The Electrochemical Science & Engineering group at Imperial College London works at the interface between the science and engineering of electrochemical devices, mostly focused on automotive & stationary power applications.
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PhD alumni Yu Merla wins the Margaret Fishenden Centenary Memorial Prize. His thesis ‘Development of new on-board battery diagnosis/prognosis tools for extending lifetime and mitigating failure' was selected as the best PhD thesis in the Department of Mechanical Engineering in the last 5 years.
New release: short animation summarising our work on the Cell Cooling Coefficient, (a battery design tool) and how thermal management can be improved in the next generation of batteries.
Battery performance map showing pseudo-steady state voltage at different currents and SOCs with superimposed operating points of 2 cells at 40% and 60% SOC to show the rebalancing effect. The no load contour is shown in black for reference.
Highly instrumented lithium ion batteries with integrated thermal management ready for testing
TauFactor is a tool for the rapid analysis of 3D microstructural data derived for various tomography techniques.
Schematic of a Regenerative Hydrogen-Vanadium Fuel Cell (RHVFC) displaying redox reactions and transport ofspecies across the cell. Performance during galvanostatic operation and polarisation test along with predictions ofthe zero-dimensional model.
The Cell Cooling Coefficient is a metric to measure the thermal performance of any lithium-ion cell, and can be used as a universal comparison tool. Calculating the Tab Cell Cooling Coefficient for any cell and any thermal management method is simple.
Cycling responses of lithium-ion battery at 2C (left) and the stress profiles in electrode particles with the marked time steps (right). Larger stresses are found close to the separator and current collectors, leading to nonuniform particle damages.
X-ray CT used to observe the pore alignment in a designed ionogel separator, which was used to explain its increased ionic conductivity.
Architecture of a deep-convolutional generative adversarial network used for microstructural image generation for lithium-ion battery and fuel cell electrodes.
Summary of the effects of polysulfide dissolution, shuttle phenomenon, effect on the cathode, insoluble products upon charge and discharge in lithium sulfur batteries.
Our latest publications on lithium-ion batteries.
Our latest publications on lithium-sulfur batteries
Our latest publications on supercapacitors
Our latest research and papers on redox flow batteries.
Our latest research and papers on polymer electrolyte membrane fuel cells (PEMFCs).
Our latest research and papers on solid oxide fuel cells (SOFCs).
Our latest research and papers on sodium ion batteries
Our latest research and papers on electrocatalysis
Our latest publications on machine learning
Our latest research and papers on the techno-economics of hybrid, electric and fuel cell vehicles.
Our latest research and papers on additive manufacturing for energy storage.
Our latest research and papers on 3D tomography and imaging