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20222025
most citedInterpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level

38 citations · 92 across the 6 of their papers we have counts for

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6 papers

eess.SY2025

A Practitioner's Guide to Automatic Kernel Search for Gaussian Processes in Battery Applications

Huang Zhang, Xixi Liu, Faisal Altaf +1

Gaussian process (GP) models have been used in a wide range of battery applications, in which different kernels were manually selected with considerable expertise. However, to capt…

eess.SY2025★ 4 cited

A Transferable Physics-Informed Framework for Battery Degradation Diagnosis, Knee-Onset Detection and Knee Prediction

Huang Zhang, Xixi Liu, Faisal Altaf +1

The techno-economic and safety concerns of battery capacity knee occurrence call for developing online knee detection and prediction methods as an advanced battery management syste…

eess.SY2024★ 26 cited

Comparative Analysis of Control Observer-Based Methods for State Estimation of Lithium-Ion Batteries in Practical Scenarios

Muhammad Saeed, Arash Khalatbarisoltani, Zhongwei Deng +4

The reliability, lower computational complexity, and ease of implementation of control observers make them one of the most promising methods for the state estimation of Li-ion batt…

eess.SY2024

Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control

Godwin K. Peprah, Yicun Huang, Torsten Wik +2

Optimal cooling that minimises thermal gradients and the average temperature is essential for enhanced battery safety and health. This work presents a new modelling approach for ba…

eess.SP2023★ 24 cited

Battery Capacity Knee-Onset Identification and Early Prediction Using Degradation Curvature

Huang Zhang, Faisal Altaf, Torsten Wik

Abrupt capacity fade can have a significant impact on performance and safety in battery applications. To address concerns arising from possible knee occurrence, this work aims for…

eess.SY2022★ 38 cited

Interpretable Battery Cycle Life Range Prediction Using Early Degradation Data at Cell Level

Huang Zhang, Yang Su, Faisal Altaf +2

Battery cycle life prediction using early degradation data has many potential applications throughout the battery product life cycle. For that reason, various data-driven methods h…