Abstract

The actual capacity of the battery is an important indicator for calculating the health state and the remaining power-driven mileage. In this paper, an adaptive model algorithm based on equivalent circuit model is used to estimate the capacity of battery. First, a reasonable and effective second-order resistancecapacitance (RC) network equivalent circuit model is established. Second, the adaptive model algorithm based on an equivalent circuit model is employed. The capacity is calculated by the ratio between the accumulated ampere hour (Ah) and state of charge (SOC) difference. The SOC is obtained accurately mainly by the adaptive extended Kalman filter (AEKF). Finally, a comprehensive experimental schedule is designed to acquire the test data and verify the proposed method. The results manifest that after the estimated results tend to be stable, and the absolute error of SOC and capacity estimation are less than 1% and 0.1 Ah, respectively.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.