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
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Article
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April 10, 2024
TWAICE Vision Summit 2024: AI is the key to a sustainable battery life cycle
Daniela Rittmeier explains how artificial intelligence and data-driven models can be used to achieve a sustainable battery lifecycle
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Article
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April 10, 2024
TWAICE Vision Summit 2024: Availability of grid scale batteries
Quentin Scrimshire analyzes the differences between ERCOT and U.K. grid availability rates
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Article
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April 10, 2024
TWAICE Vision Summit 2024: Battery software is the key to sustainable future
TWAICE founders Stephan Rohr and Michael Baumann explain how battery analytics software can contribute to sustainable development
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Article
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April 10, 2024
TWAICE Vision Summit 2024: The influence of cell designs on battery aging
Sophie Solchenbach shows that lithium plating is caused by electrolyte motion in one of their research cells.
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April 10, 2024
TWAICE Vision Summit 2024: Battery health and EVs
Richard Mohr explains the importance of battery health in evaluating electric vehicle performance
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Article
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April 10, 2024
TWAICE Vision Summit 2024: Rapid Operational Validation Initiative
Susan Babinec explains the U.S. Department of Energy's plan to accelerate the transition from laboratory to mass development
Whitepaper
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January 20, 2022
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.
Whitepaper
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June 3, 2020
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.
Research Paper
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February 14, 2023
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.
Research Paper
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July 13, 2022
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.
Research Paper
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December 2, 2021
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).
Research Paper
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September 2, 2021
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.
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Research Paper
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November 23, 2020
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.