Non-linear bipolar pulse characterization of lithium-ion batteries
This technology is an alternative impedance characterization method that utilizes bipolar-pulse (BIP) circuit models to monitor the status of a lithium-ion battery.
Unmet Need: Simple and efficient method for characterization of lithium-ion batteries
Monitoring and characterizing lithium-ion batteries is crucial for their effectiveness and stability, especially as their applications in renewable energy continue to emerge. Traditionally, electrochemical impedance spectroscopy (EIS) has been used to study and characterize the electrical behavior of batteries and fuel cells. This technique works by applying small voltage signals to the battery at different frequencies and monitoring impedance to provide comprehensive information about the status of the battery. While EIS is a versatile method, it can be very time-consuming, has a complicated experimental setup, and provides limited spatial resolution.
The Technology: Bipolar-pulse (BIP) circuit model for impedance characterization
The technology is an alternative impedance characterization method for monitoring lithium-ion batteries through a bipolar pulse (BIP) equivalent circuit model. This system can robustly capture overpotentials, differences between charging polarities, and voltage effects using a 2-minute charge/discharge pulse technology. The BIP model does not require a linear time-invariant system assumption as with EIS, leading to more accurate data acquisition. Each of the BIP parameters has physical significance, enabling a detailed analysis of transient components. There is no need for prior knowledge regarding the battery’s state of charge, state of health, and temperature effects. As such, this technology has potential for applications in the deployment of energy storage systems such as electric vehicles and new renewable energy grid infrastructure.
Applications:
- Battery monitoring system
- Electric vehicle charging
- Power infrastructure monitoring
- Renewable energy storage
- Decentralization of power grid
Advantages:
- Does not rely on assumptions about linearity
- Provides more accurate data acquisition
- Provides more parameters that hold physical significance
- Avoids requirements of data regarding state of charge, state of health, or temperature
Lead Inventor:
Patent Information:
Patent Pending
Related Publications:
Tech Ventures Reference:
IR CU24091
Licensing Contact: Greg Maskel