BT-Lab® Software Suite - BioLogic
Unlock Efficiency and Reliability in Battery Testing with BT-Lab® Software Suite
Designed to meet the needs of modern battery testing laboratories, the BT-Lab® Software Suite by BioLogic offers a comprehensive software solution, enabling efficient battery cycling and in-depth analysis. This user-friendly suite supports a wide range of testing techniques and ensures accurate, reliable experiments with its embedded BT-Test™ continuous monitoring.
Uncompromising Reliability and Powerful Data Analysis
Embedded with BT-Test™, the suite continuously monitors battery testing experiments to ensure consistent, accurate outcomes. Coupled with BT-Analysis™, it provides a streamlined process for the rapid interpretation of complex datasets, tailored to user-defined settings. This makes it an indispensable tool for researchers and engineers looking for deep insights into battery behavior and performance.Built for Comprehensive Battery Analysis
With features like native EIS, the BT-Lab® Suite equips professionals with essential tools for a deeper understanding of electrochemical properties and performance metrics. From setting up and running tests through real-time monitoring to sophisticated batch data processing, this software suite is designed to boost efficiency and productivity in battery research and testing labs.Technical information
BT-Test™ acts as the central hub for designing, running, and monitoring battery testing experiments. It provides a user-friendly interface to configure various testing techniques, including:
- Constant Current / Voltage/ Power / Load
- Voltage / Current Scan
- DCIR Direct Current Internal Resistance
- G-ACIR Galvano Alternating Current Internal Resistance
- Galvano / Potentio EIS
- Loop (up to 4 loops possible)
- Rest
- Up to ten variables in the CALCULATE task
- Arbitrary User Profile (AUP)
- 128 steps
- Up to 4 limits per step
- Up to 4 recording conditions per step
BT-Test™ allows for complex testing profiles with up to 128 steps, each containing 4 user-defined limits and 4 distinct recording conditions.
It also offers real-time data access and monitoring, so researchers can “modify on the fly” any running experiment or dynamically adapt tests based on measured values and pre-defined variables. This flexibility ensures experiments are optimized to gain deeper insights into battery behavior.
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