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
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December 8, 2023
5 Steps to Maximize the Value of Battery Energy Storage Systems
This article walks you through some of the most common steps when considering the deployment and operation of a battery storage system, and shows you the power of data monitoring, smart algorithms, and simulations to maximize the economic return of battery energy storage systems throughout their lifetime across multiple revenue streams.
Article
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November 10, 2023
Electric vehicle safety and reliability
Battery safety and reliability are essential to OEMs and operators. Why is battery intelligence needed to maintain a safe and reliable operation? Why is a battery management system not enough? The article explains the complexity of EV batteries.
Article
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September 5, 2023
E-Bus Fleet Management
The transport sector is decarbonizing fast. Alongside this development, we have also been witnessing a data revolution. This new data technology can be used to empower e-bus fleet management. The article explains how data and battery analytics help to optimally manage batteries.
Article
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July 27, 2023
Decoding battery fires
Lithium ion battery fires are extremely rare but due to the technical nature of batteries, extinguishing them is a big challenge. It is, therefore, sensible to examine the causes, counter- and preventive measures a bit more closely.
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June 30, 2023
Sustainability and batteries
In this article, we’ll explore what sustainability with batteries really means … and how you can make it pay.
Article
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June 12, 2023
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.
Whitepaper
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August 9, 2024
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.
Whitepaper
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August 6, 2024
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.
Whitepaper
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March 25, 2024
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.
Whitepaper
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March 25, 2024
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).
Whitepaper
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March 11, 2024
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.
Whitepaper
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January 9, 2024
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.
Research Paper
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February 14, 2023
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.
Research Paper
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July 13, 2022
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.
Research Paper
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December 2, 2021
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).
Research Paper
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September 2, 2021
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.
Research Paper
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November 23, 2020
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.