Tenpower 50SG 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 50SG cell for drones, optimising mission feasibility assessments with high energy density and performance for reliable operations.
Value Propositions
Cylindrical 21700 form factor for compact integration.
Nominal capacity of 18.0 Wh and 5.0 Ah for efficient energy storage.
Top-quartile volumetric energy density of 707 Wh/l for lightweight designs.
Maximum continuous discharge of 30.0 A, suitable for demanding applications.
Gravimetric power density of 1543 W/kg, enhancing UAV performance.
About the Cell
The Tenpower 50SG cell is designed in a cylindrical 21700 form factor, providing a nominal capacity of 18.0 Wh and 5.0 Ah. With a volumetric energy density of 707 Wh/l, it ranks in the top-quartile compared to the database median of 542 Wh/l, making it an excellent choice for lightweight drone battery packs. The gravimetric energy density of 257 Wh/kg is also noteworthy, being around the median of 210 Wh/kg, ensuring that the cell offers substantial energy for its weight. The maximum continuous discharge rate of 30.0 A positions it well for high-demand applications, while the volumetric power density of 4240 W/l is among the highest in the database, supporting robust performance during operation. This combination of features makes the 50SG cell a reliable option for UAV battery pack design, particularly in mission-critical scenarios.
Application Challenges
In the context of drones, particularly for mission feasibility assessments, the ability to accurately predict what missions or use cases are viable is crucial. The Tenpower 50SG cell's high energy density allows for extended flight times, which is essential for long endurance drone batteries. Additionally, the maximum continuous discharge capability ensures that the cell can handle the power demands of various UAV applications, including heavy lift and VTOL operations. The challenge lies in ensuring that the battery can perform reliably under different environmental conditions, which is where simulation plays a vital role. Accurate modelling of battery performance under varying loads and temperatures is necessary to prevent issues such as overheating and to ensure that the drone can complete its mission without failure.
Why this Cell
The Tenpower 50SG cell is particularly suited for drones due to its impressive specifications. With a volumetric energy density of 707 Wh/l, it is positioned in the top-quartile compared to the median of 542 Wh/l, allowing for lightweight drone battery packs that do not compromise on performance. The maximum continuous discharge rate of 30.0 A is critical for applications requiring high power output, making it ideal for UAVs that need to operate under demanding conditions. Furthermore, the gravimetric power density of 1543 W/kg enhances the overall efficiency of the drone's powertrain, ensuring that the battery contributes positively to the flight time and mission success. This cell's design and performance characteristics align perfectly with the needs of UAV battery optimisation, making it a top choice for engineers and designers in the field.
How Model-Based Design Helps
Simulation and model-based design are essential tools in optimising the performance of the Tenpower 50SG cell for drone applications. By simulating load profiles and thermal behaviour, engineers can predict how the cell will perform under various conditions, including high discharge rates and extreme temperatures. This predictive capability allows for informed decision-making regarding cell selection and battery pack design, ensuring that the chosen cell meets the specific requirements of the mission. For instance, modelling can reveal how voltage sag and heat generation affect usable energy, enabling designers to select the most suitable cell for their application. This approach not only enhances the reliability of the drone during missions but also reduces the risk of costly failures and redesigns, ultimately leading to more efficient and effective UAV operations.
