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I am a second-year Ph.D. student at UTP, serving as Professor in the Electrical Engineering program. Currently, I am working in the GCA under the supervision of Eduardo Giraldo. My research interests primarily focus on the optimal design of permanent magnet synchronous machines (PMSM), the design and construction of control systems, 3D printing, and electric mobility. Additionally, I am eager to learn more about robotics, topological optimization, aerospace engineering, and simulation of virtual environments.

Before starting my Ph.D. studies, I completed an MSc in electrical engineering. My thesis centered on designing, constructing, analyzing, and controlling a 3D-printed permanent magnet motor prototype. I also have extensive experience working in different 3D printing companies, where I developed projects for the Colombian industry. As an undergraduate student, I founded the IEEE Control Systems Society (CSS) UTP student branch chapter in 2018, enabling me to support students in their pursuit of different areas of knowledge.

Finally, I would like to announce that I recently founded the IEEE Robotics and Automation Society (RAS) and the IEEE Aerospace and Electronic Systems Society (AESS) UTP student branch chapters.

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud for Electrothermal Energy Harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs. The example also illustrates using a sampled-data algorithm for maximum power point tracking (MPPT), to optimize the energy harvest for changing operating temperatures.

The design includes a thermoelectric generator (TEG) that is supplied on the "hot" side by a sinusoidally time varying temperature between 75 degC and 100 degC. The "cold" side is held at a fixed 25 degC. The thermal resistance and heat capacitance of the hot-side heat-sink are shown in the schematic. The electronics section includes a mix of analog circuit elements, including an inductor, 1.0 F super-capacitor, LDO regulator and a periodically switched load resistor. It also includes abstract or "math block" models to represent the state-average (non-switching) behavior of a buck-boost converter.

The goal of the design is to extract sufficient power from the TEG, to provide a 2.5-Watt/1-second duration power burst once every 10 seconds. This burst is presumably to supply power for a periodic data transmission. The simple MPPT algorithm that helps achieves this is visible in the open-source MPPT-TEG model shown. The MPPT algorithm dynamically adjusts the load current draw from the TEG, to keep it operating at its maximum power output capability. That capability varies with the differential operating temperature. That shift can more easily be seen in the followingTEC/TEG calibration test schematic:

https://www.systemvision.com/design/calibrate-tecteg-energy-harvesting

Copy of Electrothermal Energy Harvesting - MPPT Capacitor Charging - on Thu, 05/16/2024 - 12:00

Designer256396

Member for

1 year 1 month

2

designs

groups

Welcome to the community!!

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud for Electrothermal Energy Harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs. The example also illustrates using a sampled-data algorithm for maximum power point tracking (MPPT), to optimize the energy harvest for changing operating temperatures.

The design includes a thermoelectric generator (TEG) that is supplied on the "hot" side by a sinusoidally time varying temperature between 75 degC and 100 degC. The "cold" side is held at a fixed 25 degC. The thermal resistance and heat capacitance of the hot-side heat-sink are shown in the schematic. The electronics section includes a mix of analog circuit elements, including an inductor, 1.0 F super-capacitor, LDO regulator and a periodically switched load resistor. It also includes abstract or "math block" models to represent the state-average (non-switching) behavior of a buck-boost converter.

The goal of the design is to extract sufficient power from the TEG, to provide a 2.5-Watt/1-second duration power burst once every 10 seconds. This burst is presumably to supply power for a periodic data transmission. The simple MPPT algorithm that helps achieves this is visible in the open-source MPPT-TEG model shown. The MPPT algorithm dynamically adjusts the load current draw from the TEG, to keep it operating at its maximum power output capability. That capability varies with the differential operating temperature. That shift can more easily be seen in the followingTEC/TEG calibration test schematic:

https://www.systemvision.com/design/calibrate-tecteg-energy-harvesting

Copy of Electrothermal Energy Harvesting - MPPT Capacitor Charging - on Sun, 08/20/2023 - 04:26

Designer248763

Member for

1 year 10 months

designs

groups

Welcome to the community!!

