A5060537444- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Supercapacitor Materials and Fabrication
- Advanced battery technologies research
- Electrocatalysts for Energy Conversion
- Fuel Cells and Related Materials
- Electric Vehicles and Infrastructure
- Additive Manufacturing and 3D Printing Technologies
- Extraction and Separation Processes
- Advancements in Solid Oxide Fuel Cells
- Advanced Sensor and Energy Harvesting Materials
- Additive Manufacturing Materials and Processes
- Semiconductor materials and devices
- Electron and X-Ray Spectroscopy Techniques
- Electric and Hybrid Vehicle Technologies
- Electrospun Nanofibers in Biomedical Applications
- Non-Destructive Testing Techniques
- Environmental Impact and Sustainability
- Conducting polymers and applications
- Energy and Environment Impacts
- Phase Equilibria and Thermodynamics
- Silicon Carbide Semiconductor Technologies
- Machine Learning in Materials Science
- Advanced Memory and Neural Computing
Imperial College London
2016-2025
Dyson (United Kingdom)
2015-2024
The Faraday Institution
2019-2024
Didcot Community Hospital
2021
Transnational Press London
2017-2021
Imperial Valley College
2019
Kensington Health
2015
Nortel (Canada)
2001
The expansion of lithium-ion batteries from consumer electronics to larger-scale transport and energy storage applications has made understanding the many mechanisms responsible for battery degradation increasingly important.
Effective management of lithium-ion batteries is a key enabler for low carbon future, with applications including electric vehicles and grid scale energy storage. The lifetime these devices depends greatly on the materials used, system design operating conditions. This complexity has therefore made real-world control battery systems challenging. However, recent advances in understanding degradation, modelling tools diagnostics, there an opportunity to fuse this knowledge emerging machine...
Predicting lithium-ion battery degradation is worth billions to the global automotive, aviation and energy storage industries, improve performance safety reduce warranty liabilities. However, very few published models of explicitly consider interactions between more than two mechanisms, none do so within a single electrode. In this paper, first attempt directly couple mechanisms in negative electrode reported. The results are used map different pathways through complicated path dependent...
An intelligent battery management system is a crucial enabler for energy storage systems with high power output, increased safety and long lifetimes. With recent developments in cloud computing the proliferation of big data, machine learning approaches have begun to deliver invaluable insights, which drives adaptive control (BMS) improved performance. In this paper, general framework utilizing an end-edge-cloud architecture cloud-based BMS proposed, composition function each link described....
Abstract Physics-based electrochemical battery models derived from porous electrode theory are a very powerful tool for understanding lithium-ion batteries, as well improving their design and management. Different model fidelity, thus complexity, is needed different applications. For example, in we can afford longer computational times the use of computers, while real-time control (e.g. electric vehicles) need to perform fast calculations using simple devices. this reason, simplified that...
The pursuit of low-carbon transport has significantly increased demand for lithium-ion batteries. However, the rapid increase in battery manufacturing, without adequate consideration carbon emissions associated with their production and material demands, poses threat shifting bulk upstream. In this article, a life cycle assessment (LCA) model is developed to account cradle-to-gate footprint batteries across 26 Chinese provinces, 20 North American locations 19 countries Europe Asia. Analysis...
Abstract Practical lithium-ion battery systems require parallelisation of tens to hundreds cells, however understanding how pack-level thermal gradients influence lifetime performance remains a research gap. Here we present an experimental study surface cooled parallel-string packs (temperature range 20–45 °C), and identify two main operational modes; convergent degradation with homogeneous temperatures, (the more detrimental) divergent driven by gradients. We attribute the case the, often...
Lung-inspired flow fields are employed to overcome reactant homogeneity issues in PEFCs, resulting enhanced performance and minimal pressure drop.
We present an all-fiber flexible supercapacitor with composite nanofiber electrodes made via electrospinning and electrospun separator. With the addition of manganese acetylacetonate (MnACAC) to polyacrylonitrile (PAN) as a precursor for process subsequent heat treatment, performance pure PAN supercapacitors was improved from 90 F g−1 200 (2.5 mV s−1) possible mass loadings MnACAC demonstrated high 40 wt%. X-ray diffraction measurements showed that after thermal converted MnO, meanwile,...
Whilst extensive research has been conducted on the effects of temperature in lithium-ion batteries, mechanical have not received as much attention despite their importance. In this work, stress response electrode particles is investigated through a pseudo-2D model with mechanically coupled diffusion physics. This can predict voltage, and thickness change for lithium cobalt oxide-graphite pouch cell agreeing well experimental results. Simulations show that level overestimated by up to 50%...
Abstract An accurate state of charge (SOC) estimation in battery management systems (BMS) is crucial importance to guarantee the safe and effective operation automotive batteries. However, BMS consistently suffers from inaccuracy SOC estimation. Herein, we propose a approach with both high accuracy robustness based on an improved extended Kalman filter (IEKF). equivalent circuit model established, simulated annealing-particle swarm optimization (SA-PSO) algorithm used for offline parameter...
Abstract The safety, durability and power density of lithium‐ion batteries (LIBs) are currently inadequate to satisfy the continuously growing demand emerging battery markets. Rapid progress has been made from material engineering system design, combining experimental results simulations enhance LIB performance. Limited by spatial temporal resolution, state‐of‐the‐art advanced characterization techniques fail fully reveal complex multi‐scale degradation mechanism in LIBs. Strengthening...