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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Proceedings ArticleDOI
SOC estimation of Lithium-ion battery using Kalman filter and Luenberger observer: A comparative study
TL;DR: In this article, a battery model based on equivalent electrical circuits has been used to describe the battery dynamics and the battery state of charge (SOC) has been estimated in real time by means of two methods: Luenberger observer and Kalman filter.
Journal ArticleDOI
Incipient short-circuit fault diagnosis of lithium-ion batteries
TL;DR: Inspired by the concept of Takagi-Sugeno fuzzy system, a weighting function self-regulating non-linear robust state and fault estimator that is designed for battery SC detection is proposed and the slowly changing characteristic of battery state of charge (SOC) is fully taken into account.
Journal ArticleDOI
False Data Injection Attacks Against State-of-Charge Estimation of Battery Energy Storage Systems in Smart Distribution Networks
Peng Zhuang,Hao Liang +1 more
TL;DR: In this article, the authors investigated the vulnerability of SoC estimation of battery energy storage systems in smart distribution networks (SDNs) to false data injection attacks (FDIAs) to provide a basis to study the attack mechanisms against BESSs and a theoretical guide to develop countermeasures.
Journal ArticleDOI
An extended Kalman filter based SOC estimation method for Li-ion battery
TL;DR: Li et al. as discussed by the authors applied Thevenin equivalent circuit model of a battery to establish estimation model, and it can reflect the working state of the battery, and the extended Kalman filtering algorithm is employed to solve the estimation error caused by Gaussian noise.
Journal ArticleDOI
Experimental set-up and procedures to test and validate battery fuel gauge algorithms
TL;DR: In this article, a hardware-in-the-loop (HIL) testing approach is presented to validate the state-of-charge (SOC) and time-to-shutdown (TTS) estimates of a BFG.
References
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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.