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Current Trends for State-of-Charge (SoC) Estimation in Lithium-Ion Battery Electric Vehicles
2021
Energies
Battery management systems (BMSs) are vital components in ESS systems for Lithium-ion batteries (LIBs). One parameter that is included in the BMS is the state-of-charge (SoC) of the battery. ...
SoC estimation is a key BMS feature, and precise modeling and state estimation will improve stable operation. This review discusses current methods use in BEV LIB SoC modelling and estimation. ...
The authors also acknowledge Freyr Battery AS, NTNU (Project No. 90492503) and EIT Innoenergy SE (Project No. 02-2019-IP172-FREYR). ...
doi:10.3390/en14113284
fatcat:w2kyybjdfjcsdmvgvqikpqzkb4
Cascaded Fractional Kalman Filtering for State and Current Estimation of Large-Scale Lithium-Ion Battery Packs
2018
2018 Chinese Control And Decision Conference (CCDC)
In this paper, a cascaded fractional Kalman filter for state of charge and branch current estimation of largescale battery systems is proposed. ...
Using this proposed approach, it is not only possible to estimate the states of each branch locally but also to calculate the branch currents when the total current is known. ...
INTRODUCTION The state of charge (SOC) is one of the most important variables describing the state of a Lithium-ion battery. ...
doi:10.1109/ccdc.2018.8408010
fatcat:ptblmcwh35fujavb4y7bqwaheu
IEEE Access Special Section Editorial: Advanced Energy Storage Technologies and Their Applications
2020
IEEE Access
article titled ''State of charge estimation of lithium-ion batteries over wide temperature range using unscented Kalman filter.'' ...
In the article titled ''An on-line state of health estimation of lithium-ion battery using unscented particle filter,'' Liu et al. estimate the state of health (SOH) of lithium ion batteries using the ...
doi:10.1109/access.2020.3036556
fatcat:ev6dgf277bfr5dr3r3cyfxrbna
Estimation of Lithium-Ion Batteries State-Condition in Electric Vehicle Applications: Issues and State of the Art
2021
Electronics
Lithium-ion batteries are the most used these days for charging electric vehicles (EV). ...
The classification of estimation methodologies for internal parameters and the charging status of batteries will be very helpful in choosing the appropriate method for the development of a reliable and ...
pack series, by using the adaptive extended Kalman Filter. ...
doi:10.3390/electronics10131588
fatcat:74sk6rertjbuhomwnsby4rivhy
SOC Estimation of Multiple Lithium-Ion Battery Cells in a Module Using a Nonlinear State Observer and Online Parameter Estimation
2018
Energies
In this paper, a model-based approach is proposed to estimate the SOCs of multiple lithium-ion (Li-ion) battery cells, connected in a module in series, by using a nonlinear state observer (NSO) and an ...
It is very important to provide accurate state-of-charge (SOC) information of the battery module to the driver, since inaccurate fuel gauges will not be tolerated. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/en11071620
fatcat:rhbkofpihzci7csb3kemrf42zu
Open circuit voltage and state of charge relationship functional optimization for the working state monitoring of the aerial lithium-ion battery pack
2018
Journal of Cleaner Production
The OCV-based EKF (Extended Kalman Filter) correction function can be used together with the time-hazard integral method, proposing a KF (Kalman Filter) correction algorithm to reduce the estimation error ...
The SOC estimation of lithium-ion batteries was realized by using the dual filters of KF and UKF (Sepasi, Ghorbani, & Liaw, 2014 ). ...
doi:10.1016/j.jclepro.2018.07.030
fatcat:awgiithev5e65lyzvlco5mhdcm
Extended Rauch–Tung–Striebel Smoother for the State of Charge Estimation of Lithium-Ion Batteries Based on an Enhanced Circuit Model
2022
Energies
The state of charge (SOC) of a lithium battery system is critical since it indicates the remaining operating hours, full charge time, and peak power of the battery. ...
5% lower than that of extended Kalman filter (EKF). ...
Then, they implemented an extended Kalman filter to estimate the lithium-ion battery system's state of charge. Zhou Z. et al. ...
doi:10.3390/en15030963
fatcat:sfqi6huk4nhe7fa5fuiakngsmu
Comparative Study of Online Open Circuit Voltage Estimation Techniques for State of Charge Estimation of Lithium-Ion Batteries
2017
Batteries
The proposed techniques use the battery's terminal voltage and current to estimate the OCV, which is correlated to the state of charge (SOC). ...
In this paper, online estimation of the open-circuit voltage (OCV) of lithium-ion batteries is proposed by two different adaptive filtering methods (i.e., recursive least square, RLS, and least mean square ...
