T16.4 - Combined Data Driven and Online Impedance Measurement-Based Lithium-Ion Battery State of Health Estimation for Electric Vehicle Battery Management Systems

A single frequency impedance measurement and preinstallation battery EIS data-driven technique is proposed for precise estimation of battery SOH in real-time without implementing EIS in electric vehicle BMS. A Series of laboratory experiments are conducted to collect EIS data at different states of charge and temperatures. After critical analysis of the data, 30% SOC and 1 Hz frequency is considered for measuring the impedance during the charging period for SOH estimation in real-time. The proposed SOH estimation technique is highly accurate for all practical purposes BMS while at the same time it is convenient, simple, cost-effective, and does not require any historical usage data.