A Prognostic Based Control Framework for Hybrid Electric Vehicles 2022-01-0352
Electrified transportation has received significant interest recently because of sustainable and clean energy goals. However, the degradation of electrical components such as energy storage systems raises system reliability and economic concerns. In this paper, a prognostic-based control strategy is proposed for hybrid electric vehicles (HEVs) to abate the degradation of energy systems. Degradation forecasting models of electrical components are developed to predict their degradation paths. The predicted results are then used to control HEVs in order to reduce the degradation of components.
Citation: Hoang, P., Ozkan, G., Badr, P., Timilsina, L. et al., "A Prognostic Based Control Framework for Hybrid Electric Vehicles," SAE Technical Paper 2022-01-0352, 2022, https://doi.org/10.4271/2022-01-0352. Download Citation
Author(s):
Phuong H. Hoang, Gokhan Ozkan, Payam Badr, Laxman Timilsina, Christopher Edrington
Affiliated:
Clemson University
Pages: 8
Event:
WCX SAE World Congress Experience
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Hybrid electric vehicles
Energy storage systems
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