[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 …

Accelerating parameter estimation in Doyle–Fuller–Newman model for lithium-ion batteries

SR Reddy, MK Scharrer, F Pichler… - … journal for computation …, 2019 - emerald.com
Purpose This paper aims to solve the parameter identification problem to estimate the
parameters in electrochemical models of the lithium-ion battery. Design/methodology …

Aging sensitive battery control

M Andersson - 2022 - diva-portal.org
The battery is a component with significant impact on both the cost and environmental
footprint of a full electric vehicle (EV). Consequently, there is a strong motivation to maximize …

Many-Objective Hybrid Optimization Under Uncertainty With Applications

S Reddy - 2019 - digitalcommons.fiu.edu
A novel method for solving many-objective optimization problems under uncertainty was
developed. It is well known that no single optimization algorithm performs best for all …

Modelling, parameter identification and aging-sensitive management of lithium-ion batteries in heavy-duty electric vehicles

M Andersson - 2024 - diva-portal.org
The battery is a component with significant impact on both the cost and environmental
footprint of a full electric vehicle (EV). Consequently, there is a strong motivation to maximize …

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