A5028861512- Multilevel Inverters and Converters
- Advanced DC-DC Converters
- Advanced Battery Technologies Research
- Microgrid Control and Optimization
- Induction Heating and Inverter Technology
- Fuel Cells and Related Materials
- Electric Vehicles and Infrastructure
- Real-time simulation and control systems
- Electric and Hybrid Vehicle Technologies
- Control Systems and Identification
- Advancements in Solid Oxide Fuel Cells
- Fault Detection and Control Systems
Tecnológico de Monterrey
2024-2025
This article presents a data-driven methodology for modeling DC–DC power electronic converters. Using the proposed methodology, dynamics of converter can be captured, thereby eliminating need explicit theoretical methods. approach only requires acquisition fundamental measurements: currents through inductors and voltages across capacitors. The acquired data are used to construct linear difference system, which is algebraically manipulated form state–space representation under analysis. Three...
This article presents a data-driven methodology for modeling lithium-ion batteries, which includes the estimation of open-circuit voltage and state charge. Using proposed methodology, dynamics battery cell can be captured without need explicit theoretical models. approach only requires acquisition two easily measurable variables: discharge current terminal voltage. The acquired data are used to build linear differential system, is algebraically manipulated form space-state representation...
This work introduces a boost converter with quadratic gain. Its main advantage compared to well-known similar converters is that it requires capacitors relatively small capacitance and inductors inductance, leading reduction in the size or stored energy while performing power conversion of rating same switching ripples both input current output voltage. It inspired by recently introduced ISB uses specific PWM method. results achieving ripple constraints using smaller storage elements...