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud for Electrothermal Energy Harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs. The example also illustrates using a sampled-data algorithm for maximum power point tracking (MPPT), to optimize the energy harvest for changing operating temperatures.

The design includes a thermoelectric generator (TEG) that is supplied on the "hot" side by a sinusoidally time varying temperature between 75 degC and 100 degC. The "cold" side is held at a fixed 25 degC. The thermal resistance and heat capacitance of the hot-side heat-sink are shown in the schematic. The electronics section includes a mix of analog circuit elements, including an inductor, 1.0 F super-capacitor, LDO regulator and a periodically switched load resistor. It also includes abstract or "math block" models to represent the state-average (non-switching) behavior of a buck-boost converter.

The goal of the design is to extract sufficient power from the TEG, to provide a 2.5-Watt/1-second duration power burst once every 10 seconds. This burst is presumably to supply power for a periodic data transmission. The simple MPPT algorithm that helps achieves this is visible in the open-source MPPT-TEG model shown. The MPPT algorithm dynamically adjusts the load current draw from the TEG, to keep it operating at its maximum power output capability. That capability varies with the differential operating temperature. That shift can more easily be seen in the followingTEC/TEG calibration test schematic:

https://www.systemvision.com/design/calibrate-tecteg-energy-harvesting

Copy of Kinetic Energy Harvesting - on Wed, 07/26/2023 - 06:42

Designer247966

Member for

1 year 11 months

designs

groups

Welcome to the community!!

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud, for kinetic energy harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs.

The design contains mechanical, magnetic and electronic circuit elements, with energy conservation and cross-discipline dynamic interactions automatically included in the system model. The user can directly specify the physical or behavioral characteristics of many of the components. This includes the mass of the armature, the stiffness of the resonant spring, the cross sectional area of the magnetic core, the number of winding turns, the resistor and capacitor values, as well as the drop-out voltage of the linear regulator.

In the nominal simulation results displayed on the schematic, the upper right waveform viewer shows the initial start-up of the system, with the amplitude of the external vibration source of 0.07 mm peak at 60 Hz, equivalent to a peak acceleration of 1 g. The nominal armature spring-mass resonance frequency is 60 Hz, and the armature displacement is seen to reach the frame's travel limit of 10 mm peak-to-peak!

In the upper left, the waveform viewer is zoomed-in near the 1 sec. simulation time mark. It shows the time-varying core flux density and winding voltage, as the two air-gaps expand and contract with armature displacement, rapidly changing the magnetic flux path's effective reluctance value. In the lower right waveform viewer, the DC output voltage from the Schottky diode full-wave rectifier and the linear regulator output voltage are observed. The periodic disturbance is caused by the switched load being applied to the system.

Copy of Kinetic Energy Harvesting - on Sun, 03/14/2021 - 17:00

Designer238668

Member for

4 years 3 months

designs

groups

Add a bio to your profile to share information about yourself with other SystemVision users.

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud, for kinetic energy harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs.

The design contains mechanical, magnetic and electronic circuit elements, with energy conservation and cross-discipline dynamic interactions automatically included in the system model. The user can directly specify the physical or behavioral characteristics of many of the components. This includes the mass of the armature, the stiffness of the resonant spring, the cross sectional area of the magnetic core, the number of winding turns, the resistor and capacitor values, as well as the drop-out voltage of the linear regulator.

In the nominal simulation results displayed on the schematic, the upper right waveform viewer shows the initial start-up of the system, with the amplitude of the external vibration source of 0.07 mm peak at 60 Hz, equivalent to a peak acceleration of 1 g. The nominal armature spring-mass resonance frequency is 60 Hz, and the armature displacement is seen to reach the frame's travel limit of 10 mm peak-to-peak!

In the upper left, the waveform viewer is zoomed-in near the 1 sec. simulation time mark. It shows the time-varying core flux density and winding voltage, as the two air-gaps expand and contract with armature displacement, rapidly changing the magnetic flux path's effective reluctance value. In the lower right waveform viewer, the DC output voltage from the Schottky diode full-wave rectifier and the linear regulator output voltage are observed. The periodic disturbance is caused by the switched load being applied to the system.

