A hybrid-aided approach with adaptive state update for estimating the state-of-charge of...

Hybrid data-driven deep learning model for state of charge estimation of Li-ion battery in an electric vehicle

S Oh, J Kim, I Moon - Journal of Energy Storage, 2024 - Elsevier
This study develops a knowledge-assisted data-driven method for state of charge (SoC)
estimation of Li-ion batteries to address the limits of conventional model-based and data …
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Secure state of charge estimation for lithium-ion batteries under deception attacks based on attack-resilient fractional-order extended Kalman filter

T Yang, Y Li, Y Zeng - Journal of Energy Storage, 2024 - Elsevier
Under the framework of Internet of Vehicles, the insecure network environment will cause
the cloud battery management system (CBMS) to receive the tampered measurement data …
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Adaptive Extended Kalman Filtering based State-of-Charge and Voltage Estimation of a Lithium-ion Battery using a Fractional Order Model

A Guha, B Routh, NP Velivela - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
The most crucial parameter for the effective operation of a battery management system
(BMS) is the battery terminal voltage, which is usually used for monitoring the threshold …
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Lithium-ion battery parameter estimation based on variational and logistic map cuckoo search algorithm

TH Dar, S Singh, KK Duru - Electrical Engineering, 2024 - Springer
Accurate estimation of battery parameters such as resistance, capacitance, and open-circuit
voltage (OCV) is absolutely crucial for optimizing the performance of lithium-ion batteries …
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Robust noise-correction recursive least square method for parameter identification of equivalent circuit model in battery management system using Bayes' theorem …

N Trongnukul, M Masomtob… - Electrical Engineering, 2024 - Springer
The recursive least square (RLS) algorithm is considered as one of the popular methods for
the parameter identification in battery management systems (BMSs) models due to its high …
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