Knowledge HUB

Insights from battery experts

Explore the latest trends, research papers, blog posts and more.
Join us as we cover hot topics, debate the future of tech and share trending stories.

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Insights

Sky Energy Storage

De-risk deployment and scaling of energy storage systems

Learn how VERBUND de-risked deployment and scaling of battery energy storage systems using TWAICE's Digital Commissioning.
Solar panels in front of an energy storage systems

How energy storage systems are used

As related costs decrease and deployment options increase, more and more, energy storage systems (ESS) are becoming essential for sustainable energy production. The ability to store energy as well as supply it makes the technology suitable for multiple use cases. Understanding all the possible use cases for ESS makes that attractiveness even clearer.
Electric fleet management

In-life mobility solutions

Most fleet managers in the public sector, and operators of larger commercial fleets are now opting for electric vehicles. Nevertheless, there are still some concerns about this new technology regarding battery failure costs. This is when battery analytics becomes a key-value driver to unleash the full potential of battery-powered fleets.
Energy Storage Systems

De-risk deployment & operations of energy storage systems

On average battery energy storage systems are only available 82% of the time. Many issues however can already be detected before deployment, in the commissioning phase. The article explains the advantages of digital commissioning, like a quicker analysis and more detailed insights into KPIs and potential manufacturing failures.
Green Tech Battery

Battery industry 2023: More sustainability, safety and independence

Battery industry predictions for 2023 by Dr. Matthias Simolka, Product Manager Energy Solutions at TWAICE.
TWAICE Model Library

Improve battery system design with battery simulation models

Batteries are a key technology in the transition to carbon-free mobility. When it comes to designing battery systems for electric products, batteries must meet certain requirements that must still be met after years of operation, in order to avoid jeopardizing the intended business case and damaging companies. TWAICE's simulation models help engineers make the right decisions fast when designing a battery system, leading to reduced risks, improved reliability, and faster time to market.
Electrified street in mountains

Batteries and their Global Warming Potential: a lifecycle view

Lithium-Ion-Batteries are a key technology for green energy, mobility, and for this reason a key technology to mitigate climate change. However, batteries have a significant environmental impact. This impact is created along various steps in the lifecycle, e.g. during the extraction of raw materials or production. This white paper will explore the various stages of a battery's life cycle and how they contribute to its overall Global Warming Potential (GWP).
Improving BESS performance, availability and safety

Improve the safety, availability and performance of your battery energy storage systems

Battery energy storage systems (known as BESS or ESS) are essential for accelerating the shift towards green energy. They are now an integral part of the electricity grid across the globe, meaning that their safety, availability and performance is more important than ever.
EV safety

Safeguard electric vehicle fleets with battery analytics

There are a complex variety of causes of reliability and safety problems with electric vehicle batteries. In this whitepaper, we explore EV battery safety and reliability concerns, potential causes of issues, and how battery analytics can help overcome these challenges.
TWAICE battery lab

A new generation of aging models for lithium-ion batteries

The latest version of the TWAICE simulation model, Version 9, introduces the first steps towards a new generation of battery simulation models: The physics-motivated semi-empirical aging models.

Protect aftersales profits: Start with accurate and reliable insights into battery health

In this whitepaper, we discuss the core challenges caused by battery aging, how these affect aftersales departments across the industry, and how battery analytics can help OEMs overcome these challenges.
energy storage system safety solar panels dusk

Battery Energy Storage System Safety: How to Avoid the Worst Case Scenario

The lithium-ion battery market is growing fast, meaning safety incidents are likely to get more and more frequent. Battery analytics helps companies reduce the risk of battery energy storage system fires.
Holding battery component in front of people

Mechanistic calendar aging model for lithium-ion batteries

In this work we present a novel mechanistic calendar aging model for a commercial lithium-ion cell with NCA cathode and silicon-graphite anode. The mechanistic calendar aging model is a semi-empirical aging model that is parameterized on component states of health, instead of capacity.
TWAICE battery research in front of computer

Measurement Approaches for Thermal Impedance Spectroscopy of Li-ion Batteries

Battery performance, lifetime and safety are highly dependent on temperature. With the recent high demand for power capabilities, heat management has become increasingly relevant.
TWAICE battery electric vehicle

Evaluation of transmission losses of various battery electric vehicles

Transmission losses in battery electric vehicles have compared to internal combustion engine powertrains a larger share in the total energy consumption and play therefore a major role. In this paper, three simulation models of the Institute of Automotive Engineering are presented.
cell testing in the TWAICE battery research center

Modeling capacity fade of li-ion batteries

Aging models are fundamental tools to optimize the application of lithium-ion batteries. In this work, we show that the CAP-method models capacity fade more accurately when applied to dynamic cyclic aging tests with periodically changing mean state-of-charge, depth-of-discharge, ambient temperature and discharge rates for a commercial NCA cell with a silicon-doped graphite anode.
TWAICE testing simulation, Batteriemodell-Bibliothek

Combining EIS and time-domain data

This work proposes a method to combine time-domain and frequency-domain measurement data for parameterization of RC elements by exploiting the full potential of the distribution of relaxation times (DRT).
lithium ion battery labs module, batteriemodell|

Quantifiability of Cell-to-Cell Variations

Motivated by the question of why impedance variation is consistently reported to be higher than the variation of other parameters, we show that measuring inherent parameter variations caused by production tolerances is superimposed by effects of an imperfect measurement setup.