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.

Insights

TWAICE Vision Summit 2024 Daniela Rittmeier

TWAICE Vision Summit 2024: AI is the key to a sustainable battery life cycle

Daniela Rittmeier explains how artificial intelligence and data-driven models can be used to achieve a sustainable battery lifecycle
TWAICE Vision Summit 2024 Quentin Scrimshire

TWAICE Vision Summit 2024: Availability of grid scale batteries

Quentin Scrimshire analyzes the differences between ERCOT and U.K. grid availability rates
TWAICE Vision Summit 2024 Stephan Rohr and Michael Baumann

TWAICE Vision Summit 2024: Battery software is the key to sustainable future

TWAICE founders Stephan Rohr and Michael Baumann explain how battery analytics software can contribute to sustainable development
TWAICE Vision Summit 2024 Sophie Solchenbach

TWAICE Vision Summit 2024: The influence of cell designs on battery aging

Sophie Solchenbach shows that lithium plating is caused by electrolyte motion in one of their research cells.
TWAICE Vision Summit 2024 Richard Mohr

TWAICE Vision Summit 2024: Battery health and EVs

Richard Mohr explains the importance of battery health in evaluating electric vehicle performance
TWAICE Vision Summit 2024 Susan Babinec

TWAICE Vision Summit 2024: Rapid Operational Validation Initiative

Susan Babinec explains the U.S. Department of Energy's plan to accelerate the transition from laboratory to mass development

Beyond Lithium: Explore the potential of sodium-ion batteries with TWAICE’s new battery simulation model

As the demand for energy storage continues to surge, researchers and engineers are turning their attention to sodium-ion batteries as a promising alternative to lithium-ion. In this whitepaper, we explore the growing demand for sodium-ion technology and explain how TWAICE’s sodium-ion battery simulation model can help engineers gain initial insights into this new technology.
Battery Analytics for Energy Storage Systems

Battery Analytics for ESS: Template Text for RFPs, RFIs & other contractual instruments

Battery analytics adoption in energy storage systems (ESS) is rapidly increasing. In this document, we provide ready-to-use text that can be assimilated into requests for proposals (RFPs), requests for information (RFIs), and other contracting instruments to reduce or eliminate any friction of battery analytics implementation.
Energy storage in front of mountains

LFP in energy storage

Lithium-ion batteries play an essential role in the transition to renewable energies and in generating electricity from more reliable and sustainable technologies. NMC has been the widely used technology for the past years, but now LFP is increasing in popularity due to reasons such as cost and safety advantages. However, LFP comes with challenges, particularly regarding accurate state estimations.
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).
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.
Improving BESS performance, availability and safety

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

Battery energy storage systems are essential for accelerating the shift towards green energy and an integral part of the electricity grid across the globe. Their safety, availability and performance is more important than ever.
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.
impedance of lithium-ion batteries research paper

Impedance Research Paper

Continuous impedance monitoring provides significant insights into the aging status of a battery. However, the on-line determination of battery impedance parameter for its low-frequency part is a challenging task. This paper provides an algorithm for its determination, which features a novel approach to quantifying the impedance caused by diffusion processes at low frequencies.