Adaptive Neural Network Predictive Control Design for Hybrid Electric Vehicle with Hardware in the Loop (HIL) Verification-Reference-Cited by-同舟云学术

Adaptive Neural Network Predictive Control Design for Hybrid Electric Vehicle with Hardware in the Loop (HIL) Verification

Published:2021-12-29 Issue: Volume: Page:
ISSN:
Container-title:2021 17th International Computer Engineering Conference (ICENCO)
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Author:

Essa Mohamed El-Sayed M.¹,Lotfy Joseph Victor W.²,Abd-Elwahed M. Essam K.²

Affiliation:

1. Electrical Power and Machines Dept Institute of Aviation Engineering and Technology,Giza,Egypt

2. Institute of Aviation Engineering and Technology,Electronics and Communications Dept.,Giza,Egypt

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9698817/9698827/09698945.pdf?arnumber=9698945

Reference33 articles.

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3. Development of a detailed friction model to predict mechanical losses at elevated maximum combustion pressures;a;SAE Paper 2001-01-0333,2001

4. A New Approach to Evaluate Instantaneous Friction and Its Components in Internal Combustion Engines

5. Fuzzy Gain-Scheduling Proportional–Integral Control for Improving Engine Power and Speed Behavior in a Hybrid Electric Vehicle

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