Jiangsu Sunpower 30T Drones Weight v power trade off in pack design - how to pick the right balance.
Explore the Jiangsu Sunpower 30T cell for drones, optimising weight and power for superior UAV performance and endurance in challenging environments.
Value Propositions
Cylindrical 18650 form factor for compact design.
Nominal capacity of 10.8 Wh and 3.0 Ah for reliable energy supply.
Top-quartile volumetric energy density of 615 Wh/l for lightweight packs.
Gravimetric power density of 2,273 W/kg, ideal for high discharge rates.
Maximum continuous discharge of 30 A supports demanding UAV applications.
About the Cell
The Jiangsu Sunpower 30T cell features a cylindrical 18650 form factor, making it an excellent choice for drone applications. With a nominal capacity of 10.8 Wh and 3.0 Ah, it provides a reliable energy supply for various UAV missions. The cell boasts a volumetric energy density of 615 Wh/l, placing it in the top-quartile compared to the database median of 541.67 Wh/l, which is crucial for lightweight drone battery packs. Additionally, its gravimetric energy density of 227.368 Wh/kg is around the median, ensuring a balance between weight and energy output. The cell's volumetric power density of 6,153.85 W/l is among the highest in the database, allowing for efficient energy delivery during high-demand operations. Furthermore, with a maximum continuous discharge of 30 A, the 30T cell is well-suited for applications requiring high discharge rates, making it an ideal choice for drone battery design.
Application Challenges
In the context of drones, the challenge of balancing weight and power in battery pack design is critical. Drones require lightweight battery solutions to maximise flight time and payload capacity. The Jiangsu Sunpower 30T cell addresses this need with its high energy density and efficient power delivery. When designing UAV battery packs, engineers must consider factors such as thermal management and energy consumption to ensure reliable performance. The weight versus power trade-off is essential, as heavier batteries can significantly reduce flight time and operational efficiency. By selecting the right battery cells, such as the 30T, designers can optimise UAV performance and enhance mission endurance, particularly in demanding environments.
Why this Cell
The Jiangsu Sunpower 30T cell is an optimal choice for drone applications due to its impressive specifications. With a volumetric energy density of 615 Wh/l, it is positioned in the top-quartile compared to the median of 541.67 Wh/l, allowing for lightweight battery packs that do not compromise on energy supply. Its gravimetric power density of 2,273 W/kg is also significant, providing robust performance during high discharge scenarios. This cell's maximum continuous discharge of 30 A ensures that it can handle the demands of various UAV applications, making it a reliable option for drone battery optimisation. The combination of these features supports the critical balance of weight and power in UAV battery design, enabling longer flight times and improved mission capabilities.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising battery selection for drones. By modelling load profiles, thermal behaviour, and voltage response, engineers can accurately predict the performance of different battery cells under various conditions. For instance, simulating the thermal rise and usable energy of the Jiangsu Sunpower 30T cell allows for informed decisions regarding its suitability for specific UAV missions. This approach helps in identifying the best battery for drone endurance, ensuring that the selected cell can deliver the required thrust and energy throughout the flight envelope. Furthermore, simulation aids in preventing issues such as battery overheating and ensures accurate state of charge (SOC) predictions, which are vital for mission success. By leveraging these advanced modelling techniques, designers can enhance UAV battery performance and reliability, ultimately leading to more efficient and effective drone operations.
