376 citations · 445 across the 12 of their papers we have counts for
6 papers · 1 filter
Lithium-ion battery performance model including solvent segregation effects
Ruihe Li, Simon O'Kane, Andrew Wang +5
A model of a lithium-ion battery containing a cosolvent electrolyte is developed and implemented within the open-source PyBaMM platform. Lithium-ion electrolytes are essential to b…
Lithium-ion battery degradation: using degradation mode analysis to validate lifetime prediction modelling
Ruihe Li, Niall D. Kirkaldy, Fabian Oehler +3
Predicting lithium-ion battery lifetime is one of the greatest unsolved problems in battery research right now. Recent years have witnessed a surge in lifetime prediction papers us…
A million cycles in a day: enabling high-throughput computing of lithium-ion battery degradation with physics-based models
Ruihe Li, Simon O'Kane, Jianbo Huang +2
High-throughput computing (HTC) is a pivotal asset in many scientific fields, such as biology, material science and machine learning. Applying HTC to the complex physics-based degr…
A Continuum of Physics-Based Lithium-Ion Battery Models Reviewed
Ferran Brosa Planella, Weilong Ai, Adam M. Boyce +13
Physics-based electrochemical battery models derived from porous electrode theory are a very powerful tool for understanding lithium-ion batteries, as well as for improving their d…
Towards Rigorous Validation of Li-S Battery Models
Michael Cornish, Monica Marinescu
Achieving Li-S batteries' promise of significantly higher gravimetric energy density and lower cost than Li-ion batteries requires researchers to delineate the most important facto…
Lithium-ion battery degradation: how to model it
Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula +7
Predicting lithium-ion battery degradation is worth billions to the global automotive, aviation and energy storage industries, to improve performance and safety and reduce warranty…