A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles-Reference-Cited by-同舟云学术

A Real-Time Prognostic-Based Control Framework for Hybrid Electric Vehicles

Published:2023 Issue: Volume:11 Page:127589-127607
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Timilsina Laxman¹^ORCID,Hoang Phuong H.²^ORCID,Moghassemi Ali¹^ORCID,Buraimoh Elutunji¹^ORCID,Chamarthi Phani Kumar¹^ORCID,Ozkan Gokhan¹^ORCID,Papari Behnaz¹^ORCID,Edrington Christopher S.¹^ORCID

Affiliation:

1. Holcombe Department of Electrical and Computer Engineering, Real-Time COntrol and Optimization Laboratory (RT-COOL), Clemson University, Clemson, SC, USA

2. Operation Technology Inc., Irvine, CA, USA

Funder

Clemson University’s Virtual Prototyping of Autonomy Enabled Ground Systems (VIPR-GS) under Cooperative Agreement with the U.S. Army DEVCOM Ground Vehicle Systems Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/6287639/10005208/10318149-aam.pdf

Reference51 articles.

1. A Rule-Based Strategy for a Series/Parallel Hybrid Electric Vehicle: An Approach Based on Dynamic Programming

2. Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles

3. Energy Management Strategy for HEVs Including Battery Life Optimization

4. Hierarchical Sizing and Power Distribution Strategy for Hybrid Energy Storage System

5. A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles

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