Improved SOC and SOH Estimation using Dual Extended Kalman Filter with Corrected Current
Nadana Ayzah Azis and Endra Joelianto
Instrumentation and Control Research Group, and National Center for Sustainable Transportation Technology
Institut Teknologi Bandung
Bandung, Indonesia
Abstract
The utilization of renewable energy in transportation has been a trend nowadays. In electric vehicles, for example, the battery pack has become the main energy source to supply the motor. As the main energy source for the vehicles, the management of the battery system becomes important to ensure the availability of the battery. The failure in managing the battery will cause some losses. In order to overcome the problem, various studies in determining the State of Charge (SoC) and State of Health (SoH) of the battery are done. The researchers continue to develop the algorithm that can accurately estimate the SoC and SoH. In this study, the SoC and SoH of the battery are estimated using Dual Extended Kalman Filter that is improved by adding the corrected value of the current. The corrected current will improve the accuracy of the SoC and SoH estimation. The obtained results show the improvement of the accuracy.
Keywords: SoC, SoH, Battery, Dual Extended Kalman Filter, Corrected Current
Topic: Battery Technology and Management System