阮嘉赓｜北京工业大学｜学者主页

2026

High-Performance Path Tracking of a 4WD Autonomous Vehicle Using NMPC with Virtual 4WD Torque Distribution

Duc Hiep Vu, Chih-Keng Chen, Jiageng Ruan

Italian National Conference on Sensors

DOI

2026

Coordinated control framework for energy management of distributed drive electric vehicles with integrated driving safety

Ze-Xuan Han, Jiageng Ruan, He Wan, Zhenpeng Xue

Mechanism and Machine Theory

DOI

2026

High-Adaptability Driving Mode and Torque Distribution Algorithm Design for Multi-Speed Four-Wheel Drive Electric Vehicle Based on Multi-Agent Deep Reinforcement Learning

He Wan, Jiageng Ruan, Shun-Xiang Wang

Sustainability

DOI

2026

Deep reinforcement learning based adaptive trajectory tracking control strategy for four-wheel independent steering vehicles

Ze-Xuan Han, Jiageng Ruan, Jingjing Hu, Ying Li, He Wan, Zhenpeng Xue

Neurocomputing

DOI

2026

Deep transfer learning based energy management strategy for distributed drive electric vehicles considering execution constraints

Zexuan Han, Jiageng Ruan, Tianche Hou, Zhaowen Liang, Kai Liu

Energy

DOI

2026

Coordinated shifting control strategy for heavy-duty electric trucks with multi-speed distributed drive powertrain

Zhenpeng Xue, Jiageng Ruan, Zexuan Han, Wanbo Yu, Baoping Xiong

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering

DOI

2025

The continuous training of machine learning-based energy management strategy for plug-in hybrid electric vehicle, part I: electric driving mode

He Wan, Jiageng Ruan, Jing Xia, Ze-Xuan Han, Ying Li

Energy

DOI

2025

The investigation of reinforcement learning-based End-to-End decision-making algorithms for autonomous driving on the road with consecutive sharp turns

Tongyang Li, Jiageng Ruan, Kai-Xuan Zhang

Green Energy and Intelligent Transportation

DOI

2025

MADDPG-based energy management strategy for multi-mode distributed drive electric bus

Ying Li, Jiageng Ruan, Ze-Xuan Han, Jingjing Hu, He Wan

Mechanism and Machine Theory

DOI

2025

Continuous Learning Energy Management Strategy Design Based on EWC-DDPG for Electric Vehicles

Jiageng Ruan, Jing Xia, Jingjing Hu, He Wan, Ying Li, Yi Qin

Energy

DOI

2025

Energy management strategy design for pure electric buses based on Adaptive-Advanced Neuro-Evolution of Augmenting Topologies

Jiageng Ruan, Zheng Cao, Ying Li, Tianche Hou, Zhaowen Liang

Energy

DOI

2023

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

Jiageng Ruan, Changcheng Wu, Hanghang Cui, Weihan Li, Dirk Uwe Sauer

IEEE Transactions on Vehicular Technology

DOI

2022

The Multi-Objective Optimization of Powertrain Design and Energy Management Strategy for Fuel Cell-Battery Electric Vehicle

Jiaming Zhou, Chunxiao Feng, Qingqing Su, Shangfeng Jiang, Zhixian Fan, Jiageng Ruan, Shikai Sun, Leli Hu

Sustainability，Vol. 14, No. 10

DOI

2020

Investigation of integrated uninterrupted dual input transmission and hybrid energy storage system for electric vehicles

Weiwei Yang, Jiageng Ruan, Jue Yang, Nong Zhang

Applied Energy

DOI

阮嘉赓

精选作品

期刊论文

High-Performance Path Tracking of a 4WD Autonomous Vehicle Using NMPC with Virtual 4WD Torque Distribution

Coordinated control framework for energy management of distributed drive electric vehicles with integrated driving safety

High-Adaptability Driving Mode and Torque Distribution Algorithm Design for Multi-Speed Four-Wheel Drive Electric Vehicle Based on Multi-Agent Deep Reinforcement Learning

Deep reinforcement learning based adaptive trajectory tracking control strategy for four-wheel independent steering vehicles

Deep transfer learning based energy management strategy for distributed drive electric vehicles considering execution constraints

Coordinated shifting control strategy for heavy-duty electric trucks with multi-speed distributed drive powertrain

The continuous training of machine learning-based energy management strategy for plug-in hybrid electric vehicle, part I: electric driving mode

The investigation of reinforcement learning-based End-to-End decision-making algorithms for autonomous driving on the road with consecutive sharp turns

MADDPG-based energy management strategy for multi-mode distributed drive electric bus

Continuous Learning Energy Management Strategy Design Based on EWC-DDPG for Electric Vehicles

Energy management strategy design for pure electric buses based on Adaptive-Advanced Neuro-Evolution of Augmenting Topologies

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

The Multi-Objective Optimization of Powertrain Design and Energy Management Strategy for Fuel Cell-Battery Electric Vehicle

Investigation of integrated uninterrupted dual input transmission and hybrid energy storage system for electric vehicles

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