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

Solar panels in front of an energy storage systems

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.
Electric fleet management

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.
Energy Storage Systems

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.
Green Tech Battery

Battery industry 2023: More sustainability, safety and independence

Battery industry predictions for 2023 by Dr. Matthias Simolka, Product Manager Energy Solutions at TWAICE.
TWAICE Model Library

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.
wind energy storage on fields

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.
EV safety

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.
TWAICE battery lab

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.

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.
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 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.
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).
lithium ion battery labs module, batteriemodell|

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.
impedance of lithium-ion batteries research paper

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.