Case 1: EIS Analysis--Different Cell Impedance Analysis.
High-frequency EIS impedance range: 0.01Hz~100kHz, meeting the high-frequency impedance test requirements of 10mΩ~1kΩ level batteries.
Compared with the EIS test results of well-known foreign electrochemical workstations, the error is within5%
Case 2: Cell Cycle Impedance Test.
Coin cell Cycle EIS Test: 0.01Hz~100kHz, EIS test every 10% SOC
Rct decreases as SOC increases;
Rct increases as DOD increases
Case 3: Accurate DCIR Performance.
DCIR analysis of Coin Cell:
Three devices with different voltage accuracies were used to perform DCIR (Direct Current Internal Resistance) testing on five groups of coin cells, with data points collected every 0.1 seconds.
The results demonstrated that higher voltage accuracy yields better consistency in the DCIR of coin cells.
Case 4: CV(Cyclic Voltammetry) to Evaluate Materials Properties.
Evaluation of the electrochemical stability window of electrode materials:
The peak current of the reversible reduction is proportional to the square root of the scan rate.
It is consistent with the CV (Cyclic Voltammetry) curves obtained from the electrochemical workstation.
Case 5: dQ/dV Curves to Evaluate Material Phase Changes.
dQ/dV Curve Analysis:
Curve Smoothness:
High-precision equipment: dQ/dV curves are smooth and continuous, capable of capturing subtle electrochemical changes.
Low-precision equipment: Curves exhibit noise or discontinuities, with difficulty in accurately identifying detailed features.
Electrochemical Reaction Characteristics:
High-precision equipment: Clearly reveals characteristic peaks of multi-stage reactions in the battery, uncovering material phase transitions or side reactions.
Low-precision equipment: Characteristic peaks are obscured by measurement noise, prone to missing critical information.
In dQ/dV curve analysis, high-precision equipment is crucial for studying electrochemical details, improving data reliability, and identifying material characteristics. Low-precision equipment can perform basic testing but may miss critical details, especially in high-demand research scenarios.
Case 6: Charge-discharge Evaluation of Materials Gravimetric Capacity.
Battery Materials Gravimetric Capacity Testing:
Gravimetric capacity tests were conducted on eight graphite half-cells, demonstrating better consistency in specific capacity!
Case 7: Evaluation of Coulombic Efficiency in Cells via Charge & Discharge Testing.
Coulombic Efficiency Testing:
A lifetime prediction model based on coulombic efficiency can forecast battery capacity degradation. For effective lifetime prediction, the accuracy must be maintained at least at 1‱, with noise interference kept below 10 ppm.
Case 8: Evaluation of Cells Self-Discharge Under Constant Voltage Charging.
High precision supports leakage current testing of large capacity and low internal resistance cells
Replace the time-consuming and labor-intensive solution of measuring K value, enabling faster and more accurate monitoring of battery cell self-discharge characteristics.