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 | Wasim Sarwar from Rimac Automobili

This video shows the TWAICE Vision battery analytics conference presentation from Wasim Sarwar - Head of Research & Advanced Engineering at Rimac Automobili.
TWAICE Vision 2022 battery dark lights

TWAICE Vision | Gina Aquilano from ADI

Analog Devices Senior Director of Technology, Gina Aquilano, reveals her vision for the future of batteries' lifecycle and how software can enable a more sustainable battery supply chain.
TWAICE Vision 2022 battery dark lights

TWAICE Vision | Alexander Schabert from ViriCiti

Software is the key for a battery-driven future. In February 2022, TWAICE hosted a conference on this topic. This video shows the presentation from Alexander Schabert - Senior Global Director at ViriCiti.
Residual values cars in a row

Residual values

This article discusses residual values, and how transparency into battery health is crucial for improving the residual values of electric vehicles.​
wind turbines on fields sun

Case Study VERBUND

Learn how VERBUND increased profitability of battery energy storage systems by incorporating battery aging into its operating strategy.
Volta international battery day historical

International Battery Day

The battery is in its second century. And with more car buyers now opting for electric, it seems a good opportunity to recognize what batteries have done for humankind, and the advantages their technology offers the mobility and energy spaces.
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.
cell testing in the TWAICE battery research center

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.
TWAICE testing simulation, Batteriemodell-Bibliothek

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).
lithium ion battery labs module, batteriemodell|

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.
impedance of lithium-ion batteries research paper

Impedance Research Paper

Continuous impedance monitoring provides significant insights into the aging status of a battery. However, the on-line determination of battery impedance parameter for its low-frequency part is a challenging task. This paper provides an algorithm for its determination, which features a novel approach to quantifying the impedance caused by diffusion processes at low frequencies.