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Samsung 40T3 Maximise flight time - optimise the cell selection, duty cycle and flight speed to maximise flight time.

Discover the Samsung 40T3 cell designed for UAV applications, optimising flight time and performance in demanding environments.

Value Propositions

  • Cylindrical 21700 form factor for efficient design.

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

  • Top-quartile volumetric energy density of 579 Wh/l for compact designs.

  • Maximum continuous discharge of 50 A, ensuring robust performance.

  • Gravimetric power density of 2571 W/kg for high energy demands.

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About the Cell

The Samsung 40T3 cell features a cylindrical 21700 form factor, providing a nominal capacity of 14.4 Wh and 4.0 Ah. With a volumetric energy density of 579 Wh/l, it ranks in the top-quartile compared to the database median of 541.67 Wh/l, making it suitable for long endurance drone applications. The gravimetric energy density of 205.714 Wh/kg is around the median, ensuring a balance between weight and energy storage. Additionally, the cell boasts a maximum continuous discharge of 50 A, which is in the top-quartile compared to the median of 30 A, allowing for high energy demands during flight. This combination of features makes the Samsung 40T3 an excellent choice for UAV battery pack design, particularly in scenarios where weight and performance are critical.

Application Challenges

In the context of EVTOL and the challenge to maximise flight time - optimise the cell selection, duty cycle and flight speed to maximise flight time, the Samsung 40T3 cell addresses several key challenges. The need for lightweight drone battery packs is paramount, as excess weight can significantly reduce flight time. The high volumetric energy density of 579 Wh/l allows for compact designs that do not compromise on energy storage. Furthermore, the maximum continuous discharge of 50 A ensures that the cell can handle the high power demands typical in UAV operations, especially during take-off and manoeuvring. Effective battery thermal management is also crucial, as overheating can lead to performance degradation and safety risks. The Samsung 40T3's robust design helps mitigate these risks, making it a reliable choice for demanding applications.

Why this Cell

The Samsung 40T3 cell is particularly suited for the EVTOL application due to its impressive specifications. With a maximum continuous discharge of 50 A, it is in the top-quartile compared to the median of 30 A, ensuring that it can meet the high current demands of UAV operations. The cell's volumetric energy density of 579 Wh/l is also noteworthy, as it exceeds the median of 541.67 Wh/l, allowing for longer flight times without increasing the weight of the battery pack. This is critical for applications where every minute of airtime counts. Additionally, the gravimetric power density of 2571 W/kg is significantly higher than the median of 750 W/kg, providing the necessary power for demanding flight profiles. These attributes make the Samsung 40T3 an ideal choice for UAV battery optimisation, ensuring that operators can maximise flight time while maintaining safety and performance.

How Model-Based Design Helps

Simulation and model-based design play a crucial role in optimising the selection of the Samsung 40T3 cell for UAV applications. By modelling load profiles, engineers can predict how the cell will perform under various conditions, including different duty cycles and flight speeds. This allows for accurate predictions of voltage sag and usable energy, which are essential for ensuring that the drone can complete its mission without mid-air failures. Furthermore, thermal simulations help identify potential overheating issues, enabling designers to implement effective battery thermal management strategies. By using cell-specific data, engineers can benchmark the Samsung 40T3 against other candidates, ensuring that the best cell is selected for the specific mission profile. This approach not only enhances performance but also reduces the risk of costly trial-and-error testing, ultimately leading to more reliable UAV operations.

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