A5100360557- Electric Vehicles and Infrastructure
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Vehicle emissions and performance
- Advanced DC-DC Converters
- Magnetic Bearings and Levitation Dynamics
- Electric Motor Design and Analysis
- Autonomous Vehicle Technology and Safety
- Microgrid Control and Optimization
- Advanced Measurement and Detection Methods
- Aluminum Alloy Microstructure Properties
- Aluminum Alloys Composites Properties
- Engineering Applied Research
- Multilevel Inverters and Converters
- Magnetic Properties and Applications
- Astronomical Observations and Instrumentation
- Advanced Welding Techniques Analysis
- Power Systems and Renewable Energy
- Optical Systems and Laser Technology
- Energy, Environment, and Transportation Policies
- Physics of Superconductivity and Magnetism
- Traffic control and management
- Simulation and Modeling Applications
- Radio Wave Propagation Studies
- Salivary Gland Disorders and Functions
Henan Polytechnic University
2025
Hangzhou Medical College
2025
Zhejiang Provincial People's Hospital
2025
Chongqing University
2020-2024
Central South University
2024
Xiangya Hospital Central South University
2024
University of South China
2024
Tianjin University of Technology
2023
Macau University of Science and Technology
2023
Lanzhou University of Technology
2023
Advanced algorithms can promote the development of energy management strategies (EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) with distributed structure significantly improve training efficiency complex environments, and multi-threaded parallel computing provides reliable algorithm basis for promoting adaptability. Dedicated to trying more efficient deep reinforcement (DRL) algorithms, this paper proposed q-network (DQN)-based emission strategy...
Committed to optimizing the fuel economy of hybrid electric vehicles (HEVs), improving working conditions engine, and promoting research on deep reinforcement learning (DRL) in field energy management strategies (EMSs), this article first proposed a DRL-based EMS combined with rule-based engine start–stop strategy. Moreover, considering that both transmission are controlled components, developed novel double DRL (DDRL)-based EMS, which uses Q-network (DQN) gear-shifting strategy...
Abstract The new energy vehicle plays a crucial role in green transportation, and the management strategy of hybrid power systems is essential for ensuring energy-efficient driving. This paper presents state-of-the-art survey review reinforcement learning-based strategies systems. Additionally, it envisions outlook autonomous intelligent electric vehicles, with learning as foundational technology. First all, to provide macro view historical development, brief history deep learning, presented...
Practical vision-based technology is essential for the autonomous driving of intelligent hybrid electric vehicles. In this article, a hierarchical control structure proposed, which combines you only look once-based object detection and learning-based by deep reinforcement learning. After modeling typical car-following scene, leading car detected in image, real-time distance between two cars evaluated measurement. Then, Q-network adopted to learn strategy energy management strategy, achieves...
Autonomous driving is considered one of the revolutionary technologies shaping humanity’s future mobility and quality life. However, safety remains a critical hurdle in way commercialization widespread deployment autonomous vehicles on public roads. Safety concerns require system to handle uncertainties from multiple sources that are either preexisting, e.g., stochastic behavior traffic participants or scenario occlusion, introduced as result processing, application neural networks. Thus, it...
For automobiles, the innovation of autopilot, connected communication, and new energy have been treated as trend. This paper proposed a deep reinforcement learning-based integrated control strategy driven by lane-level high-definition map for hybrid electric vehicles. Firstly, an optimal route with length 1277km from Shanghai to Beijing was determined Google Maps. Based on longitude, latitude, elevation data Earth, driving environment built global speed preplanned based limited safe speed....
Post-weld heat treatment and rolling deformation are used to improve the mechanical properties of 2195-O Al–Li alloy friction stir welding (FSW) joints, effects on grain structure, precipitation behaviors, hardness distribution, tensile performance discussed. Microstructural characterization was conducted using scanning electron microscopy (SEM), backscattered diffraction (EBSD), transmission (TEM). Mechanical were measured by test test. Results show that coarse precipitates subjected...
Osteoarthritis (OA) is a progressive degenerative disorder which severely threatens the quality of life older individuals. OA progression closely related to heightened levels mitochondrial reactive oxygen species (mtROS). Although nanozymes have good ROS-scavenging effect, they cannot precisely scavenge mtROS because immune rejection cell membranes, lysosomal escape, and inability conventional directly target mitochondria. Dual-target were engineered in chondrocytes. We used chondrocyte...
In this study, the phase transformation mechanism during decomposition of undercooled austenite and its effect on deformation behavior a high-strength medium Mn steel were studied. The results indicate that formation heating (α → γ) is relatively fast reaction. However, prior above martensite start (Ms) temperature (γ α) difficult due to high thermal stability. Only occurred final air-cooling stage following 120-h isothermal treatment at 360 °C (slightly Ms). growth laths was limited by...
This study explored the potential therapeutic targets and mechanisms of Danggui Shaoyao San(DSS) in prevention treatment Alzheimer's disease(AD) through transcriptomics metabolomics, combined with animal experiments. Fifty male C57BL/6J mice, aged seven weeks, were randomly divided into following five groups: control, model, positive drug, low-dose DSS, high-dose DSS groups. After intervention, Morris water maze was used to assess learning memory abilities Nissl staining...
Reasonable welding speeds are a prerequisite for obtaining high-quality joints by friction stir (FSW). In this paper, 2195-T8 Al-Li alloy FSW were successfully fabricated at different (100–600 mm/min) with constant rotation speed. The effect of speed on the microstructure and mechanical properties was analyzed under experimental methods. Microstructural characterization conducted using optical microscopy (OM), scanning electron (SEM), backscattered diffraction (EBSD) transmission (TEM)....
摘要: 以研究智能混合动力汽车控制技术与深度强化学习算法为目标,首先,在两辆混合动力汽车的跟驰环境中,针对领航车提出一种基于深度值网络算法的能量管理策略,实现深度强化学习对发动机与机械式无级变速器的多目标协同控制;其次,针对跟随车建立基于深度强化学习的分层控制模型,实现面向智能混合动力汽车的上层跟车控制与下层能量管理;最后,仿真验证分层控制模型的有效性。结果表明,基于深度强化学习的跟车控制策略具有理想的跟踪性能;同时,基于深度强化学习的能量管理策略在领航车与跟随车中均实现了较好的燃油经济性;此外,基于深度强化学习的能量管理策略输出每组控制动作的平均时间为1.66 ms,保证了实时应用的潜力。