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An Online Degradation Forecasting and Abatement Framework for Hybrid Electric Vehicles Clemson University

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Hoang, Phuong Huu, author.
Contributor:
Badr, Payam Ramezani
Edrington, Christopher S.
Ozkan, Gokhan
Papari, Behnaz
Conference Name:
SAE WCX Digital Summit (2021-04-13 : Live Online, Pennsylvania, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2021
Summary:
The increasing electrification of vehicles raises system reliability concerns as the electrical and electronic components deteriorate faster after an event. In addition, the traditional method of scheduled maintenance is not efficient for managing a fleet of vehicles; because, the degradation processes are distinct in different vehicles. Therefore, integrating an online degradation forecasting and abatement module into a vehicle that is able to assess the vehicle status and predict the degradation process to take timely appropriate actions to reach satisfactory reliability and long-term goals, is valuable. Quantifying uncertainty is one of the main challenges of degradation forecasting; because, the degradation process of a vehicular system is distinct. This paper proposes an online degradation forecasting framework to predict the degradation processes to reallocate energy sources in the system, obtaining long-term goals while adhering to the reliability requirements. The proposed method consists a sequence of blocks: 1) representation, 2) combination, 3) propagation and 4) decision making to reliably quantify uncertainty
Notes:
Vendor supplied data
Publisher Number:
2021-01-0161
Access Restriction:
Restricted for use by site license

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