Q1: The larger the battery capacity, the smaller the internal resistance. Traditional electrochemical workstations cannot perform effective testing and they are expensive if used with current amplifiers.
Q2: Diferent batteries can't be distinguished by OCV or 1000Hz AClR alone. How can the batteries be sorted more finely?
Q3: lf there is an abnormality in the battery, how can we quickly locate the production problem? is it a poor welding? Or a poor formation? Or is it a material failure?
Q1: How to judge the consistency of the battery before assembling the battery module? Relying solely on OCV or 1000Hz ACIR is no longer sufficient.
Q2: Are there diferences between the same type of batteries purchased from different manufacturers? Can they be mixed?
Q3: For recycled or disassembled batteries, what is the remaining SOH (State of Health), and how can they be utilized in echelon applications?
Functions & Features:
The EIS test frequency range can be adjusted according to the production line progress and process section
Save the switching time between ”temperature adiustment ←→ charge and discharge instrument ←→ electrochemical workstation”
Using EIS (Electrochemical Impedance Spectroscopy) for refined screening of batteries ensures charge-discharge consistency across all individual cells within a battery module.
Traditional battery grading and cascade utilization:
IEST’s Rapid Grading Solution:
As the battery health (SOH) decreases, its EIS test results will also change accordingly.
SOH Estimation Accuracy<5% (Big Data Modeling Required)
Distribution of Relaxation Times (DRT) analysis is a mathematical method for interpreting EIS spectra. Unlike conventional equivalent circuit fitting, DRT analysis can avoid issues such as:
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