Knowledge HUB

Insights from battery experts

Explore the latest trends, research papers, blog posts and more.
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Men working in front of a computer screen


Improve BESS performance & secure revenue with the TWAICE Performance Manager

In this article, we discuss how the new TWAICE Performance Manager helps asset managers to proactively fix issues with underperforming system components, reducing revenue loss. This means they ensure maximum possible availability for their asset with minimal manual effort.
Battery light

How State of Charge estimations can make or break your BESS project

Learn how to optimize your energy storage with accurate state of charge estimation
TWAICE Vision 2024 green battery

TWAICE Vision Summit 2024 Report

The TWAICE Vision Summit is a conference about the importance of software in a battery-powered future. Speakers from leading companies in the electric vehicle, energy and battery industries discussed its challenges. Our report highlights the main findings of the conference.
TWAICE Vision 2024 David Howey

TWAICE Vision Summit 2024: Innovation in battery modeling

David Howey explains how data-driven models can help achieve efficient battery design.
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
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).
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.
EV safety

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.
TWAICE battery lab

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.

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.
BESS failure analysis

Insights from EPRI's BESS failure incident database

This report is intended to address the failure mode analysis gap by developing a classification system that is practical for both technical and non-technical stakeholders.
Battery production and testing

Non-destructive electrode potential and open-circuit voltage aging estimation for lithium-ion batteries

In this publication we extend a state-of-the-art electrode open circuit potential model for blend electrodes and inhomogeneous lithiation. We introduce a bi-level optimization algorithm to estimate the open parameters of the electrode model using measurements conducted on the full-cell level with state-of-the-art testing equipment.
Battery development

Mechanistic cycle aging model for the open-circuit voltage curve of lithium-ion batteries

Cycling lithium-ion batteries causes capacity fade, but also changes the shape of the open-circuit voltage (OCV) curve, due to loss of active material (LAM) and loss of lithium inventory (LLI). To model this change, we recently proposed a novel empirical calendar aging model that is parameterized on component states of health (s) instead of capacity fade only.
Holding battery component in front of people

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.
TWAICE battery research in front of computer

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.
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.