Uncertainty-Aware Energy Management Strategy for Hybrid Electric Vehicle Using Hybrid Deep Learning Method-Reference-Cited by-同舟云学术

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Uncertainty-Aware Energy Management Strategy for Hybrid Electric Vehicle Using Hybrid Deep Learning Method

Published:2022 Issue: Volume:10 Page:63152-63162
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Tao¹^ORCID,Zhao Chunqing¹,Sun Xiaoxia¹,Lin Min¹,Chen Qidi¹

Affiliation:

1. China North Vehicle Research Institute, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09795012.pdf?arnumber=9795012

Reference43 articles.

1. Adaptive energy management for real driving conditions via driving cycle transformation and reinforcement learning;teng;arXiv 2007 12560,2018

2. Detecting Deception from Gaze and Speech Using a Multimodal Attention LSTM-Based Framework

3. An Energy Management Method of Electric Vehicles Based on Stochastic Model Predictive Control

4. Time-Efficient Stochastic Model Predictive Energy Management for a Plug-In Hybrid Electric Bus With an Adaptive Reference State-of-Charge Advisory

5. Hierarchical optimal energy management strategy of hybrid energy storage considering uncertainty for a 100% clean energy town

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