Energy Management of a Solar-Battery Powered Fixed-Wing UAV

Avila, Eduardo; Jaramillo, Angélica Cibrián; Costa, Juan Luís Castejón; Pozo, Marcelo; Borja, Gabriel B.; Madera, Paul; Paredes, Andres; Otero, Nilo; Condolo, Vicente; Vintimilla, Alejandro

doi:10.1109/inciscos.2018.00033

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…Avila et al proposed a hybrid solar-battery feeding system that achieves efficient energy conversion through the implementation of sliding-mode control. Through the implementation of Maximum Power Point Tracking (MPPT), the UAV was able to maintain a constant power output, particularly for fixed-wing UAVs [5]. Currently, these researchers are improving the energy utilization efficiency and, therefore, enhancing the duration of flight through optimizing energy conversion.…”

Section: Optimizing Energy Conversionmentioning

confidence: 99%

Design of Energy-Management Strategy for Solar-Powered UAV

Gao,

Qiao,

Pei

et al. 2023

Sustainability

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Energy management plays a crucial role in achieving extended endurance for solar-powered Unmanned Aerial Vehicles (UAVs). Current studies in energy management primarily focus on natural energy harvesting and task-oriented path planning. This paper aims to optimize energy consumption during the climb and glide stages by exploring variable climb speeds and glide powers. To achieve this, fitness functions are established for both the climb and glide stages, taking into account the maximum climb speed and glide power limits of the aircraft. The particle swarm optimization (PSO) algorithm is employed to solve the problem, resulting in significant energy savings of over 68% in the climb stage and 4.8% in the glide stage. Based on an analysis of the optimization trends, this study proposes an energy-management strategy to fulfill the demand for long-endurance flights. The findings of this study can serve as a valuable reference for high-altitude missions that require extended flight times.

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Section: Optimizing Energy Conversionmentioning

confidence: 99%

Design of Energy-Management Strategy for Solar-Powered UAV

Gao,

Qiao,

Pei

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The second RC model battery is shown in Figure 3. The representation of the model is expressed, as in (10) and (11), where R s is the internal equivalent series resistance of battery, while R p1 and R p2 are the internal equivalent parallel resistance [25]. On the other hand, the V OCV , C 1 , and C 2 are battery open circuit voltage, internal capacitance parasitic RC-network 1, and capacitance parasitic RC-network 2, respectively.…”

Section: Battery Modellingmentioning

confidence: 99%

“…There are slight issues with the EMS applied in MR that is studied in [4,[10][11][12][13]. The UAV's EMS proposed by [2] was constructed with an independent DC/DC converter for each power source and the outputs are connected together to DC link as the main grid.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Energy Management System for Mobile Robot

Lee

Nugroho

2022

Sustainability

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Mobile robots used for search and rescue suffer from uncertain time duration for sustainable operation. Solar energy has the drawback that it fluctuates depending on the weather. By integrating the battery and supercapacitor, the energy management system eliminates this shortcoming. Managing power sharing between the battery and the supercapacitor is conducted by the fuzzy logic controller and proportional integral controller. The fuzzy logic controller provides a reference value to the proportional integral controller to keep the supercapacitor voltage at a certain value. It provides sufficient space to store solar energy and at the same time helps the battery to stay longer for operation. Moreover, the proposed energy management system offers a feature for providing a load power reference recommendation and offers the hibernate mode to save energy when the main power source is too weak, and it is suitable for mobile robot application. The simulation and experiment show that the energy management system design maintains the supercapacitor voltage and regulates the power sharing. Moreover, it also provides a percentage power reference recommendation for the central controller to manage its load current. It reduces the battery power consumption up to 35% and reduces peak current up to 5%, depending on the existing photovoltaic current and load management.

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Research on Energy Optimal Control Strategy of DC PV-Energy Storage System for Unmanned Aerial Vehicle

Wang

Sun

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

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Energy Management of a Solar-Battery Powered Fixed-Wing UAV

Cited by 4 publications

References 16 publications

Design of Energy-Management Strategy for Solar-Powered UAV

Design of Energy-Management Strategy for Solar-Powered UAV

Intelligent Energy Management System for Mobile Robot

Research on Energy Optimal Control Strategy of DC PV-Energy Storage System for Unmanned Aerial Vehicle

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