Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 68, Issue 12, Pages 11483-11491Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2019.2937130
Keywords
Data fusion; fuzzy logic controller; health-conscious energy management; hybrid electric vehicle; prognostics-enabled decision making
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Funding
- region Bourgogne Franche-Comte, France [2016Y-04574]
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In this paper, a health-conscious energy management strategy based on prognostics-enable decision-making in the framework of prognostics and health management has been proposed for the studied fuel cell hybrid electric vehicle. Fuzzy logic controllers have been optimized by off-line genetic algorithm under different degradation states and corresponding confidence factors have been allocated to them according to the on-line health state classification results. Then, the parameters of the off-line tuned fuzzy logic controllers are fused together based on Dempster-Shafer data fusion theory in order to calculate the on-line used fuzzy rules. Simulation results have showed that the proposed approach can mitigate the power source degradation and save the economic cost.
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