ElS Test of Battery With Large Capacity & Low Internal Resistance.
IEST’s BIT6000 can easily test the EIS of batteries with large capacity (2Ah~1000Ah) and low internal resistance (0.05mΩ~100mΩ). We also support customization various testing fixtures and automation testing equipment.
Note: The EIS test frequency range can be adjusted according to the production line progress and process section
Integration the EIS Test with Cycler.
EIS under different SOH & dynamic EIS or operando EIS
Coin cell Cycle EIS Test: 0.01Hz~100kHz, EIS test every 10% SOC
1. IEST BIT6000 can be integrated with any cycler. Users can first use the cycler tester to perform the cyclic aging on the battery, and BIT6000 can automatically perform the EIS testing under different SOH states, which can save the switching time between ”temperature adiustment ⇔ charge and discharge instrument ⇔ electrochemical workstation”
2. IEST BIT6000 can also perform the EIS testing during the charging & discharging process, i.e., dynamic EIS or operando EIS.
EIS Test Before Module Assembly (Battery Consistency Screening) .
For battery manufacturers producing and assembling modules/packs, EIS testing can be used to check the quality and consistency of battery in the same module/pack.
For EV/energy-storage manufacturers sourcing batteries externally, EIS testing ensures incoming battery quality to maintain the consistency of battery in the same module/pack.
Traditional Battery Sorting Method
lEST's Innovative Battery Sorting Method
SOH Rapid Estimation (Cascade Utilization).
Traditional battery grading and cascade utilization:
A batch of recycled batteries
Charge and discharge the batteries
Grouping and tiered utilization based on capacity
Three Major Disadvantages:
Long grading time
High power consumption
Many channels occupied
IEST’s Rapid Grading Solution:
A batch of recycled batteries
Perform ElS test on the batteries
According to the correlation model between ElS and capacity, conduct rapid capacity division
Major Advantages:
As the battery health (SOH) decreases, its EIS test results will also change accordingly.
SOH Estimation Accuracy<5% (Big Data Modeling Required)
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