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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May 31, 2023
How energy storage systems are used
As related costs decrease and deployment options increase, more and more, energy storage systems (ESS) are becoming essential for sustainable energy production. The ability to store energy as well as supply it makes the technology suitable for multiple use cases. Understanding all the possible use cases for ESS makes that attractiveness even clearer.
Article
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March 27, 2023
In-life mobility solutions
Most fleet managers in the public sector, and operators of larger commercial fleets are now opting for electric vehicles. Nevertheless, there are still some concerns about this new technology regarding battery failure costs. This is when battery analytics becomes a key-value driver to unleash the full potential of battery-powered fleets.
Article
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March 27, 2023
De-risk deployment & operations of energy storage systems
On average battery energy storage systems are only available 82% of the time. Many issues however can already be detected before deployment, in the commissioning phase. The article explains the advantages of digital commissioning, like a quicker analysis and more detailed insights into KPIs and potential manufacturing failures.
Article
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December 23, 2022
Battery industry 2023: More sustainability, safety and independence
Battery industry predictions for 2023 by Dr. Matthias Simolka, Product Manager Energy Solutions at TWAICE.
Article
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November 9, 2022
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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Article
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October 11, 2022
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.
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.
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.