OpenAlex | Deep reinforcement learning-based multi-objective control of hybrid power system combined with road recognition under time-varying environment

Deep reinforcement learning-based multi-objective control of hybrid power system combined with road recognition under time-varying environment

Work

Year: 2021

Type: article

Source: Energy

Authors Jiaxin Chen, Hong Shu, Xiaolin Tang, Teng Liu, Weida Wang

Institutions Chongqing University, University of Waterloo, Beijing Institute of Technology

Cites: 42

Cited by: 44

Related to: 10

FWCI: 3.461

Citation percentile (by year/subfield): 78.73

Topic: Electric and Hybrid Vehicle Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Sustainable Development Goal Affordable and clean energy

Open Access status: closed

Funders National Natural Science Foundation of China, Natural Science Foundation of Chongqing, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, State Key Laboratory of Mechanical System and Vibration, Fundamental Research Funds for the Central Universities

Grant IDS 52072051, cstc2020jcyj-msxmX0956, 31915003, , 2020CDJ-LHZZ-041