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Insights from battery experts

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TWAICE Vision 2022 battery dark lights

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.
TWAICE Vision 2022 battery dark lights

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.
Residual values cars in a row

Residual values

This article discusses residual values, and how transparency into battery health is crucial for improving the residual values of electric vehicles.‚Äč
electric vehicle charging headlights

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 health over its entire lifetime, makes determining accurate battery SoH a challenge. However, these barriers can be overcome by deploying battery analytics.
wind turbines on fields sun

Case Study VERBUND

Learn how VERBUND increased profitability of battery energy storage systems by incorporating battery aging into its operating strategy.
solar energy storage solar panels snow mountains

4 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 show 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.

Whitepaper: Protect aftersales profits: Start with accurate and reliable insights into battery health

Battery health is relevant for so many different aftersales processes for OEMs, including discussions regarding warranty payouts, providing excellent customer service, swapping batteries on time, and more. Given the high costs of batteries, decision processes regarding warranty discussions, swapping decisions and accrual adjustments involve enormous flows of cash and financial risks. Without access to reliable and precise information on battery health, these vital decisions are made based on guesswork or imprecise battery data. 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.
energy storage system safety solar panels dusk

Whitepaper - 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.
electric bus charging in city

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.
wind turbine over fields sun

LFP in energy storage

Lithium-ion batteries play an essential role in the transition to renewable energies and in generating electricity from more reliable and sustainable technologies. Even though NMC is currently the most mature existing technology, and it is therefore widely used, especially in the automotive industry, LFP technology is increasing in popularity due to cost and safety advantages.
Wind turbines over forest electricity

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.
Battery cell testing in the TWAICE battery lab for battery modeling

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.
TWAICE battery electric vehicle

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.
cell testing in the TWAICE battery research center

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.
TWAICE testing simulation, Batteriemodell-Bibliothek

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).