Work

Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle

Year: 2019

Type: article

Source: Applied Energy

DOI: 10.1016/j.apenergy.2019.113708

Authors: Xuefeng Han, Hongwen He, Jingda Wu, Jiankun Peng, Yuecheng Li

Institutions: Beijing Institute of Technology, China North Industries Group Corporation (China)

Language: English

Topic: Electric and Hybrid Vehicle Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, China Postdoctoral Science Foundation, National Key Research and Development Program of China

Awards: G2070015541, G4116932997, G5238079831, G6300533760

OpenAlex ID: W2974005385

FWCI: 13.66

Cites: 22

Cited by: 269

Related to: 10