Copy of Kinetic Energy Harvesting - on Sun, 03/14/2021 - 17:00

Designer238668

Member for

4 years 3 months

designs

groups

Add a bio to your profile to share information about yourself with other SystemVision users.

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud, for kinetic energy harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs.

The design contains mechanical, magnetic and electronic circuit elements, with energy conservation and cross-discipline dynamic interactions automatically included in the system model. The user can directly specify the physical or behavioral characteristics of many of the components. This includes the mass of the armature, the stiffness of the resonant spring, the cross sectional area of the magnetic core, the number of winding turns, the resistor and capacitor values, as well as the drop-out voltage of the linear regulator.

In the nominal simulation results displayed on the schematic, the upper right waveform viewer shows the initial start-up of the system, with the amplitude of the external vibration source of 0.07 mm peak at 60 Hz, equivalent to a peak acceleration of 1 g. The nominal armature spring-mass resonance frequency is 60 Hz, and the armature displacement is seen to reach the frame's travel limit of 10 mm peak-to-peak!

In the upper left, the waveform viewer is zoomed-in near the 1 sec. simulation time mark. It shows the time-varying core flux density and winding voltage, as the two air-gaps expand and contract with armature displacement, rapidly changing the magnetic flux path's effective reluctance value. In the lower right waveform viewer, the DC output voltage from the Schottky diode full-wave rectifier and the linear regulator output voltage are observed. The periodic disturbance is caused by the switched load being applied to the system.

Copy of Electrothermal Energy Harvesting - MPPT Capacitor Charging - on Thu, 03/04/2021 - 15:24

Designer238518

Member for

4 years 3 months

designs

groups

Add a bio to your profile to share information about yourself with other SystemVision users.

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud for Electrothermal Energy Harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs. The example also illustrates using a sampled-data algorithm for maximum power point tracking (MPPT), to optimize the energy harvest for changing operating temperatures.

The design includes a thermoelectric generator (TEG) that is supplied on the "hot" side by a sinusoidally time varying temperature between 75 degC and 100 degC. The "cold" side is held at a fixed 25 degC. The thermal resistance and heat capacitance of the hot-side heat-sink are shown in the schematic. The electronics section includes a mix of analog circuit elements, including an inductor, 1.0 F super-capacitor, LDO regulator and a periodically switched load resistor. It also includes abstract or "math block" models to represent the state-average (non-switching) behavior of a buck-boost converter.

The goal of the design is to extract sufficient power from the TEG, to provide a 2.5-Watt/1-second duration power burst once every 10 seconds. This burst is presumably to supply power for a periodic data transmission. The simple MPPT algorithm that helps achieves this is visible in the open-source MPPT-TEG model shown. The MPPT algorithm dynamically adjusts the load current draw from the TEG, to keep it operating at its maximum power output capability. That capability varies with the differential operating temperature. That shift can more easily be seen in the followingTEC/TEG calibration test schematic:

https://www.systemvision.com/design/calibrate-tecteg-energy-harvesting

Copy of Electrothermal Energy Harvesting - MPPT Capacitor Charging - on Thu, 03/04/2021 - 15:24

Designer238518

Member for

4 years 3 months

designs

groups

Add a bio to your profile to share information about yourself with other SystemVision users.

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud for Electrothermal Energy Harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs. The example also illustrates using a sampled-data algorithm for maximum power point tracking (MPPT), to optimize the energy harvest for changing operating temperatures.

The design includes a thermoelectric generator (TEG) that is supplied on the "hot" side by a sinusoidally time varying temperature between 75 degC and 100 degC. The "cold" side is held at a fixed 25 degC. The thermal resistance and heat capacitance of the hot-side heat-sink are shown in the schematic. The electronics section includes a mix of analog circuit elements, including an inductor, 1.0 F super-capacitor, LDO regulator and a periodically switched load resistor. It also includes abstract or "math block" models to represent the state-average (non-switching) behavior of a buck-boost converter.

