Knowledge HUB

Insights from battery experts

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Insights

TWAICE Model Library

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.
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De-risk your BESS projects by keeping track of warranty conditions

What are performance warranties and why are they important in the design, operation and bankability of battery energy storage systems projects? This article answers these questions and shows how our TWAICE Warranty Tracker can minimize risks and ensure a successful business case.
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.​
energy storage system safety solar panels dusk

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.
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.
Electric Bus blue charging

Streamlining e-bus warranty discussions

The automotive sector’s transition to green mobility is challenging the bus operators across the world. That was the case of a major operator of electric buses in the Netherlands, who reached out to ViriCiti and TWAICE regarding our Battery Health Solution to integrate data-driven decision making focused on batteries, to avoid timely and costly warranty discussions.
electric car driving through tunnel art night

The Power of Signalling

What is the potential impact of Battery Health Reports (BHR) on remarketing success of the battery electric vehicle (BEV)? Besides age and mileage, driver profile has a major impact on how long a battery lasts. In the absence of documentation of how a driver has treated the battery, residual value formation remains below its full potential.
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.
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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.
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.