Journal ArticleDOI
State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering
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TLDR
A more accurate battery state of charge (SOC) estimation method for electric drive vehicles is developed based on a nonlinear battery model and an extended Kalman filter supported by experimental data.Abstract:
In this paper, a more accurate battery state of charge (SOC) estimation method for electric drive vehicles is developed based on a nonlinear battery model and an extended Kalman filter (EKF) supported by experimental data. A nonlinear battery model is constructed by separating the model into a nonlinear open circuit voltage and a two-order resistance-capacitance model. EKF is used to eliminate the measurement and process noise and remove the need of prior knowledge of initial SOC. A hardware-in-the-loop test bench was built to validate the method. The experimental results show that the proposed method can estimate the battery SOC with high accuracy.read more
Citations
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Journal ArticleDOI
Higher Order Sliding-Mode Observers for State-of-Charge and State-of-Health Estimation of Lithium-Ion Batteries
TL;DR: In this paper , a higher-order sliding mode-based approach is proposed to deal with the problem of online state of charge (SOC) and state of health (SOH) estimation for lithium-ion batteries.
Dissertation
Modelling, state estimation & optimal charging control for a lithium-ion battery
TL;DR: In this article, a physics-based Li-ion battery model capturing the coupled electrochemical, thermal, electrical and ageing dynamics is first developed, and a framework for PDE battery model simplification is proposed by using singular perturbations and averaging theory.
Proceedings ArticleDOI
State of charge estimation of Lithium Polymer battery using ANFIS and IT2FLS
TL;DR: This study uses two methods of type-reducer, namely Enhanced Iterative Algorithm with Stop Condition (EIASC) and Enhanced Opposite Direction Search (EODS) to determine the most appropriate capacity estimation of the battery.
Journal ArticleDOI
Online state-of-charge estimation refining method for battery energy storage system using historical operating data
TL;DR: In this paper , an online method based on historical operating data is proposed to refine real-time SoC estimation from battery management system (BMS) of BESS, where SoC reference points are initially located from historical time-series data and the maximum available capacity of charge or discharge are further determined with a weighted least squares fitting.
Journal ArticleDOI
A Joint Online Strategy of Measurement Outliers Diagnosis and State of Charge Estimation for Lithium-Ion Batteries
TL;DR: In this article , a joint diagnosis and estimation algorithm for state of charge of lithium-ion batteries subject to sensor measurement outlier is proposed. But the authors do not consider the measurement outliers in the design of the estimator.
References
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Journal ArticleDOI
Accurate electrical battery model capable of predicting runtime and I-V performance
Min Chen,Gabriel A. Rincon-Mora +1 more
TL;DR: An accurate, intuitive, and comprehensive electrical battery model is proposed and implemented in a Cadence environment that accounts for all dynamic characteristics of the battery, from nonlinear open-circuit voltage, current-, temperature-, cycle number-, and storage time-dependent capacity to transient response.
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
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
Dynamic lithium-ion battery model for system simulation
TL;DR: In this article, the authors present a complete dynamic model of a lithium ion battery that is suitable for virtual prototyping of portable battery-powered systems, based on publicly available data such as the manufacturers' data sheets.