activity
20232025
most citedLithium-ion battery performance model including solvent segregation effects

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2025

Lithium-ion battery degradation: Introducing the concept of reservoirs to design for lifetime

Mohammed Asheruddin Nazeeruddin, Ruihe Li, Simon E. J. OKane +2

Designing lithium-ion batteries for long service life remains a challenge, as most cells are optimized for beginning-of-life metrics such as energy density, often overlooking how d…

physics.chem-ph2024

Mapping safety transitions as batteries degrade: A model-based analysis towards full-lifespan battery safety management

Xinlei Gao, Ruihe Li, Gregory J. Offer +1

Battery safety is important, yet safety limits are normally static and do not evolve as batteries degrade. Consequently, many battery systems are overengineered to meet increasingl…

physics.chem-ph20231 cited

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…

physics.chem-ph2023

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…

physics.chem-ph2023

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…