A5044670285- Electric and Hybrid Vehicle Technologies
- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Vehicle emissions and performance
- Advanced Combustion Engine Technologies
- Traffic control and management
- Advancements in Battery Materials
- Combustion and flame dynamics
- Catalytic Processes in Materials Science
- Real-time simulation and control systems
- Metallurgy and Material Forming
- Transportation Planning and Optimization
- Transportation Systems and Logistics
- Electrospun Nanofibers in Biomedical Applications
- Advanced Welding Techniques Analysis
- Metal Forming Simulation Techniques
- E-commerce and Technology Innovations
- Reconstructive Surgery and Microvascular Techniques
- Advanced Battery Materials and Technologies
- biodegradable polymer synthesis and properties
- Wound Healing and Treatments
- Microplastics and Plastic Pollution
- Energy Efficiency and Management
- Hydraulic and Pneumatic Systems
- Surgical Sutures and Adhesives
Tiangong University
2022-2024
Chongqing University of Science and Technology
2012-2023
Xiamen University
2020
Chongqing University
2017-2019
State Key Laboratory of Mechanical Transmission
2017-2018
Chongqing University of Technology
2017
University of Michigan–Dearborn
2008
Precise estimation of state health (SOH) are great importance for proper operation lithium-ion batteries equipped in electric vehicles. For real applications, it is however difficult to estimate battery SOH due stochastic operation, which turn speeds up aging process the battery. To attain precise estimation, an efficient manner based on machine learning proposed this study. Firstly, voltage profile during charging and discharging incremental capacity variation acquired through cycle life...
The driving pattern has an important influence on the parameter optimization of energy management strategy (EMS) for hybrid electric vehicles (HEVs). A new algorithm using simulated annealing particle swarm (SA-PSO) is proposed both power system and control HEVs based multiple cycles in order to realize minimum fuel consumption without impairing dynamic performance. Furthermore, taking unknown actual cycle into consideration, method EMS recognition this paper. simulation verifications...
Energy management strategies (EMSs) are critical for the improvement of fuel economy plug-in hybrid electric vehicles (PHEVs). However, conventional EMSs hardly consider influence uphill terrain on and battery life, leaving with insufficient power continuous terrains. Hence, in this study, an optimal control strategy a PHEV based road grade information is proposed. The target state charge (SOC) estimated as well predicted driving cycle obtained from GPS/GIS system. Furthermore, trajectory...
Despite recent progress on the segmentation of high-resolution images, there exist an unsolved problem, i.e., trade-off among accuracy, memory resources and inference speed. So far, GLNet is introduced for high or ultra-resolution image segmentation, which has reduced computational network. However, it ignores importances different cropped patches, treats tiled patches equally fusion with whole image, resulting in cost. To solve this we introduce a patch proposal network (PPN) paper,...