activity
20232026
most citedPyBOP: A Python package for battery model optimisation and parameterisation

7 citations · 17 across the 8 of their papers we have counts for

collaborators

8 papers

math.OC2026

Lifetime Profit-Maximising Co-optimisation of Multi-Service Stacking for Battery Storage

Yuxin Xia, Frederik Schiele, Yihong Zhou +4

Grid-scale battery energy storage can generate revenue by stacking services across electricity and frequency response markets, yet identifying the lifetime profit-maximising stacki…

stat.ME2025

A Primer on Bayesian Parameter Estimation and Model Selection for Battery Simulators

Yannick Kuhn, Masaki Adachi, Micha Philipp +2

Physics-based battery modelling has emerged to accelerate battery materials discovery and performance assessment. Its success, however, is still hindered by difficulties in alignin…

eess.SY2025★ 1 cited

Pseudo-random sequences for low-cost operando impedance measurements of Li-ion batteries

Jussi Sihvo, Noël Hallemans, Ai Hui Tan +3

Operando impedance measurements are promising for monitoring batteries in the field. In this work, we present pseudo-random sequences for low-cost operando battery impedance measur…

eess.SY2024★ 7 cited

PyBOP: A Python package for battery model optimisation and parameterisation

Brady Planden, Nicola E. Courtier, Martin Robinson +3

The Python Battery Optimisation and Parameterisation (PyBOP) package provides methods for estimating and optimising battery model parameters, offering both deterministic and stocha…

cs.IR2024★ 2 cited

Demonstrating Linked Battery Data To Accelerate Knowledge Flow in Battery Science

Philipp Dechent, Elias Barbers, Simon Clark +5

Batteries are pivotal for transitioning to a climate-friendly future, leading to a surge in battery research. Scopus (Elsevier) lists 14,388 papers that mention "lithium-ion batter…

eess.SY2024

The Impact of Grid Storage on Balancing Costs and Carbon Emissions in Great Britain

Seyyed Mostafa Nosratabadi, Iacopo Savelli, Volkan Kumtepeli +4

Grid energy storage can help to balance supply and demand, but its financial viability and operational carbon emissions impact is poorly understood because of the complexity of gri…

eess.SY2024★ 2 cited

Depreciation Cost is a Poor Proxy for Revenue Lost to Aging in Grid Storage Optimization

Volkan Kumtepeli, Holger Hesse, Thomas Morstyn +3

Dispatch of a grid energy storage system for arbitrage is typically formulated into a rolling-horizon optimization problem that includes a battery aging model within the cost funct…

cs.LG2023★ 5 cited

Looping in the Human Collaborative and Explainable Bayesian Optimization

Masaki Adachi, Brady Planden, David A. Howey +5

Like many optimizers, Bayesian optimization often falls short of gaining user trust due to opacity. While attempts have been made to develop human-centric optimizers, they typicall…