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
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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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April 8, 2024
Improving the accuracy of battery models using the open-circuit-voltage (OCV) curve
The OCV is a key element in electric models of lithium-ion batteries and describes the thermodynamic voltage at equilibrium. In this article, we describe how considering OCV aging is vital when designing and manufacturing electric cars.
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February 18, 2024
Five surprising facts about batteries
International Battery Day is held on February 18, the birthday of the inventor of the modern battery, Alessandro Volta. To help mark the occasion, we’ve compiled five astounding facts about batteries.
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December 15, 2023
BMS vs Analytics
The lack of a standardized approach on how State of Health (SoH) should be calculated and the fact that on-board battery management systems (BMS) alone are not sufficient in assessing battery safety are highlighting the need for battery analytics.
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December 8, 2023
5 Steps to Maximize the Value of Battery Energy Storage Systems
This article walks you through some of the most common steps when considering the deployment and operation of a battery storage system, and shows you the power of data monitoring, smart algorithms, and simulations to maximize the economic return of battery energy storage systems throughout their lifetime across multiple revenue streams.
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November 10, 2023
Electric vehicle safety and reliability
Battery safety and reliability are essential to OEMs and operators. Why is battery intelligence needed to maintain a safe and reliable operation? Why is a battery management system not enough? The article explains the complexity of EV batteries.
Whitepaper
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March 25, 2024
Batteries and their Global Warming Potential: a lifecycle view
Lithium-Ion-Batteries are a key technology for green energy, mobility, and for this reason a key technology to mitigate climate change. However, batteries have a significant environmental impact. This impact is created along various steps in the lifecycle, e.g. during the extraction of raw materials or production. This white paper will explore the various stages of a battery's life cycle and how they contribute to its overall Global Warming Potential (GWP).
Whitepaper
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January 9, 2024
Improve the safety, availability and performance of your battery energy storage systems
Battery energy storage systems (known as BESS or ESS) are essential for accelerating the shift towards green energy. They are now an integral part of the electricity grid across the globe, meaning that their safety, availability and performance is more important than ever.
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September 27, 2023
Safeguard electric vehicle fleets with battery analytics
There are a complex variety of causes of reliability and safety problems with electric vehicle batteries. In this whitepaper, we explore EV battery safety and reliability concerns, potential causes of issues, and how battery analytics can help overcome these challenges.
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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.
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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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November 25, 2022
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.
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.
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.
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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.
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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).
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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.