The goal of the design is to extract sufficient power from the TEG, to provide a 2.5-Watt/1-second duration power burst once every 10 seconds. This burst is presumably to supply power for a periodic data transmission. The simple MPPT algorithm that helps achieves this is visible in the open-source MPPT-TEG model shown. The MPPT algorithm dynamically adjusts the load current draw from the TEG, to keep it operating at its maximum power output capability. That capability varies with the differential operating temperature. That shift can more easily be seen in the followingTEC/TEG calibration test schematic:

https://www.systemvision.com/design/calibrate-tecteg-energy-harvesting

Copy of boost converter average model open loop - on Wed, 02/24/2021 - 20:39

Designer19

Member for

11 years 7 months

1,832

designs

10

groups

Member of the PartQuest Explore Development Team. Focused on modeling and simulation of analog, mixed-signal and multi-discipline systems covering a broad range of applications, including power electronics, controls and mechatronic systems.

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud, for electrodynamic energy harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs.

The mechanical and magnetic circuit sections of the model are composed of "physical" models, in that user can directly specify size and physical properties of the components. This includes the mass of the armature, the stiffness of the resonant spring, the cross section area and length of the magnetic core, the residual flux density of the permanent magnet, and the number of winding turns.

The electronics section (rectifier and boost converter) contains a mix of passive analog circuit elements as well as abstract or "math block" models to represent the state-average (non-switching) behavior of the converter. Finally, constant power load model represents the power demand for periodic transmission of data typical of an (I)IoT sensor node.

In the simulation results displayed on the schematic, the upper right waveform viewer shows the amplitude of the external vibration source (e.g. a motor or transformer housing) of 0.07mm peak at 60 Hz, equivalent to a peak acceleration of 1g (light-blue waveform). The armature spring-mass resonance frequency is 60 Hz, so the armature displacement is seen to reach the frame's travel limit of 4mm peak-to-peak (green waveform).

In the upper left, the two waveform viewers are zoomed-in near the 1 second simulation time mark, and they show the air-gap lengths and the corresponding core flux density and winding voltage. Note that the air-gaps are configured in parallel for the flux path, so the effective path reluctance is minimized when either gap approaches zero length.

In the lower right, the relatively low value of the rectified "DC" voltage is observed (red waveform), as well as the regulated boost output voltage that supplies the transmitter load.

boost converter average model open loop

Description

This example is intended to show relevant modeling and simulation capabilities of SystemVision Cloud, for electrodynamic energy harvesting (EH) systems. It is not necessarily a practical EH design itself, but rather demonstrates the tool's ability to support knowledgeable users who are creating practical designs.

The mechanical and magnetic circuit sections of the model are composed of "physical" models, in that user can directly specify size and physical properties of the components. This includes the mass of the armature, the stiffness of the resonant spring, the cross section area and length of the magnetic core, the residual flux density of the permanent magnet, and the number of winding turns.

The electronics section (rectifier and boost converter) contains a mix of passive analog circuit elements as well as abstract or "math block" models to represent the state-average (non-switching) behavior of the converter. Finally, constant power load model represents the power demand for periodic transmission of data typical of an (I)IoT sensor node.

In the simulation results displayed on the schematic, the upper right waveform viewer shows the amplitude of the external vibration source (e.g. a motor or transformer housing) of 0.07mm peak at 60 Hz, equivalent to a peak acceleration of 1g (light-blue waveform). The armature spring-mass resonance frequency is 60 Hz, so the armature displacement is seen to reach the frame's travel limit of 4mm peak-to-peak (green waveform).

In the upper left, the two waveform viewers are zoomed-in near the 1 second simulation time mark, and they show the air-gap lengths and the corresponding core flux density and winding voltage. Note that the air-gaps are configured in parallel for the flux path, so the effective path reluctance is minimized when either gap approaches zero length.

In the lower right, the relatively low value of the rectified "DC" voltage is observed (red waveform), as well as the regulated boost output voltage that supplies the transmitter load.