State-of-the-art Ultrasound Sensing Techniques for Battery State of Health Estimation and Failure Analysis
Abstract
ABSTRACT:Lithium-ion (Li-ion) batteries are being used in a wide range of applications, including various consumer products (e.g., mobile phones and laptop computers), electric vehicles, and other applications (e.g., stationary grid storage). Although Li-ion batteries provide superior performance in terms of higher energy, higher voltage, and less maintenance than the other battery chemistries, they are prone to safety hazards. Numerous types of abuse conditions, including thermal abuse, electrical abuse, environmental conditions, and manufacturing defects, can cause a loss of battery performance, and even battery thermal runaway, leading to fires and explosions. An approach to address system safety as well as performance is to implement health management techniques that provide advance warning of faults to help prevent battery failures. Conventional battery management systems (BMS) employ sensors that monitor and collect data, such as voltage, current, and temperature. However, these parameters lag behind the root cause offailure. By the time the extreme changes in voltage and temperature can be observed, it is too late to prevent the occurrence of catastrophic failure. Research has shown that modeling of this data can be used to perform battery diagnostics and prognostics, but are often limited in terms of their ability to provide advance warning about internal changes, such as delamination, gas generation,and electrode ruffling. It usually takes time for manufacturing defects, damage caused by intermittent abuse, and accumulated degradation during normal operation to result in a complete failure of the battery. For example, in the recent case of the Samsung Galaxy Note 7 battery fires, the stress at the cell corners resulted in non-uniform current flows where plating and dendrites arelikely to occur, leading to thermal runaway and fires. These incidents show that new sensing solutions are needed that can detect battery failure early, accurately, reliably and cost-effectively. To meet this need, ultrasound techniques are being considered, and have preliminary success in battery non-destructive testing, diagnostics and prognostics, and failure analysis. DURIP funding will enable the acquisition of a multi-axes non-destructive testing (NDT) SAM, which is a compact NDT scanner, specifically designed for research and universities. This instrument would complement and enhance the existing testing capabilities of the Center for Advanced Life Cycle Engineering (CALCE) to identify and analyze the root cause of failure for many electrochemical components, electronic products and structural components, including batteries, fuel cells, supercapacitors, insulated gate bipolar transistors, resistors, and pipelines. This instrument would also significantly improve CALCE~s ability to support current and anticipated future research objectives of interest to the Department of Defense (DoD), and to provide laboratory facilities in which students can acquire valuable hands-on experience with techniques critical to the analysis and development of materials and devices in the coming years.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 10, 2018
- Source ID
- N000141812228
Entities
People
- Michael G. Pecht
Organizations
- Office of Naval Research
- United States Navy
- University of Maryland