Frequency and time domain modelling and online state of charge monitoring for ultracapacitors.

Ultracapacitors are common power sources for new energy vehicles with the advantage of providing high current and power. Modelling and state of charge (SOC) estimation of ultracapacitors are still a research focus. In this study, a fractional order model (FOM), which is derived from the analysis of electrochemical impedance spectroscopy, is established for ultracapacitors and validated in frequency and time domains. After analyzing characteristics of an ultracapacitor and its open circuit voltage, the established FOM is combined with a fractional order Unscented Kalman filter to realize SOC estimation for ultracapacitors. Results show that the proposed method can estimate SOC more accurately than traditional SOC methods. Furthermore, an online joint estimation method for SOC and FOM parameters is proposed and validated by a hardware-in-the-loop platform, indicating that the FOM can be used for onboard applications. • A fractional order model is proposed using distribution of relaxation times. • The proposed fractional order model is validated in frequency and time domains. • A joint parameter and SOC estimation method is proposed for fractional order model. • A hardware-in-the-loop platform is established to validate the model and method. [ABSTRACT FROM AUTHOR]