Optimizing fuel economy of fuel cell hybrid electric vehicle based on energy management strategy with integrated rapid thermal regulation-Reference-Cited by-同舟云学术

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Optimizing fuel economy of fuel cell hybrid electric vehicle based on energy management strategy with integrated rapid thermal regulation

Published:2024-06 Issue: Volume:132 Page:107880
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Tian Xiaolong,Tao Fazhan^ORCID,Fu Zhumu,Zhu Longlong,Sun Haochen,Song Shuzhong

Publisher

Elsevier BV

Reference37 articles.

1. Improving fuel economy and performance of a fuel-cell hybrid electric vehicle (fuel-cell, battery, and ultra-capacitor) using optimized energy management strategy;Ahmadi;Energy Convers. Manage.,2018

2. A rule-based energy management scheme for long-term optimal capacity planning of grid-independent microgrid optimized by multi-objective grasshopper optimization algorithm;Bukar;Energy Convers. Manage.,2020

3. Temperature and voltage dynamic control of PEMFC stack using MPC method;Chen;Energy Rep.,2022

4. Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning;Chen;Energy,2022

5. PEM fuel cell system control: A review;Daud;Renew. Energy,2017

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of deep reinforcement learning-based energy management strategies for fuel cell vehicles considering economics, durability and adaptability;Energy;2024-10

2. Deep reinforcement learning with deep-Q-network based energy management for fuel cell hybrid electric truck;Energy;2024-10

3. Comprehensive optimization of fuzzy logic-based energy management system for fuel-cell hybrid electric vehicle using genetic algorithm;International Journal of Hydrogen Energy;2024-09

4. A comparative analysis of optimized gear shifting controls for minimizing fuel consumption and engine emissions using neural networks, fuzzy logic, and rule-based approaches;Engineering Applications of Artificial Intelligence;2024-09

5. Exploring the electrochemical performance of nickel-zinc ferrite nanoparticles for supercapacitor applications;Journal of Materials Science: Materials in Electronics;2024-03

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