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

TWAICE Vision 2022 battery dark lights

TWAICE Vision Conference Report

TWAICE hosted a conference about the importance of software in a battery-driven future. Speakers from leading companies in the electric vehicle, energy and battery industries discussed its challenges. A conference report now highlights the main findings of the event.
electric car charging at night

Three e-mobility trends 2022

The importance of e-mobility to sustainability and environmental awareness continues to grow. Some of the trends that will be emerging for this year include battery-drive at the cutting edge, image change for batteries, and second life batteries enabled by software analytics.
Solar panel energy storage

Predictive battery analytics in the energy sector

Battery storage is a fundamental part of the energy sector. Batteries, however, are complex systems. Deriving the maximum profit from them without incurring any additional risk is the overarching goal of most energy operators. This is where battery analytics can help.
Electric Bus charging optimization

E-Bus Battery Optimization

The e-bus market is already moving fast in 2021. Established bus manufacturers are setting the pace. E-bus manufacturers are currently facing a plethora of questions and uncertainties. Major challenges include the development of the highly complex batteries, warranty management, sustainable fleet management and the issue of battery reuse and recycling.
Battery Automotive electric vehicle recalls

Electric Vehicle Recalls

Numerous recent recalls showed how much risk is associated with the most important competent of the emission-free mobility. The battery is a highly complex piece of technology that must be tightly analyzed not only during the development but also during operation.
traffic future of mobility

Future of Mobility

Even though batteries are a controversial topic, most manufacturers and legislators rely on battery electric vehicles because of its advantages over other alternatives. This article examines why batteries are the future of mobility and play a key role for renewable energies.
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.
Lithium-ion battery cells degradation

Modeling Particle Versus SEI Cracking in Lithium-Ion Battery Degradation

This work identifies and systematically compares three different SEI interaction theories, and applies them to experimental degradation data from a commercial lithium-ion cell. It shows that SEI delamination without any cracking of the active particles, and SEI microcracking, where cycling only affects SEI growth during the cycle itself, are both unlikely candidates.
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.