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
Model-Based Adaptive Joint Estimation of the State of Charge and Capacity for Lithium–Ion Batteries in Their Entire Lifespan
TL;DR: A co-estimation scheme of the state of charge (SOC) and available capacity is proposed for lithium–ion batteries based on the adaptive model-based algorithm and the experimental results demonstrate the effectiveness and feasibility of the co-ESTimation scheme.
Journal ArticleDOI
A Review on Different State of Battery Charge Estimation Techniques and Management Systems for EV Applications
Giri. B .T.,D. C. +1 more
TL;DR: In this article , the average error of the state of charge (SOC) is estimated using LSTM, GRU, CNN-LSMT, and hybrid techniques, and a detailed comparison is presented with merits and demerits.
Proceedings ArticleDOI
Universal state of charge estimator for battery packs of battery energy storage systems
TL;DR: A universal method to accurately estimate the SOC for battery packs used in BESSs is presented and the algorithm's low estimation error and reduced computational requirements, makes it practical for on board estimations.
Proceedings ArticleDOI
Novel method to Estimate SoH of Lithium-Ion Batteries
TL;DR: In this article, a regression model between SoH and health parameter, by studying the charging dataset of the battery throughout it's working life (upto 60 % SoH), was developed.
Journal ArticleDOI
Position Estimator Employing Kalman Filter for PM Motors Driven with Binary-type Hall Sensors
TL;DR: In this paper, a vector control scheme for consumer products is enlarging to improve control performance, and the authors propose a new position estimator consisting of a Kalman filter and feedforward compensation scheme, which generates a linearly changing position signal.
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.