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

TWAICE Vision Summit 2024 Lakshmi Srinivasan

TWAICE Vision Summit 2024: Battery incidents under scrutiny

Lakshmi Srinivasan explains the causes of energy storage system failures and fires
TWAICE Vision Summit 2024 Miguel Gfall

TWAICE Vision Summit 2024: Why BESS monitoring is crucial

Miguel Gfall explains how the data collected by the BESS can be used to ensure safe operation.
TWAICE Vision Summit 2024 Thomas Raffeiner

TWAICE Vision Summit 2024: Emission-free charging at no cost

Thomas Raffeiner explains why batteries are the best environmentally friendly option for V2G flexibility
Electric car charging

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.
Batteries in front of sun

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.
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 safety are highlighting the need for battery analytics.
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.