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

solar energy storage solar panels snow mountains

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.
Electric trucks battery analytics

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.
Electric bus fleet battery management

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.
Freight ship battery fire in North Sea

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.
battery sustainability

Sustainability and batteries

In this article, we’ll explore what sustainability with batteries really means … and how you can make it pay.
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.
Electric Bus blue charging

Streamlining e-bus warranty discussions

The automotive sector’s transition to green mobility is challenging the bus operators across the world. That was the case of a major operator of electric buses in the Netherlands, who reached out to ViriCiti and TWAICE regarding our Battery Health Solution to integrate data-driven decision making focused on batteries, to avoid timely and costly warranty discussions.
electric car driving through tunnel art night

The Power of Signalling

What is the potential impact of Battery Health Reports (BHR) on remarketing success of the battery electric vehicle (BEV)? Besides age and mileage, driver profile has a major impact on how long a battery lasts. In the absence of documentation of how a driver has treated the battery, residual value formation remains below its full potential.
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.