Deep reinforcement learning-based energy management system enhancement using digital twin for electric vehicles

Y Ye, B Xu, H Wang, J Zhang, B Lawler, B Ayalew - Energy, 2024 - Elsevier
Compared to conventional engine-based powertrains, electrified powertrain exhibit
increased energy efficiency and reduced emissions, making electrification a key goal for the …

Optimization of electromagnetic vibration for integrated electric drive systems based on electric vehicle driving cycle considering energy consumption

Z Sun, J Hu, Z Yao, S Xue - Energy, 2024 - Elsevier
To reduce the vibration of the integrated electric drive system (IEDS) in actual operation
condition and enhance vehicle comfort, the method is proposed to characterize the working …

Energy Management for Hybrid Electric Vehicles Using an Intelligent Recognition Method of Engine Characteristics

Y Chen, C Yang, W Wang, P Gao - IFAC-PapersOnLine, 2024 - Elsevier
Under extreme conditions such as rapid acceleration, the engine speed of hybrid electric
vehicle (HEV) is forced to decrease, making it difficult for the vehicle to meet power …

Deep reinforcement learning based hierarchical eco-driving strategy for a series-parallel hybrid electric truck

R Xue, Y Zhao, Z Wang, Z Wang… - 2023 7th CAA …, 2023 - ieeexplore.ieee.org
It has been well recognized that the development of information technology and the
construction of intelligence infrastructure are becoming better solution to energy …

Temporal Convolutional Networks and Kernel Extreme Learning Machine Ddpg Energy Management Strategy of Hev Based on Robust State Recognition

X Zhou, Z Ma, J Wang, C Wang, W Zhao - Available at SSRN 4984672 - papers.ssrn.com
With the widespread application of hybrid electric vehicles (HEV) in the fields of energy
conservation and emission reduction, optimizing energy management strategies has …