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.
.webp)
Highlight Stories
No items found.
No items found.
Insights
Article
・
September 15, 2023
Energy storage: an overview of our content
Get an overview of our energy content, covering topics like safety and warranty in the energy sector, deployment and operations of energy storage systems, and general use cases of battery energy storage systems.
Article
・
September 15, 2023
Battery development: an overview of our content
Find an overview of topics related to battery development in this article. Read about battery technologies, the battery industry, and battery simulation models.
Article
・
September 15, 2023
Electric vehicles and fleet management: an overview of our content
Batteries are the future of mobility. Want to learn more about electric vehicles and their batteries? We have got you covered on topics like battery safety, operation and management of batteries, battery development, and residual values. Get an overview of our content pieces.
(1).webp)
Article
・
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
・
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.
Article
・
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.
Whitepaper
・
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
・
January 9, 2024
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.
Whitepaper
・
September 27, 2023
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.
Whitepaper
・
August 17, 2023
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.
Whitepaper
・
February 21, 2023
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.
Whitepaper
・
November 25, 2022
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.
Research Paper
・
June 9, 2023
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.
Research Paper
・
April 12, 2023
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.
Research Paper
・
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
・
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
・
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
・
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.