Wei Zhongbao, professor and doctoral supervisor of the School of Machinery and Vehicle, Beijing Institute of Technology, was selected as a National high-level Young talent, the World''s Most …
Zhongbao Wei''s research works | Beijing Institute of Technology ...
Zhongbao Wei''s 11 research works with 14 citations and 163 reads, including: A novel energy management strategy for hybrid electric bus with fuel cell health and battery thermal- and …
Deep reinforcement learning-based energy management of hybrid battery …
DOI: 10.1016/J.EST.2021.102355 Corpus ID: 233572860; Deep reinforcement learning-based energy management of hybrid battery systems in electric vehicles @article{Li2021DeepRL, …
Zhongbao Wei | IEEE Xplore Author Details
He is currently a Professor in vehicle engineering with the National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China. He has authored more than …
Zhongbao
Dr. Zhongbao Wei received the B.Eng. degree in 2010 and the M.Sc. degree in 2013 from Beihang University in China, and Ph.D. degree in Electrical Engineering in 2016 from Nanyang …
Thermal issues about Li-ion batteries and recent progress in battery ...
Zhongbao Wei. Beiijng Institute of Technology; Weidong He. ... achieving superior control performance and reducing energy consumption. The battery pack temperature …
Zhongbao Wei()
Battery-involved energy management for hybrid electric bus based on expert-assistance deep deterministic policy gradient algorithm
Edge computing for vehicle battery management: Cloud-based …
A deep learning algorithm-based cloud data mining and battery modeling method is developed to estimate the voltage and energy state of the battery. The accuracy of the established cloud …
Zhongbao WEI | Professor | Doctor of Philosophy | School of …
In this paper, we propose an energy management strategy based on deep reinforcement learning for a hybrid battery system in electric vehicles consisting of a high-energy and a high-power...
Zhongbao Wei
In this paper, we propose an energy management strategy based on deep reinforcement learning for a hybrid battery system in electric vehicles consisting of a high-energy and a high-power …
China''s battery electric vehicles lead the world: achievements in ...
The increase in power battery energy density was accompanied by higher requirements for vehicle safety. Since 2020, Tesla, XPENG, and other automotive companies …
China''s battery electric vehicles lead the world: achievements in ...
To systematically solve the key problems of battery electric vehicles (BEVs) such as "driving range anxiety, long battery charging time, and driving safety hazards", China took the lead in...
Machine learning-ba sed fast charging of lithium-ion battery by perceiving and regulating internal microscopic states. Energy Storage Materials. 2023;56:62-75. [3] Wei Z, He H, Pou J, Tsui K-L,...
Zhongbao Wei()
Zhongbao Wei() ... Battery-involved energy management for hybrid electric bus based on expert-assistance deep deterministic policy gradient algorithm. J Wu, Z Wei, K Liu, Z Quan, …
Zhongbao Wei()
Battery-involved energy management for hybrid electric bus based on expert-assistance deep …
Deep reinforcement learning-based energy management of hybrid battery ...
The energy source of BEVs on the market is generally composed of a single battery type. Its energy and power capability relies on the specific cell type, which usually …
Deep reinforcement learning-based energy management of hybrid battery …
In this paper, we propose an energy management strategy based on deep reinforcement learning for a hybrid battery system in electric vehicles consisting of a high-energy and a high-power …
Machine learning-ba sed fast charging of lithium-ion battery by perceiving and regulating internal microscopic states. Energy Storage Materials. 2023;56:62-75. [3] Wei Z, He H, Pou J, Tsui K …
Cloud-based health-conscious energy management of hybrid battery …
In order to fulfill the energy and power demand of battery electric vehicles, a hybrid battery system with a high-energy and a high-power battery pack can be implemented as the energy source. …
Smart Battery Management for Enhanced Safety | SpringerLink
It is well recognized that the battery safety and management are the kernel of energy storage, renewable utilization, and low-carbon society, which have been highly popular in recent years. …