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.
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Insights
Article
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June 28, 2024
EU Battery Passport: Performance and durability data
The EU Battery Passport is coming up. TWAICE is part of the Battery Pass Consortium and advises on the performance and durability parameters. This article summarizes the current landscape when it comes to the requirements for performance and durability data for the Battery Passport.
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Article
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June 28, 2024
Battery second life
Prolonging the lifespan of batteries through second life applications is a promising strategy to lower CO2 emissions. The battery second life ecosystem is manifold with diverse stakeholders including automotive OEMs, integrators, battery energy storage system (BESS) operators, insurance providers, battery cell manufacturers, recycling experts, and (technology) service providers. Among these, companies like TWAICE play a pivotal role by providing crucial analytics that guide the decision-making process in battery repurposing and reuse.
Article
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June 17, 2024
Performance Manager: improve BESS performance & secure revenue
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.
Article
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April 22, 2024
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
Article
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April 10, 2024
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.
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Article
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April 10, 2024
TWAICE Vision Summit 2024: Innovation in battery modeling
David Howey explains how data-driven models can help achieve efficient battery design.
Whitepaper
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September 27, 2023
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.
Whitepaper
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August 17, 2023
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.
Whitepaper
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February 21, 2023
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.
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Whitepaper
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October 25, 2022
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.
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Whitepaper
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May 11, 2022
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.
Whitepaper
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May 3, 2022
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.
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Research Paper
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September 17, 2024
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.
Research Paper
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June 11, 2024
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.
Research Paper
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March 11, 2024
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.
Research Paper
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December 8, 2023
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.
Research Paper
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June 9, 2023
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.
Research Paper
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April 12, 2023
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.