Intelligent Learning Algorithm and Intelligent Transportation-Based Energy Management Strategies for Hybrid Electric Vehicles: A Review-Reference-Cited by-同舟云学术

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Intelligent Learning Algorithm and Intelligent Transportation-Based Energy Management Strategies for Hybrid Electric Vehicles: A Review

Published:2023-10 Issue:10 Volume:24 Page:10345-10361
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Gan Jiongpeng¹^ORCID,Li Shen²^ORCID,Wei Chongfeng³,Deng Lei¹^ORCID,Tang Xiaolin¹^ORCID

Affiliation:

1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

2. Department of Civil Engineering, Tsinghua University, Beijing, China

3. School of Mechanical and Aerospace Engineering, Queen's University Belfast, BT7 1NN Belfast, U.K

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10271405/10153931.pdf?arnumber=10153931

Reference129 articles.

1. Heuristic Energy Management Strategy of Hybrid Electric Vehicle Based on Deep Reinforcement Learning With Accelerated Gradient Optimization

2. Naturalistic data-driven and emission reduction-conscious energy management for hybrid electric vehicle based on improved soft actor-critic algorithm

3. Deep Deterministic Policy Gradient Based Energy Management Strategy for Hybrid Electric Tracked Vehicle With Online Updating Mechanism

4. Energy management for a hybrid electric vehicle based on prioritized deep reinforcement learning framework

5. A novel energy management strategy of hybrid electric vehicle via an improved TD3 deep reinforcement learning

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2. A unified benchmark for deep reinforcement learning-based energy management: Novel training ideas with the unweighted reward;Energy;2024-10

3. Optimal Rule-Interposing Reinforcement Learning-Based Energy Management of Series—Parallel-Connected Hybrid Electric Vehicles;Sustainability;2024-08-09

4. Integrated Optimization of Component Parameters and Energy Management Strategies for A Series–Parallel Hybrid Electric Vehicle;Automotive Innovation;2024-07-16

5. Leveraging machine learning for efficient EV integration as mobile battery energy storage systems: Exploring strategic frameworks and incentives;Journal of Energy Storage;2024-07

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