A Prognostic Based Control Framework for Hybrid Electric Vehicles

  • Phuong H. Hoang
  • , Gokhan Ozkan
  • , Payam Badr
  • , Laxman Timilsina
  • , Christopher Edrington

Research output: Contribution to journalConference articlepeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish
JournalSAE Technical Papers
DOIs
StatePublished - 2022
Externally publishedYes
EventSAE 2022 Annual World Congress Experience, WCX 2022 - Virtual, Online, United States
Duration: Apr 5 2022Apr 7 2022

Funding

This work was supported by the Simulation Based Reliability and Safety Program for modeling and simulation of military ground vehicle systems, under the technical services contract No. W56HZV-17-C-0095 with the U.S. Army DEVCOM Ground Vehicle Systems Center (GVSC). This document was approved for public release; distribution unlimited (OPSEC 5878).

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