Abstract
Research on battery prognostics and health monitoring (PHM) is important in many engineering areas, and battery capacity is a good indicator of battery condition, this paper introduces a new approach to predict battery capacity use hybrid ARMA and ANN model. First, two time series forecast models ARMA and ANN are introduced, since these two models have their own shortcoming in forecasting nonlinear and linear time series respectively, hybrid ARMA and ANN model are established in order to combine both advantage of the two and get more precise prediction result. Then capacity data applied in this paper is described, prediction results and errors based on these data and among three models are compared. At last, the conclusion that hybrid model shows the best performance and will provide a new approach to realize battery capacity predictor is given.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
