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Samsung 40T Cell for Aerospace Application: Maximise flight time - optimise the cell selection, duty cycle and flight speed to maximise flight time.

Discover the Samsung 40T cell designed for aerospace applications, optimising flight time and performance for UAVs with high energy density and efficiency.

Value Propositions

  • Cylindrical 21700 form factor for efficient space utilisation.

  • Nominal capacity of 14.4 Wh and 4.0 Ah for reliable energy supply.

  • Top-quartile volumetric power density of 6,516 W/l for high performance.

  • Gravimetric energy density of 206 Wh/kg, ensuring lightweight solutions.

  • Maximum continuous discharge of 45 A, supporting demanding applications.

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About the Cell

The Samsung 40T cell features a cylindrical 21700 form factor, optimising space and weight for UAV applications. With a nominal capacity of 14.4 Wh and 4.0 Ah, it provides a reliable energy supply for various drone operations. The cell boasts a volumetric energy density of 579 Wh/l, which is around the median of 541 Wh/l in the database, ensuring efficient energy storage. Additionally, it has a gravimetric energy density of 206 Wh/kg, which is around the median of 210 Wh/kg, making it a lightweight option for drone battery packs. The cell's volumetric power density of 6,516 W/l places it in the top-quartile, being significantly higher than the median of 2,029 W/l, which is crucial for high-performance applications. Furthermore, the maximum continuous discharge rate of 45 A exceeds the median of 30 A, allowing for demanding power requirements during flight.

Application Challenges

In the aerospace sector, maximising flight time is critical. The Samsung 40T cell addresses the challenge of optimising cell selection, duty cycle, and flight speed to enhance UAV performance. With the increasing demand for long endurance drone batteries, the ability to extend flight time directly impacts mission success. High energy density is essential for UAVs, especially in applications such as industrial inspections and emergency response, where every minute of airtime counts. The challenge lies in balancing energy capacity with weight, ensuring that drones can carry necessary payloads without compromising flight duration. Additionally, thermal management is crucial to prevent overheating, which can lead to battery failure and mission delays. The Samsung 40T cell's specifications are designed to meet these challenges effectively.

Why this Cell

The Samsung 40T cell is an ideal choice for aerospace applications due to its impressive specifications. With a maximum continuous discharge rate of 45 A, it supports high power demands, which is essential for UAVs operating in challenging environments. The cell's volumetric energy density of 579 Wh/l is around the median, ensuring that drones can carry sufficient energy without excessive weight. Furthermore, its gravimetric energy density of 206 Wh/kg is comparable to the median, making it a lightweight option. The top-quartile volumetric power density of 6,516 W/l allows for quick bursts of energy, enhancing drone responsiveness during critical operations. These metrics collectively contribute to maximising flight time, optimising the cell selection, and ensuring efficient duty cycles for various UAV missions.

How Model-Based Design Helps

Simulation and model-based design play a crucial role in selecting the right battery cells for UAV applications. By modelling load profiles, thermal behaviour, and voltage responses, engineers can predict how the Samsung 40T cell will perform under various conditions. This approach allows for accurate assessments of energy consumption and thermal management, ensuring that the cell can deliver the required thrust and energy throughout the flight envelope. For instance, simulating different flight speeds helps identify the optimal cruise velocity that balances energy use and aerodynamic efficiency. Additionally, thermal simulations can predict internal temperature rises, enabling the selection of cells that avoid overheating and ensure safe operation. This data-driven approach reduces the risks associated with trial-and-error testing and enhances the overall reliability of UAV missions.

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