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
Estimation of battery state-of-charge for electric vehicles using an MCMC-based auxiliary particle filter
TL;DR: An auxiliary particle filter based on a Markov-chain Monte-Carlo (MCMC) method is developed that improves the estimation accuracy by incorporating auxiliary sampling and enhances its robustness by using MCMC resampling.
Journal ArticleDOI
RETRACTED: Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition:
TL;DR: Results show that the designed energy control model can effectively improve the fuel economy performance of the plug-in hybrid electric vehicle under the premise of ensuring dynamic performance indexes.
Proceedings ArticleDOI
A Novel Velocity Forecast Method for Improving Predictive Energy Management of Plug-In Hybrid Electric Vehicles
TL;DR: A novel velocity predicted method based on Wavelet Transform and Radial Basis Function Neural Network is introduced to achieve the predictive energy management for plug- in hybrid electric vehicles (PHEVs) and results show that the combined algorithm can attain satisfactory performance.
Proceedings ArticleDOI
A Novel Algorithm for SOC using Simple Iteration and Coulomb Counting Method
Dong Guo,Liangzong He +1 more
TL;DR: Different from existing model-based algorithms such as extend kalman filter and H-infinite filter to estimate SOC, the numerical iterative method is introduced in the proposed algorithm and can reduce more than 90% calculation burden while keeping a high SOC accuracy.
Proceedings ArticleDOI
Online Parameter Identification for Lithium-Ion Cell in Battery Management System
TL;DR: In this paper, a real-time and training-free method is developed to identify such parameters as open-circuit voltage, internal resistances, and polarization capacitance of a first-order RC circuit model on line.
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.