. The article focuses on the topics: Battery pack & State of charge.read more
Citations
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Journal ArticleDOI
LiFePO4 battery state of charge estimation based on the improved Thevenin equivalent circuit model and Kalman filtering
Zhu Xu,Shibin Gao,Shunfeng Yang +2 more
TL;DR: In this article, an improved Thevenin equivalent circuit model is established according to the characteristics of the LiFePO4 battery, and the model parameters are identified by experimental testing, which combines the open-circuit voltage method, ampere-hour integration, and Kalman filtering.
Journal ArticleDOI
Determination of the lead-acid battery's dynamic response using Butler-Volmer equation for advanced battery management systems in automotive applications
Grzegorz Pilatowicz,Heide Budde-Meiwes,Julia Kowal,Christel Sarfert,Eberhard Schoch,Martin Königsmann,Dirk Uwe Sauer +6 more
TL;DR: In this article, an electrical model based on Butler-Volmer equation is presented to predict accurately dynamic response of a battery considering a wide range of discharge current rates, state-of-charges and temperatures.
Journal ArticleDOI
Gaussian process regression-based modelling of lithium-ion battery temperature-dependent open-circuit-voltage
Chao Huang,Long Wang +1 more
TL;DR: A novel model based on Gaussian process regression is proposed to describe the sophisticated relationship among the OCV, SOC, and temperature and can provide the most accurate prediction of OCV compared with benchmarking models.
Proceedings ArticleDOI
Battery state estimation for applications in intelligent warehouses
M. M. Oliveira,Jorge P. M. Galdames,Kelen Cristiane Teixeira Vivaldini,Daniel Varela Magalhães,Marcelo Becker +4 more
TL;DR: This paper describes a method based on the Extended Kalman Filter (EKF) to estimate the Batteries State of Charge (SOC) and the experimental results have shown its effectiveness using resistive loads.
Proceedings Article
Adaptive cubature Kalman filter for nonlinear state and parameter estimation
TL;DR: This work considers a recursive algorithm for joint state and parameter estimation where the gradient of the prediction error is used to tune the approximate nonlinear filter adaptively and demonstrates the effectiveness of the proposed filtering method on two practical nonlinear estimation problems.
References
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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
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.
Journal ArticleDOI
Methods for state-of-charge determination and their applications
TL;DR: In this article, the authors introduce commonly used methods for state-of-charge (SOC) determination and establish a relationship between the advantages of different methods and the most common applications.
Journal ArticleDOI
Thermal‐Electrochemical Modeling of Battery Systems
W. B. Gu,Chao Yang Wang +1 more
TL;DR: In this paper, the authors developed a thermal and electrochemical coupled model capable of predicting the spatial distribution and temporal evolution of temperature inside a battery, which can provide valuable internal information to help optimize the battery system in a cost effective manner.
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.