Area of research
Automotive Engineering · Electrical and Electronic Engineering
Research interest
Research focused on Lithium (medication) and Battery (electricity), with related work in Degradation (telecommunications), Ion, Lithium-ion battery. Notable publications include 'Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra', 'Systematic feature design for cycle life prediction of lithium-ion batteries during formation', and 'Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data'.
Systematic feature design for cycle life prediction of lithium-ion batteries during formation
Diagnostic-free onboard battery health assessment
Aging matrix visualizes complexity of battery aging across hundreds of cycling protocols
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data
Fast Charging of Lithium-Ion Batteries While Accounting for Degradation and Cell-to-Cell Variability
Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra