Extension of Physics-Based single Particle Model for Higher Charge-Discharge Rates
By S. Rahimian, Sean Rayman, Ralph E. White. 2013
211 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9776e453a6d6a4a44d94c29308a1e5241c8da54f
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Citations in the corpus
- State of charge estimation of a lithium ion cell based on a temperature dependent and electrolyte enhanced single particle model (2015, methodology): “[24] derived an isothermal SPM by polynomial approximation of electrolyte dynamics in terms of 13 differential algebraic equations which are solved by COMSOL Inc.”
- Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems (2020, methodology): “However, to overcome this problem, authors have modified the SPM to include the electrolyte concentration gradients back into the model towards a formulation termed the enhanced SPM (SPMe) which has superior accuracy compared to the SPM [22 , 23] .”
- Battery State Estimation for a Single Particle Model With Electrolyte Dynamics (2017, background): “For instance, the model in [19] does not allow for the output-inversion step and we require to design a provably convergent observer, due to the spatial distribution of the surface concentration in the solid given by the interaction of the approximate diffusion representation and the polynomial (in ”