Innovation
As a leader in battery testing, manufacturing, and research, we drive innovation that sets industry standards. For over 30 years, our advanced technologies have transformed battery research and testing, empowering researchers and manufacturers to achieve superior performance and shape the future of energy storage.
Cutting-edge technology and an innovative alternative to the traditional ACIM technique for measuring battery impedance, uses Galvanostatic and AI Prediction Modeling Methods provide distinct advantages without additional equipment is required, shorter test times, and it maintains accuracy comparable to ACIM.
SDCM is essential for evaluating a battery's state of health, predicting its performance, and estimating its lifespan. We have revolutionized this method, making it significantly faster and more accurate while lowering equipment requirements.
Single Battery SDCM
Utilizes a galvanostatic method by applying small amount of DC currents to the cell and record the voltage change rate, then calculate battery's SDC and dynamic capacitance.
Paralleled Battery SDCM
Parallel multiple batteries to reach electrochemical balance faster, one Arbin channel can support multiple batteries run the SDCM simultaneously.
Self-Discharge Current Monitoring
Designed for battery storage / manufacturing / operation. Continuing monitoring cell's SDC along with battery life provides early-detection of problematic cell and prevent hazardous thermo-runaway from happening.
Serial Parallel Cell Formation Structure
Arrange cells with parallel and serial connection during formation process. Each cell's current and voltage are monitored individually in real time. Formation current distributed among paralleled cells naturally based on their real capacity. Higher overall voltage allows for higher regenerative efficiency during discharge. Early-stage detection of cell failure hours/days before cell thermal run away.
