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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September 8, 2022
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.
Article
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August 22, 2022
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.
Article
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August 3, 2022
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.
Article
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May 18, 2022
Residual values
This article discusses residual values, and how transparency into battery health is crucial for improving the residual values of electric vehicles.
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Article
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March 24, 2022
Case Study VERBUND
Learn how VERBUND increased profitability of battery energy storage systems by incorporating battery aging into its operating strategy.
Article
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February 18, 2022
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.
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.