Journal ArticleDOI
Online State-of-Health Estimation of VRLA Batteries Using State of Charge
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TLDR
Experimental results show good estimation of the SOH of VRLA batteries, and the proposed method is based on the state of charge (SOC) of the battery.Abstract:
This paper presents an online method for the estimation of the state of health (SOH) of valve-regulated lead acid (VRLA) batteries. The proposed method is based on the state of charge (SOC) of the battery. The SOC is estimated using the extended Kalman filter and a neural-network model of the battery. Then, the SOH is estimated online based on the relationship between the SOC and the battery open-circuit voltage using fuzzy logic and the recursive least squares method. To obtain the open-circuit voltage while the battery is operating, the reflective charging process is employed. Experimental results show good estimation of the SOH of VRLA batteries.read more
Citations
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Journal ArticleDOI
Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
TL;DR: In this paper, the methods for monitoring the battery state of charge, capacity, impedance parameters, available power, state of health, and remaining useful life are reviewed with the focus on elaboration of their strengths and weaknesses for the use in on-line BMS applications.
Journal ArticleDOI
A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles
TL;DR: In this article, a multi-scale extended Kalman filter was employed to estimate battery parameters and state of charge (SoC) in real-time through measured data driven-based battery parameter and SoC estimation.
Journal ArticleDOI
A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
M. S. Hossain Lipu,M. S. Hossain Lipu,M. A. Hannan,Aini Hussain,M. M. Hoque,Pin Jern Ker,Mohd Hanif Md Saad,Afida Ayob +7 more
TL;DR: The goal of this paper is to comprehensively review the different estimation models to predict SOH, and RUL in a comparative manner and identify the classifications, characteristics and evaluation processes with advantages and disadvantages for EV applications.
Journal ArticleDOI
Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells
TL;DR: The moving window least squares parameter-identification technique was validated by both data obtained from a simulated battery model and experimental data and the necessity of updating the parameters is evaluated using observers with updating and nonupdating parameters.
Journal ArticleDOI
A systematic review of lumped-parameter equivalent circuit models for real-time estimation of lithium-ion battery states
TL;DR: In this paper, a systematic review of the most commonly used lumped-parameter equivalent circuit model structures in lithium-ion battery energy storage applications is presented, including the Combined model, Rint model, two hysteresis models, Randles' model, a modified Randles model and two resistor-capacitor (RC) network models with and without hystresis included.
References
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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.
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Nonlinear System Identification
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