Satellite power system simulation

Colombo, Giulio; Grasselli, U.; Luca, Alessandro De; Spizzichino, A.; Falzini, S.

doi:10.1016/s0094-5765(97)00022-2

Cited by 21 publications

(8 citation statements)

References 2 publications

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“…Two main approaches are used to fulfill this task, analytical and numerical. Although many more numerical solutions can be found in the literature [33][34][35][36][37][38][39][40][41][42][43][44] than the ones based on analytical reasoning [13,32,[45][46][47][48][49][50][51], this last approach is still used, especially when high degree of reliability is needed within the model recalculations (e.g., calculating the power supply in operational spacecraft photovoltaic subsystems [52,53]).…”

Section: Solar Cell/panel Modelingmentioning

confidence: 99%

On the Analytical Approach to Present Engineering Problems: Photovoltaic Systems Behavior, Wind Speed Sensors Performance, and High-Speed Train Pressure Wave Effects in Tunnels

Pindado

Cubas

Sorribes-Palmer

2015

Mathematical Problems in Engineering

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At present, engineering problems required quite a sophisticated calculation means. However, analytical models still can prove to be a useful tool for engineers and scientists when dealing with complex physical phenomena. The mathematical models developed to analyze three different engineering problems: photovoltaic devices analysis; cup anemometer performance; and high-speed train pressure wave effects in tunnels are described. In all cases, the results are quite accurate when compared to testing measurements.

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Section: Solar Cell/panel Modelingmentioning

confidence: 99%

On the Analytical Approach to Present Engineering Problems: Photovoltaic Systems Behavior, Wind Speed Sensors Performance, and High-Speed Train Pressure Wave Effects in Tunnels

Pindado

Cubas

Sorribes-Palmer

2015

Mathematical Problems in Engineering

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“…The challenge of power generation or its best use in satellite missions is not new. [12][13][14][15][16] However, those first works were related to medium and large satellites where the power, voltage, and current levels were far above the CubeSat requirements. In addition, they assessed technologies that have improved since then, such as solar cells, batteries, and computer performance.…”

Section: Related Workmentioning

confidence: 99%

On‐board energy scheduling optimization algorithm for nanosatellites

Martinez

Seman

Filho

et al. 2023

Circuit Theory & Apps

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SummaryThis work proposes a real‐time and online energy scheduling optimization algorithm for nanosatellites operating with a direct energy transfer (DET) architecture. The goal of the algorithm is to optimize energy utilization by maximizing energy harvesting, meeting task deadlines and priorities, and ensuring a minimum quality of service (QoS) for the system. The algorithm is composed of a modified perturb and observe algorithm to reach the best energy efficiency point of the solar panels, a task prioritization algorithm to guarantee their times and minimum QoS, and a backpack optimization problem to maximize the energy efficiency of the satellite. To demonstrate the effectiveness of the proposed algorithm, simulations of a nanosatellite operating in a given orbit, attitude, and thermal parameters were conducted and compared to other task scheduling strategies. The results showed that the proposed energy scheduling algorithm had the best performance in terms of energy balance and average power consumption, with an energy balance up to 16% higher compared to the other tested strategies. This demonstrates the ability of the proposed algorithm to optimize power consumption and energy utilization, as well as efficiently schedule tasks to maximize energy harvesting. The proposed energy scheduling optimization algorithm has the potential to be a useful tool for the design and optimization of future satellite missions and could potentially guide the design of electrical power systems for new CubeSat missions operating with a DET architecture. The algorithm's ability to optimize energy utilization and ensure a minimum QoS for the system could improve the overall efficiency and performance of the satellite.

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“…These perturbations are the gravitational gradient, atmospheric drag or even the action of the ADCS (Wertz 1990). By using mathematical models of the 3U body shape, we describe the attitude of the CubeSat according to the space conditions (Colombo et al 1997;Sidi 2002).…”

Section: Introductionmentioning

confidence: 99%

Comparison of the Incident Solar Energy and Battery Storage in a 3U CubeSat Satellite for Different Orientation Scenarios

Sanchez-Sanjuan¹,

González-Llorente²,

Hurtado-Velasco³

2016

J.Aerosp. Technol. Manag.

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In CubeSats, because the size is limited, the estimation of the incident solar energy according to the orbital parameters and satellite attitude is more critical for the design process of the electrical power system. This estimation is helpful either for sizing of the power sources and energy storage or for defining the operation modes of the CubeSat with the energy available. This paper describes the kinematic and dynamic equations to derive the CubeSat attitude; similarly, the mathematical models of solar cells and batteries are also derived to calculate the energy harvested and stored. By determining the attitude of a 3U CubeSat over one orbit, we estimated the incident solar energy and thus the energy generated by the solar cells and energy stored in batteries when a direct energy-transfer architecture is used. In addition, these estimations where performed for three orientation scenarios: nadir-pointing, Sun-pointing and free-orientation. The estimated incident average solar energy for the three scenarios indicated that the Sun-pointing and free-orientation scenarios harvest more energy than the nadir-pointing one. This estimation is also helpful to predict the state of charge of the batteries in standby mode, allowing for determination of the time required for charging the batteries and, hence, the operating modes of the CubeSat. We expect to include the consumed energy while considering all of the operating modes of the satellite as well as different orbital parameters.

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Satellite power system simulation

Cited by 21 publications

References 2 publications

On the Analytical Approach to Present Engineering Problems: Photovoltaic Systems Behavior, Wind Speed Sensors Performance, and High-Speed Train Pressure Wave Effects in Tunnels

On the Analytical Approach to Present Engineering Problems: Photovoltaic Systems Behavior, Wind Speed Sensors Performance, and High-Speed Train Pressure Wave Effects in Tunnels

On‐board energy scheduling optimization algorithm for nanosatellites

Comparison of the Incident Solar Energy and Battery Storage in a 3U CubeSat Satellite for Different Orientation Scenarios

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