|About this Abstract
||2020 TMS Annual Meeting & Exhibition
||Energy Technologies and CO2 Management Symposium
||Integrated Sensor Network and Battery Management System for State of Health Estimation and Safety Control of Lithium- ion Batteries
||Bing Li, Vikas Tomar, Thomas Adams, Corey Love, Vilas Pol
|On-Site Speaker (Planned)
Despite its wide application, safety and reliability of lithium- ion battery (LIB) remains as public concerns nowadays. There are numerous reports on unexpected LIB failure and accident, including severe capacity drop, explosion, etc. Due to the complex nature of battery composition, structure and working condition, there is limited research relating LIB degradation with change within the batteries. Although battery management systems (BMS) are widely applied, the data collected by BMS is limited and cannot well represent the battery state of health (SOH). In this work, a sensor network was developed with resistance temperature detector, eddy current probe, shunt resistor and BMS chip to provide a comprehensive understanding of SOH degradation during the service in dynamic environment described in NAVSEA 9310 testing standard. The LIB performance degradation and potential failure were correlated with change in battery structure and composition, and a model for SOH estimation and failure prevention was developed.