Model Prediction Control-Based Energy Management Combining Self-Trending Prediction and Subset-Searching Algorithm for Hydrogen Electric Multiple Unit Train-Reference-Cited by-同舟云学术

Model Prediction Control-Based Energy Management Combining Self-Trending Prediction and Subset-Searching Algorithm for Hydrogen Electric Multiple Unit Train

Published:2022-06 Issue:2 Volume:8 Page:2249-2260
ISSN:2332-7782
Container-title:IEEE Transactions on Transportation Electrification
language:
Short-container-title:IEEE Trans. Transp. Electrific.

Author:

Li Qi¹^ORCID,Liu Puren¹^ORCID,Meng Xiang¹^ORCID,Zhang Guorui²^ORCID,Ai Yuxuan¹,Chen Weirong¹

Affiliation:

1. Department of Electrical Engineering, Southwest Jiaotong University, Chengdu, China

2. CRRC Qingdao Sifang Company Ltd., Qingdao, China

Funder

National Natural Science Foundation

Fok Ying Tong Education Foundation

14th Five-Year Major Science and Technology Research Project of CRRC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6687316/9761278/09706151.pdf?arnumber=9706151

Reference39 articles.

1. Real-time cost-minimization power-allocating strategy via model predictive control for fuel cell hybrid electric vehicles

2. Event-triggered decentralized coordinated control method for economic operation of an islanded electric-hydrogen hybrid DC microgrid

3. A quick evaluating method for automotive fuel cell lifetime

4. Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control

5. A Distributed Performance Consensus Control Strategy of Multistack PEMFC Generation System for Hydrogen EMU Trains

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