Information on the structure of the conference

Extending the Single Particle Model using Method of Lines

In the past years, many reduced order electrochemical models for Lithium-ion batteries have been presented. One of the most popular being the Single Particle Model (SPM), that is derived from the full order Doyle-Fuller-Newman Model (DFN). Moreover, several different numerical solving approaches have been proposed, to enhance either the modelling accuracy or the numerical performance […]

Interface design for positive active material LiNi0.6Mn0.2Co0.2O2 via Al2O3-coatings using magnetron sputtering for improved electrochemical performance and safety properties.

Layered transition metal oxides received a lot of attention as positive active material for lithium ion batteries (LIBs) because of high specific capacity, low cost and relatively high operating potential. However, LiNixMnyCozO2-type materials (NMC, x+y+z=1) still face a lot of challenges: 1) Moisture uptake and formation of impurities at the particle surface”;” 2) Cation mixing […]

Large-scale simulation of Li-ion battery systems for grid storage

Grid-scale lithium-ion batteries are becoming an increasingly integral part of our modern power system to support the proliferation of renewable energy sources. However, though rapidly declining prices and improving capabilities, they continue to remain as a significant portion of investment. Thus, their optimised operation is essential for increasing their economic viability. Despite that in the […]

Optimal Multi-Use Operation of Utility-Scale Battery Systems: Techno-Economic Feasibility Study of the M5BAT Hybrid Storage in Aachen

Large-scale battery storage systems (LSS) have found widespread application in frequency regulation and spot markets across Europe. However, the single-use operation of LSS is typically not economical and depends on fluctuating market prices. Therefore, combined multi-use approaches are necessary to achieve an economically robust operation of LSS and promote their expansion. The hybrid 6 MW […]

Investigation of safety-related parameters of aged Li-ion batteries for the use in second life applications

Understanding the safety characteristics of aged Li-ion batteries is essential for their effective integration into second-life applications. The SafeLiBatt project is a research initiative focused on evaluating the safety-related parameters of these batteries. The presented study elucidates the impact of a battery’s state of health (SOH) on its safety behavior. Four high-power pouch cells (Li-NMC622) […]

Novel Multiphysics Model for Advanced Material Solutions for Safer and Long-Lasting High Capacity Cobalt Free Batteries for Stationary Storage Applications (CoFBAT)

To optimize energy storage new battery technologies are required.[1,2] The objective of the CoFBAT European project is to develop a new generation of batteries for storage applications. The goal of the CoFBAT battery technology is to achieve a longer lifetime (up to 10000 cycles), lower costs (down to 0.03 €/kWh/cycle), improved safety and more efficient […]

Evaluating operating strategies of large-scale industrial battery storage – A case study of a glassworks site

The industry sector largely contributes to greenhouse gas emissions. Yet only a few measures were taken in the last decade to significantly reduce those emissions. However, different industry players have recently implemented steps to decarbonize their operations by switching from fossil fuels to renewable energy sources. This goes along with the increased need for electrification […]

A two layer silicon/graphite anode for higher energy density Li-ion cells

Silicon is a promising anode material for Lithium-ion batteries (LiBs), offering much higher storage capacity than graphite. However, the main challenge of the usage of silicon, as an anode material in LiBs, is mainly linked to its property of huge volume change during cycling, which leads to internal tension that can deteriorate the silicon network […]

Aging Diagnostics of Lithium-ion Batteries using Machine Learning and real Vehicle Fleet Data

MOTIVATION Most approaches for predicting the SOH under a wide range of conditions have one common drawback: They rely on bench testing, which is tedious and time-consuming, cell-specific and expensive. This rarely reflects the actual usage behavior, a crucial factor in battery aging. Instead, our approach uses real driving data. Several classic Machine Learning methods, […]