Driving Condition Recognition Combined With Stochastic Prediction and Machine Learning and Its Application in Energy Management of Medium Fuel Cell Trucks-Reference-Cited by-同舟云学术

Driving Condition Recognition Combined With Stochastic Prediction and Machine Learning and Its Application in Energy Management of Medium Fuel Cell Trucks

Published:2023-12 Issue:12 Volume:72 Page:15502-15520
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Ji Zhiyong¹^ORCID,Wang Tie¹^ORCID,Sun Xuguang²,Wu Zhongbin¹,Shi Jinhong¹,Chen Dongdong¹^ORCID,Ma Haona¹

Affiliation:

1. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan, China

2. China North Vehicle Research Institute, Beijing, China

Funder

National Natural Science Foundation of China

Shanxi Provincial Basic Research Program Youth Science Research Fund

Shanxi Graduate Education Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10364906/10168284.pdf?arnumber=10168284

Reference36 articles.

1. State of the Art and Trends in Electric and Hybrid Electric Vehicles

2. Electric Powertrain: Energy Systems, Power Electronics and Drives for Hybrid, Electric and Fuel Cell Vehicles [Book Review]

3. Twin delayed deep deterministic policy gradient-based deep reinforcement learning for energy management of fuel cell vehicle integrating durability information of powertrain

4. Intelligent energy management strategy of hybrid energy storage system for electric vehicle based on driving pattern recognition

5. Integrating intelligent driving pattern recognition with adaptive energy management strategy for extender range electric logistics vehicle

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