A5039175315- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Electric Vehicles and Infrastructure
- Electric and Hybrid Vehicle Technologies
- Cloud Computing and Resource Management
- Real-time simulation and control systems
- Fault Detection and Control Systems
- Fuel Cells and Related Materials
- Engineering Applied Research
- Distributed systems and fault tolerance
- Flexible and Reconfigurable Manufacturing Systems
- Distributed and Parallel Computing Systems
- Nursing Roles and Practices
- Supercapacitor Materials and Fabrication
- Caching and Content Delivery
- Software-Defined Networks and 5G
Beihang University
2011-2023
Institute of Software
2011-2012
Affiliated Hospital of Shaanxi University of Chinese Medicine
2012
The strategies of battery management system (BMS) rely heavily on sets models to represent the lithium-ion batteries. However, hysteresis voltage response batteries, which is mainly caused by polarization electrodes, will inevitably have influence accuracy and real-time performance model’s SOC-OCV curve, more or less. In this work, a dynamic Prandtl–Ishlinskii model established present certain magnitude regarding not only major OCV boundaries but also different minor loops partial charge...
Distributed stream processing relies on in-network operator placement to achieve an optimal resource allocation which can use the pool of machines and network efficiently. Due QoS (Quality Service) constraints imposed by application, is usually treated as optimization problem with constraints. Trying get a global challenging since it's NP-hard problem. In this paper, we formalize usage objective two related metrics: throughput end-to-end delay. We propose concept Optimization Power describe...
With the popularity of cloud computing, high volume data needs to be processed in real-time. Therefore, many distributed stream processing systems have risen deal with this requirement. One kind applications contains several PEs which are connected together implement application logic. As is form streams and it real-time, availability important for application. At same time, requires a performance, including low resource cost. According these features application, we propose new replica...
The accuracy of lithium-ion battery charging control has a profound effect on the cycle life and safety system in electric vehicles. Therefore, we propose highly efficient method based model predictive control. A high-precision SOC estimation approach can be carried out by unscented Kalman filter Thevenin model, parameters are identified simulated annealing algorithm. Further, predict is presented implementation realized. Finally, precision validated experiment. Simulation results show that...
Battery manage systems (BMS) rely heavily on sets of models to describe the lithium-ion cells. However, hysteresis voltage response batteries, which is caused by polarization electrodes, will inevitably cause a great influence accuracy and real-time performance model's output. In this work, dynamic Prandtl–Ishlinskii model established present certain magnitude not only regarding major open circuit (OCV) boundaries but also different minor loops partial charge discharge at lifetime stages....
Changes in the ambient temperature of batteries use electric vehicles accelerate aging and attenuation resulting increased internal resistance performance degradation. The situ electrochemical impedance measurement method is an effective tool for detecting reactions on multiple time scales inside battery. In this paper, relaxation distribution used to investigate battery reveal mechanism during changes. order solve problem low frequency resolution existing spectrum analysis methods, quantity...