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
An Innovative State-of-charge Estimation Method of Lithium-ion Battery Based on 5th-order Cubature Kalman Filter
TL;DR: In this article, a 5th-order cubature Kalman filter with improvements on adaptivity for real-time state-of-charge estimation is presented. But the battery state estimation still suffers from inaccuracy under dynamic operational conditions, with the unstable environmental noise influencing the robustness of estimation.
Journal ArticleDOI
A Threshold Extend Kalman Filter Algorithm for State of Charge Estimation of Lithium-Ion Batteries in Electric Vehicles
TL;DR: In this article , a threshold extended Kalman filter (T-EKF) algorithm based on the influence mechanism analysis of state of charge estimation is proposed, which is set by the residual non-Gauss voltage noise between the measured terminal voltage and the estimated terminal voltage.
Proceedings ArticleDOI
State of Charge Estimation of Lithium Battery Based on FFRLS-SRUKF Algorithm
TL;DR: Experiments show that the time-varying parameter model can accurately simulate the changes of battery terminal voltage, and the SOC estimation strategy adopted can still accurately estimate the SOC of the battery under the condition that the initial value has a large error.
Proceedings ArticleDOI
Implementation Of Multilevel Battery Charging Scheme For Lithium-ion Batteries
TL;DR: This paper presents a multilevel charging technique for Li-ion batteries used in electric vehicle application that charges the battery 48.21% faster than the conventional method.
Proceedings ArticleDOI
Iterative Learning Based Model Identification and State of Charge Estimation of Lithium-Ion Battery
TL;DR: This work focuses on the accurate identification of Lithium-ion battery’s nonlinear parameters by using an iterative learning method using the 2nd-order RC model and the classic extended Kalman filter to identify the functions of 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.