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.
EV safety

Enhancing EV battery safety and reliability with predictive analytics

AI-enabled analytics let you analyze, monitor, and forecast battery performance across vehicles or fleets, adding an extra layer of safety by identifying issues other systems miss and providing centralized access to all relevant battery insights.
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.
electric bus charging in city

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.
Wind turbines over forest electricity

Energy Storage Analytics

Battery storage systems are an essential component of the energy sector. However, they are complex systems that require special attention. The primary goal of storage owners is to maximize the profit possible from the storage system without taking on additional risk. This is where battery analytics comes into play.
Battery cell testing in the TWAICE battery lab for battery modeling

Approaches to battery modeling

Batteries are complex systems whose operation is determined by a variety of factors, making long term projections a challenge. However, it is possible to understand the future conduct of these systems by building models that mimic their behavior and leverage the computational power to perform the required calculations.
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.