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International Journal of Prognostics and Health Management, 2015 The implementation of particle-filtering-based algorithms for state estimation purposes often has to deal with the problem of missing observations. An efficient design requires an appropriate methodology for real-time uncertainty characterization within ...
David E. Acuña +3 more
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State-of-charge estimation for batteries: A multi-model approach [PDF]
2014 American Control Conference, 2014 Monitoring the state-of-charge (SoC) for batteries is challenging, especially when a battery has time-varying parameters. We propose to improve SoC estimation using an adaptive strategy and multiple models in this study, developing a unique algorithm called MM-AdaSoC.
Huazhen Fang +6 more
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The State of Charge Estimating Methods for Battery: A Review [PDF]
ISRN Applied Mathematics, 2013 An overview of new and current developments in state of charge (SOC) estimating methods for battery is given where the focus lies upon mathematical principles and practical implementations. As the battery SOC is an important parameter, which reflects the battery performance, so accurate estimation of SOC cannot only protect battery, prevent overcharge ...
openaire +1 more source
Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]
, 2013 The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
El Faouzi, Nour Eddin +9 more
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Estimation method of state of charge of lithium battery for nodes of wireless sensor network
Gong-kuang zidonghua, 2015 In view of problem of big estimation error of estimation method of state of charge using lithium battery detection chip DS2786, an estimation method of lithium battery for nodes in wireless sensor network was proposed combined with DS2786 chip and Kalman
YANG Lei +3 more
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A Comparative study on state of charge estimation techniques for Lithium-ion Batteries
, 2021 State of Charge (SOC) estimation is significantly important for the optimal utilization and protection of batteries. This paper implements and compares the performance of a neural network (NN) algorithm and Coulomb Counting method for estimating state of
Kaveh Khalilpour +5 more
core +1 more source
Energies, 2019 This paper presents a nonlinear-model-based observer for the state of charge estimation of a lithium-ion battery cell that always exhibits a nonlinear relationship between the state of charge and the open-circuit voltage. The proposed nonlinear model for
Woo-Yong Kim +3 more
doaj +1 more source
Fast Estimation of State of Charge for Lithium-Ion Batteries
Energies, 2014 This paper presents a novel impedance-based approach to efficiently estimate the state of charge (SOC) of a Li-ion battery. By using an AC impedance analyzer, a database is constructed, containing records of AC impedance versus SOC.
Shing-Lih Wu +2 more
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Voltage relaxation curve‐based state of charge estimation method with reduced measurement time
Electronics Letters, 2023 This paper proposes a method for estimating a battery's State of Charge using voltage relaxation curves. This method offers advantages over the conventional State of Charge estimation methods by reducing the measurement time of the Open Circuit Voltage ...
Suhyeon Lee, Dongho Lee
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Battery State of Charge Estimation Based on Composite Multiscale Wavelet Transform
Energies, 2022 The traditional battery state of charge (SOC) estimation method, which is based on neural networks, directly uses terminal voltage and terminal current as the input data.
Yan Cheng +3 more
doaj +1 more source