[HTML][HTML] Review of “grey box” lifetime modeling for lithium-ion battery: Combining physics and data-driven methods

W Guo, Z Sun, SB Vilsen, J Meng, DI Stroe - Journal of Energy Storage, 2022 - Elsevier
Lithium-ion batteries are a popular choice for a wide range of energy storage system
applications. The current motivation to improve the robustness of lithium-ion battery …

[HTML][HTML] Parametrization of physics-based battery models from input–output data: A review of methodology and current research

M Andersson, M Streb, JY Ko, VL Klass, M Klett… - Journal of Power …, 2022 - Elsevier
Physics-based battery models are important tools in battery research, development, and
control. To obtain useful information from the models, accurate parametrization is essential …

Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries

K Liu, Y Gao, C Zhu, K Li, M Fei, C Peng… - Control Engineering …, 2022 - Elsevier
Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …

[HTML][HTML] Investigating re-parametrization of electrochemical model-based battery management using real-world driving data

M Streb, M Andersson, VL Klass, M Klett, M Johansson… - ETransportation, 2023 - Elsevier
Li-ion batteries in electric vehicles must be utilized more efficiently to lower their economic
and environmental cost. To achieve this increase in efficiency, it is of large interest to …

Enhanced state-of-charge estimation of LiFePO4 batteries using an augmented physics-based model

Y Gao, GL Plett, G Fan, X Zhang - Journal of Power Sources, 2022 - Elsevier
Voltage hysteresis is prominent in LiFePO 4 cells and increases the difficulty to estimate
state-of-charge (SOC) accurately. This paper proposes an efficient SOC estimation scheme …

Development and parameterization of a control-oriented electrochemical model of lithium-ion batteries for battery-management-systems applications

Y Gao, C Liu, S Chen, X Zhang, G Fan, C Zhu - Applied Energy, 2022 - Elsevier
A precise electrochemical battery model is critical for advanced battery management
systems to improve the safety and efficiency of electric vehicles. This paper presents a novel …

Combining reduced-order model with data-driven model for parameter estimation of lithium-ion battery

ZY Shui, XH Li, Y Feng, BC Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The parameters of a lithium-ion battery are important to construct an effective battery
management system. Parameter estimation assisted by the pseudo-two-dimensional (P2D) …

A Battery Digital Twin From Laboratory Data Using Wavelet Analysis and Neural Networks

R Di Fonso, R Teodorescu, C Cecati… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Lithium-ion (Li-ion) batteries are the preferred choice for energy storage applications. Li-ion
performances degrade with time and usage, leading to a decreased total charge capacity …

Sensitivity analysis of electrochemical model parameters for lithium-ion batteries on terminal voltages and anode lithium plating criterion

S Ma, B Sun, X Su, W Zhang, H Ruan - Journal of Energy Storage, 2023 - Elsevier
The design of optimized charging strategies based on electrochemical models is essential
for the broader use of electric vehicles. Lithium plating on the anode surface is strongly …

Determination of half-cell open-circuit potential curve of silicon-graphite in a physics-based model for lithium-ion batteries

Y Gao, Z Sun, D Zhang, D Shi, X Zhang - Applied Energy, 2023 - Elsevier
Lithium-ion batteries with silicon/graphite anodes have the potential to deliver high
theoretical capacity. However, these electrodes exhibit significant hysteresis, which presents …