A Long‐term Energy Management Strategy for Fuel Cell Electric Vehicles Using Reinforcement Learning-Reference-Cited by-同舟云学术

A Long‐term Energy Management Strategy for Fuel Cell Electric Vehicles Using Reinforcement Learning

Published:2020-10-27 Issue:6 Volume:20 Page:753-761
ISSN:1615-6846
Container-title:Fuel Cells
language:en
Short-container-title:Fuel Cells

Author:

Zhou Y. F.¹,Huang L. J.¹,Sun X. X.¹,Li L. H.¹,Lian J.¹

Affiliation:

1. Dalian University of Technology School of Automotive Engineering Faculty of Vehicle Engineering and Mechanics State Key Laboratory of Structural Analysis for Industrial Equipment 116024 Dalian China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Dalian Science and Technology Bureau

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fuce.202000095

Reference36 articles.

1. Economic and Environmental Prospects for Battery Electric‐ and Fuel Cell Vehicles: A Review

2. Optimization-based energy management strategy for a fuel cell/battery hybrid power system

3. Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming

4. Control System Design of Power Tracking for PEM Fuel Cell Automotive Application

5. Thermostatic Control for Series Hydraulic Hybrid Vehicle (SHHV) Energy Management

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