Online parameter identification for real-time supercapacitor performance estimation in automotive applications
We developed a real-time adaptive process for supercapacitor performance-estimation. The dynamic model described accurately the SC behavior under real-use tests. Adaptive RLS algorithm with a time-variant forgetting factor for parameter identification. On-line identified internal resistance served as a state of health (SOH) indicator. Results from the adaptive SOH indicator are compared to IEC standard and EIS methods.
supercapacitor dynamic model state of health adaptive estimation hybrid electric vehicle