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A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application
To deal with the indeterminacy of the renewable energy in power system, electrochemical
energy storage system is a promising solution for improving the flexibility of grid. As lithium …
energy storage system is a promising solution for improving the flexibility of grid. As lithium …
Connecting battery technologies for electric vehicles from battery materials to management
Vehicle electrification has always been a hot topic and gradually become a major role in the
automobile manufacturing industry over the last two decades. This paper presented …
automobile manufacturing industry over the last two decades. This paper presented …
[HTML][HTML] A machine learning-based framework for online prediction of battery ageing trajectory and lifetime using histogram data
Accurately predicting batteries' ageing trajectory and remaining useful life is not only
required to ensure safe and reliable operation of electric vehicles (EVs) but is also the …
required to ensure safe and reliable operation of electric vehicles (EVs) but is also the …
A robust and sleek electrochemical battery model implementation: a MATLAB® framework
Abstract A Doyle-Fuller-Newman electrochemical battery model implementation in a robust
and sleek MATLAB® framework for lithium-ion batteries as an open-access MATLAB code is …
and sleek MATLAB® framework for lithium-ion batteries as an open-access MATLAB code is …
Parametrisation and use of a predictive DFN model for a high-energy NCA/Gr-SiOx battery
We demonstrate the predictive power of a parametrised Doyle-Fuller-Newman (DFN) model
of a commercial cylindrical (21700) lithium-ion cell with NCA/Gr-SiOx chemistry. Model …
of a commercial cylindrical (21700) lithium-ion cell with NCA/Gr-SiOx chemistry. Model …
Investigation of denoising autoencoder-based deep learning model in noise-riding experimental data for reliable state-of-charge estimation
S Hong, M Kang, J Kim, J Baek - Journal of Energy Storage, 2023 - Elsevier
Abstract State-of-charge (SOC) estimation plays a crucial role in battery management
systems to ensure safe and reliable operation. However, SOC estimation remains …
systems to ensure safe and reliable operation. However, SOC estimation remains …
[HTML][HTML] Real-time state-of-charge estimation using an embedded board for li-ion batteries
With the use of batteries increases, the complexity of battery management systems (BMSs)
also rises. Thus, assessing the functionality of BMSs and performance of the BMS hardware …
also rises. Thus, assessing the functionality of BMSs and performance of the BMS hardware …
A comparative study of modeling and parameter identification for lithium-ion batteries in energy storage systems
Accurate battery model and parameter identification are crucial for battery management.
Many modeling and parameter identification methods have recently been developed for …
Many modeling and parameter identification methods have recently been developed for …
Linearized versus nonlinear observability analysis for lithium-ion battery dynamics: Why respecting the nonlinearities is key for proper observer design
Electrochemical model-based observers for battery state estimation play an important role in
advanced battery management system design to provide accurate real-time estimates of …
advanced battery management system design to provide accurate real-time estimates of …
Advanced battery management systems: Modeling and numerical simulation for control
Battery management systems (BMSs) rely on empirical models, in the form of equivalent
circuit models, thanks to their mathematical simplicity and low computational burden …
circuit models, thanks to their mathematical simplicity and low computational burden …