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
Distributed state-of-charge estimation for lithium-ion batteries with random sensor failure under dynamic event-triggering protocol
TL;DR: In this paper , a distributed filter for the estimation of the state of charge (SOC) of the lithium-ion batteries (LBs) subject to RSF under DETM over the sensor networks is proposed.
Journal ArticleDOI
A Combined DNN-NBEATS Architecture for State of Charge Estimation of Lithium-Ion Batteries in Electric Vehicles
TL;DR: In this article , a new hybrid architecture combining deep neural network (DNN) and Neural Basis Expansion Analysis for Time Series (N-BEATS) is proposed first time for estimating the State of Charge (SoC) of Lithium-ion batteries.
Proceedings ArticleDOI
State-of-Charge Estimation for Batteries Based on the Nonlinear Double-Capacitor Model and Extended Kalman Filter
TL;DR: In this article, the authors proposed a state-of-charge estimation method based on the nonlinear double-capacitor (NDC) model, which is a novel equivalent circuit model distinctly capable of simulating the charge diffusion inside an electrode of a battery and capturing the battery's nonlinear voltage behavior simultaneously.
Journal ArticleDOI
Analytic Estimation of Three-dimensional Variables for SOC in Iron Phosphate Lithium-ion Battery
Proceedings ArticleDOI
State of Charge Estimation using Extended Kalman Filter with Temperature Compensation
TL;DR: In this paper , a robust method for state of charge estimation based on Extended Kalman Filter (EKF) using a second order cell model is presented. But the proposed method is not suitable for the case of large errors in the initial SoC.
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.