Design and Control of a Maximum Power Point Tracking System for a Fuel-Cell-Battery Hybrid Electric Vehicle-Reference-Cited by-同舟云学术

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Design and Control of a Maximum Power Point Tracking System for a Fuel-Cell-Battery Hybrid Electric Vehicle

Published:2024-06-19 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE Transportation Electrification Conference and Expo (ITEC)
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Author:

Casildo Valeria Juarez¹,Golder Anindita²,Chetri Chandan²,De Seram Ruvini²,Nochebuna Marco A. Hernandex³,Cervantes Ilse⁴,Williamson Sheldon²

Affiliation:

1. Instituto Politecnico National,CICATA - Queretaro,Queretaro,Mexico

2. Ontario Tech University,Electrical and Computer Engineering Dept.,Oshawa,Canada

3. Instituto Mexican del Transporte,Queretaro,Mexico

4. Instituto Politecnico National,Instituto Politecnico Nacional,Queretaro,Mexico

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598816/10598836/10598980.pdf?arnumber=10598980

Reference15 articles.

1. Nonlinear Model Predictive Control for the Energy Management of Fuel Cell Hybrid Electric Vehicles in Real Time

2. Energy Management Strategy of Fuel Cell Electric Vehicles Using Model-Based Reinforcement Learning With Data-Driven Model Update

3. Impact of Energy Management Strategies on Hydrogen Consumption and Start-up/Shut-down Cycles in Fuel Cell-Ultracapacitor-Battery Vehicles

4. Fuzzy Based Hybrid Control Topology for Fuel Cell and Battery Powered EV

5. Power Sharing Control Algorithm for Direct Integration of Fuel Cells in a Dual-Inverter Electric Vehicle Drivetrain

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