Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
703090 | Electric Power Systems Research | 2016 | 8 Pages |
Abstract
In this paper, a new real time energy management strategy for battery/ultra-capacitor hybrid vehicles is proposed. This strategy is based on sharing the total power between the onboard power systems, namely the battery and the ultra-capacitors, using a Nonlinear Auto-Regressive Neural Network (NARNN) as a time series prediction model, and Discrete Wavelet Transform (DWT) as a time-frequency filter. The objective of this strategy is to lengthen the life of the battery. We simulated this new strategy using actual data from a military hybrid vehicle. The results were found to be promising and show the robustness of the proposed method.
Related Topics
Physical Sciences and Engineering
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Energy Engineering and Power Technology
Authors
Mona Ibrahim, Samir Jemei, Geneviève Wimmer, Daniel Hissel,