[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 …

Enabling high-fidelity electrochemical P2D modeling of lithium-ion batteries via fast and non-destructive parameter identification

L Xu, X Lin, Y **e, X Hu - Energy Storage Materials, 2022 - Elsevier
Physics-based electrochemical models provide insight into the battery internal states and
have shown great potential in battery design optimization and automotive and aerospace …

Sensitivity analysis and joint estimation of parameters and states for all-solid-state batteries

Z Deng, X Hu, X Lin, Y Kim, J Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
All-solid-state batteries (ASSBs) are considered to be the next generation of lithium-ion
batteries. Physics-based models (PBMs) can effectively simulate the internal …

Using partial discharge data to identify highly sensitive electrochemical parameters of aged lithium-ion batteries

CJ Ko, CW Lu, KC Chen, CH Chen - Energy Storage Materials, 2024 - Elsevier
Highly sensitive (HS) electrochemical parameters can serve as battery aging indicators,
deserving thorough examination. To identify these parameters and determine their cycle …

Lithium-ion battery state-of-charge estimation using electrochemical model with sensitive parameters adjustment

J Wang, J Meng, Q Peng, T Liu, X Zeng, G Chen, Y Li - Batteries, 2023 - mdpi.com
State-of-charge (SOC) estimation of lithium-ion (Li-ion) batteries with good accuracy is of
critical importance for battery management systems. For the model-based methods, the …

Identifying the rail operating features associated to intermodal freight rail operation delays

J Pineda-Jaramillo, F Viti - Transportation Research Part C: Emerging …, 2023 - Elsevier
Intermodal freight rail operations represent a complex stochastic system that is impacted by
disruptions and disturbances from diverse causes like extreme weather events, unplanned …

Global parameter sensitivity analysis of electrochemical model for lithium-ion batteries considering aging

Y Gao, X Zhang, C Zhu, B Guo - IEEE/ASME Transactions on …, 2021 - ieeexplore.ieee.org
Accurately identifying the aging-related parameters of a lithium-ion electrochemical model is
crucial for the advanced battery management systems over the cells' service life. However …

Lithium-ion battery optimal charging using moth-flame optimization algorithm and fractional-order model

Y Wang, G Zhao, C Zhou, M Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Considering the increasingly serious environmental pollution and energy crisis, new energy
electric vehicles have good application prospects in future transportation. The lithium-ion …

[HTML][HTML] A multi-step parameter identification of a physico-chemical lithium-ion battery model with electrochemical impedance data

B Wimarshana, I Bin-Mat-Arishad, A Fly - Journal of Power Sources, 2023 - Elsevier
Physico-chemical battery models are widely used in the design and simulation of lithium-ion
batteries due to their physically descriptive modelling approach. The model accuracy highly …

[HTML][HTML] Optimal battery charging of electric flying cars considering quantified safety and economic costs

W Liu, Y Che, Y Zheng, A Khalatbarisoltani… - Energy Conversion and …, 2025 - Elsevier
Safe and efficient charging of lithium-ion batteries is crucial for the economic viability and
convenience of electric flying cars in urban air mobility applications. This article proposes a …