Tenpower 20SG Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Tenpower 20SG cell for drones, designed for mission feasibility assessments, ensuring reliable performance in critical applications.
Value Propositions
Cylindrical 18650 form factor for compact design.
Nominal capacity of 7.4 Wh and 2.0 Ah for efficient energy storage.
Volumetric energy density of 417 Wh/l, top-quartile vs median.
Gravimetric power density of 2,581 W/kg, among the highest in database.
Maximum continuous discharge of 30 A, ensuring robust performance.
About the Cell
The Tenpower 20SG cell features a cylindrical 18650 form factor, making it ideal for compact drone applications. With a nominal capacity of 7.4 Wh and 2.0 Ah, it provides efficient energy storage for various missions. Its volumetric energy density of 417 Wh/l places it in the top-quartile compared to the database median, ensuring that drones can carry more energy without increasing size. Additionally, the gravimetric energy density of 172 Wh/kg is competitive, allowing for lightweight designs that do not compromise on performance. The cell's volumetric power density of 6,257 W/l is among the highest in the database, enabling quick energy delivery for demanding applications. Furthermore, the maximum continuous discharge of 30 A ensures that the cell can handle high current draws, making it suitable for various UAV operations.
Application Challenges
In the context of drones, mission feasibility assessment is crucial for determining what missions or use cases are possible. The ability to assess these factors using simulation allows operators to make informed go/no-go decisions. The Tenpower 20SG cell's specifications directly impact mission performance, particularly in terms of energy density and discharge rates. For example, the high volumetric energy density allows for longer flight times, which is essential for missions that require extended operation without recharging. Moreover, the maximum continuous discharge capability ensures that the drone can perform demanding tasks without risking battery failure. In scenarios where drones operate in extreme environments, the ability to predict battery performance accurately is vital to avoid mid-air failures and ensure mission success.
Why this Cell
The Tenpower 20SG cell is specifically designed to meet the challenges of drone applications, particularly in mission feasibility assessments. Its nominal capacity of 7.4 Wh and maximum continuous discharge of 30 A provide a robust foundation for reliable performance. The cell's volumetric energy density of 417 Wh/l is in the top-quartile compared to the database median, allowing drones to carry more energy efficiently. This is particularly important for long endurance missions where every minute of airtime counts. Additionally, the gravimetric power density of 2,581 W/kg ensures that the cell can deliver high power outputs, making it suitable for applications that require rapid energy delivery. These features make the Tenpower 20SG an excellent choice for UAV battery pack design, ensuring that operators can confidently select cells that meet their mission requirements.
How Model-Based Design Helps
Simulation and model-based design play a critical role in optimising drone battery performance. By modelling load profiles, thermal behaviour, and voltage response, engineers can predict how the Tenpower 20SG cell will perform under various conditions. This allows for accurate assessments of usable energy and helps in selecting the right cell for specific missions. For instance, simulations can reveal how the cell behaves at low states of charge (SoC) or in extreme temperatures, which is essential for mission feasibility assessments. By understanding the thermal rise and potential voltage sag during operation, designers can ensure that the selected battery will not only meet performance expectations but also maintain safety and reliability throughout the mission. This approach reduces the risk of costly failures and enhances operator confidence in drone readiness.
