Delayed Deep Deterministic Policy Gradient-Based Energy Management Strategy for Overall Energy Consumption Optimization of Dual Motor Electrified Powertrain-Reference-Cited by-同舟云学术

Delayed Deep Deterministic Policy Gradient-Based Energy Management Strategy for Overall Energy Consumption Optimization of Dual Motor Electrified Powertrain

Published:2023-09 Issue:9 Volume:72 Page:11415-11427
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Ruan Jiageng¹^ORCID,Wu Changcheng²^ORCID,Cui Hanghang²,Li Weihan³^ORCID,Sauer Dirk Uwe³^ORCID

Affiliation:

1. Beijing University of Technology, Beijing, China

2. College of intelligent machinery, Department of materials and manufacturing, Beijing University of technology, Beijing, China

3. Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Aachen, Germany

Funder

National Key Research and Development Program of China

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/ielx7/25/10254672/10093930.pdf?arnumber=10093930

Reference36 articles.

1. Efficient multi-objective optimization of gear ratios and motor torque distribution for electric vehicles with two-motor and two-speed powertrain system

2. Energy consumption analysis of a novel four-speed dual motor drivetrain for electric vehicles

3. Shifting strategy and energy management of a two-motor drive powertrain for extended-range electric buses