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
Jun 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.
May 31, 2023
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.
Mar 27, 2023
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.
Mar 27, 2023
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.
Dec 23, 2022
Battery industry 2023: More sustainability, safety and independence
Battery industry predictions for 2023 by Dr. Matthias Simolka, Senior Technical Solution Engineer at TWAICE
Nov 9, 2022
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.
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.
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.
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.
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.
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October 25, 2022
E-bus charging strategies
What kind of e-bus charging strategies exist and what is their impact on battery health and aging? This whitepaper provides these answers and shows how battery analytics can help operators make data-driven, informed decisions regarding the best charging strategies for their e-bus fleets.
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June 13, 2022
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. Even though NMC is currently the most mature existing technology, and it is therefore widely used, especially in the automotive industry, LFP technology is increasing in popularity due to cost and safety advantages.
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.
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.
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.
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.
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).
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.