Resources & Insights
Discover the latest trends, best practices, and innovations in battery manufacturing and quality control
Latest Articles & Resources
The Definitive Guide to Comparing Battery Testing Devices
Selecting the right battery testing device is crucial for accurate research results and efficient development workflows.
Read ArticleHPPC Battery (Hybrid Pulse Power Characterization) Testing
Interested in creating reliable and optimized batteries that thrive in a range of conditions? It starts with Micantis and HPPC Battery testing.
Read ArticleResults Analysis and Taguchi Parameters
Since the Micantis platform captures technical cell design information and pairs it with the test data for the cell, it can generate analyses that relate design characteristics with performance data with very little work from the user.
Read ArticleThe Value of Optimal Design of Experiments (DOE)
"I need you to produce more innovation per unit time." This is a real quote from an industry CEO to his engineers, and a direct statement of the business problem. Learn how optimal Design of Experiments can accelerate battery R&D and help you go to market faster.
Read ArticleBioLogic Potentiostats: Features, Benefits, and Selection Guide
Looking for the ideal tool to support your battery research and development efforts? BioLogic potentiostats stand out as indispensable instruments in electrochemistry.
Read ArticleExploring the Functions: What Does a Potentiostat Do in Electrochemical Experiments?
In the simplest terms, a potentiostat is the brain behind electrochemical experiments. It's a piece of electronic hardware that controls the electric potential between two electrodes, making sure that experiments run smoothly and accurately.
Read ArticleFrom Theory to Practice: Exploring How a Potentiostat Operates
A potentiostat is an instrument used in electrochemistry to control and measure the electrical potential between a working electrode and a reference electrode in a solution.
Read ArticleBattery Modeling
When it comes to battery modeling, there's no magic bullet. The right model for a specific case depends on what questions need to be answered, and which phenomena drive the results of interest.
Read ArticleOptimal DOE Methods
Optimal Design of Experiments (DOE) maximizes knowledge produced for a given number of tests. A design of experiment is simply a table of values where each column corresponds to a control variable, and each row corresponds to a cell design that will be built and tested in the experiment.
Read ArticleComing Soon
Complete Guide to Battery Quality Control
Everything you need to know about implementing effective quality control in battery manufacturing, from incoming inspection to final testing.
AI-Powered Cycle Life Prediction Success Stories
Real examples of manufacturers using machine learning to predict battery performance and reduce testing time by 85%.