Characterization of Lithium-Polymer batteries for CubeSat applications

Navarathinam, Nimal; Lee, Regina; Chesser, Hugh

doi:10.1016/j.actaastro.2011.02.004

Cited by 23 publications

(18 citation statements)

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“…Several approaches are used to obtain a high energy density. The increase in energy density over the years, based on scientific publications [37][38][39][40][41][42] and manufacturer datasheets [26], is displayed in Figure 7. This search has lead to the invention of many new battery electrode materials, each with their own capacity and other properties.…”

Section: Future Development Of Batteriesmentioning

confidence: 99%

“…When only nanometer-dimension electrodes The past and present data points are based on manufacturer datasheets and scientific literature [26,[37][38][39][40][41][42][43][44][45]. When only nanometer-dimension electrodes The past and present data points are based on manufacturer datasheets and scientific literature [26,[37][38][39][40][41][42][43][44][45].…”

Section: Future Development Of Batteriesmentioning

confidence: 99%

“…The present Varta Microbattery 18650-26FC Li-ion battery has an energy density that is almost three times the value of the first Li-ion battery introduced by Sony in the early 1990s (556 vs. 200 mWh cm À3 [26,37]). The increase in energy density over the years, based on scientific publications [37][38][39][40][41][42] and manufacturer datasheets [26], is displayed in Figure 7. It is a surprising observation that the increase of the energy density of commercial Li-ion batteries has been approximately linear over the past two decades.…”

Section: Future Development Of Batteriesmentioning

confidence: 99%

“…The use of nanotechnology can also improve battery performance. When only nanometer-dimension electrodes The past and present data points are based on manufacturer datasheets and scientific literature [26,[37][38][39][40][41][42][43][44][45]. The future trends are based on the extrapolation of observed past trends and estimates of chemical and material science developments in the future.…”

Section: Future Development Of Batteriesmentioning

confidence: 99%

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A review of the present situation and future developments of micro-batteries for wireless autonomous sensor systems

Oudenhoven

Vullers

Schaijk

2012

Int. J. Energy Res.

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SUMMARY Wireless sensor nodes (WSNs) are expected to play an increasing role in multiple application areas. These application areas vary from networks around the human body, sensors in smart tires, sensor networks that can control the safety and comfort levels throughout smart buildings, sensors that monitor the necessity for maintenance and sensors that track the conditions of food throughout the distribution chain. These wireless sensors need energy, which can be supplied by a battery or an energy harvester. However, even when an energy harvester is applied, energy storage is required to serve as energy buffer. In this review, the requirements that different types of wireless sensor networks impose on these batteries are explored, and several suitable types of batteries are reviewed. Moreover, the trends in battery development are described, and the future improvements are predicted. Finally, the possibilities are discussed to select a battery with properties that are matched to the requirements of the sensor nodes. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Future Development Of Batteriesmentioning

confidence: 99%

Section: Future Development Of Batteriesmentioning

confidence: 99%

Section: Future Development Of Batteriesmentioning

confidence: 99%

Section: Future Development Of Batteriesmentioning

confidence: 99%

See 2 more Smart Citations

A review of the present situation and future developments of micro-batteries for wireless autonomous sensor systems

Oudenhoven

Vullers

Schaijk

2012

Int. J. Energy Res.

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“…Battery voltage and current monitoring is done via analog-todigital converters, which are present on most modern microcontrollers and ideally are present on the central ARM microcontroller. In-depth testing of Li-Ion cells (Navarathinam et al, 2011), NiMH battery packs and high-current DC-DC power converters has been done to verify performance in extreme environmental and operational conditions.…”

Section: Powermentioning

confidence: 99%

Modular Design for Space Engineering Research Platforms

Post¹,

Lee

Quine

2011

Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics

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Abstract:In this paper, we describe a modular design approach that is used in developing several research platforms for space engineering research at York University. We briefly describe three distinct research projects for space science and engineering research: a 6kg micro-rover under development for the Northern Light mars lander mission, a 50kg rover built by the York University Rover Team to compete in the annual University Rover Challenge, and a 1U CubeSat design for nanosatellite technology development research. All three research projects share a design philosophy to achieve modularity, efficiency, robustness and simplicity by adopting a common embedded hardware configuration using COTS hardware and a simple control topology. An on-board computer board stack based on a PC/104 or similar form-factor provides centralized control using an ARM microcontroller. Payloads and application-specific components are added using robust SPI, synchronous serial, and RS-485 interfaces, with provision made for ethernet and USB connectivity when needed. The software for this system is is based on open-source compilers and operating systems and is also modular in nature, using a portable base station GUI, wireless mesh networking between different systems, and JAUS messaging for flexible component-level communications. The proposed design approach allows sharing of resources while optimizing design features with cost-effective, readily-available commercial components for complex research projects.

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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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Characterization of Lithium-Polymer batteries for CubeSat applications

Cited by 23 publications

References 0 publications

A review of the present situation and future developments of micro-batteries for wireless autonomous sensor systems

A review of the present situation and future developments of micro-batteries for wireless autonomous sensor systems

Modular Design for Space Engineering Research Platforms

On‐board energy scheduling optimization algorithm for nanosatellites

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