Acknowledgments: The authors gratefully acknowledge the financial support for this work from the college of engineering of Tennessee Technological University. ...
doi:10.3390/batteries3020012
fatcat:7nvhbtkssndkhdh6cz4ax4dmkm
State of charge estimation of lithium ion batteries using an extended single particle model and sigma-point Kalman filter
2017
2017 IEEE Southern Power Electronics Conference (SPEC)
ACKNOWLEDGMENT The authors would like to thank Professors Peter Talbot, Jose Alarco and Dr. Jawahar Nerkar from QUT for their support with the experimental results. ...
In comparison with standard KF, extended Kalman filter (EKF) is a highly efficient adaptive filter and is preferable for estimating the state of the battery [16] . ...
SOC ESTIMATION USING SIGMA-POINT KALMAN FILTER In order to estimate the SOC of the battery with high precision and stability, the SPKF algorithm reported in [17] is used in this work. ...
doi:10.1109/spec.2017.8333564
fatcat:2wjdgf6qovgjped5wg2p6rzhsm
A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model
2013
Journal of Power Sources
the impedance model. < Fractional Kalman filter is introduced to estimate the states such as SOC. a b s t r a c t This paper deals with the problem of estimating the state of charge (SOC) of lithium-ion ...
The fractional Kalman filter is introduced to estimate the SOC of the lithium-ion battery based on the impedance model. ...
To take advantage of Kalman filter, popularly used in estimation problems, and considering the properties of the impedance model, the traditional Kalman filter is modified and the fractional Kalman filter ...
doi:10.1016/j.jpowsour.2013.01.094
fatcat:sbxidn6zx5emlf4ryde6b26p5m
An Adaptive State of Charge Estimation Method of Lithium-ion Battery Based on Residual Constraint Fading Factor Unscented Kalman Filter
2022
IEEE Access
INDEX TERMS Lithium-ion battery, state of charge estimation, residual constraint fading factor-unscented Kalman filter, adaptive forgetting factor recursive least square, cubic Hermite interpolation. ...
It is crucial to conduct highly accurate estimation of the state of charge (SOC) of lithiumion batteries during the real-time monitoring and safety control. ...
a double fractional-order extended Kalman filter to achieve simultaneous estimation of SOC and SOH. ...
doi:10.1109/access.2022.3170093
fatcat:kv6pwudwc5hojiuomw4y2gyiv4
Partition-based Unscented Kalman Filter for Reconfigurable Battery Pack State Estimation using an Electrochemical Model
[article]
2017
arXiv
pre-print
Accurate state estimation of large-scale lithium-ion battery packs is necessary for the advanced control of batteries, which could potentially increase their lifetime through e.g. reconfiguration. ...
Such state estimation scheme gives rise to a partition-based unscented Kalman filter (PUKF). ...
CONCLUSIONS A partition-based distributed scheme for the state estimation of a lithium-ion battery pack has been presented. ...
arXiv:1709.07816v1
fatcat:46mrtdguzvfbzneets7r53csi4
Lithium-ion battery thermal-electrochemical model-based state estimation using orthogonal collocation and a modified extended Kalman filter
2015
Journal of Power Sources
This implementation of the pseudo-2D model is then used in combination with an extended Kalman filter algorithm for differential-algebraic equations to estimate the states of the model. ...
This paper investigates the state estimation of a high-fidelity spatially resolved thermal- electrochemical lithium-ion battery model commonly referred to as the pseudo two-dimensional model. ...
Ltd. through a Global Research Outreach program in collaboration with the Samsung Advanced Institute of Technology. Shi Zhao is funded through the RCUK Energy Programme's STABLE-NET project (ref. ...
doi:10.1016/j.jpowsour.2015.07.019
fatcat:qliwllgoyzgk5dqocluf4qaxpm
A New State of Charge Estimation Algorithm for Lithium-Ion Batteries Based on the Fractional Unscented Kalman Filter
2017
Energies
Plett adopted Extended Kalman Filter (EKF) on SOC estimation of Li-ion battery [7] . The SOC estimation of the battery is a non-linear system problem [13] . ...
Liu et al. established a fractional-order PNGV model and Extended Fractional Kalman Filter (EFKF) to implement the state estimation [26] . ...
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/en10091313
fatcat:qqi2dazmujfmpmwef73imt5uwm
Research on Co-Estimation Algorithm of SOC and SOH for Lithium-Ion Batteries in Electric Vehicles
2022
Electronics
The accurate estimation of the state of charge (SOC) and state of health (SOH) is of great significance to energy management and safety in electric vehicles. ...
combines the recursive least squares method with a forgetting factor and the extended Kalman filter. ...
Online state of charge estimation for the aerial lithium-ion battery packs
based on the improved extended Kalman filter method. J. Energy Storage 2017, 9, 69–83. [CrossRef]
16. ...
doi:10.3390/electronics11020181
fatcat:ldgj6wb53zd4nd3bgpaxmnkzhy
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