Enpower Greentech 21700-4.5Ah Drones Weight v power trade off in pack design - how to pick the right balance.
Explore the Enpower Greentech 21700-4.5Ah cell for drones, optimising weight and power for superior performance in UAV applications.
Value Propositions
Cylindrical 21700 form factor with a nominal capacity of 15.84 Wh.
Gravimetric energy density of 229.57 Wh/kg, around median for high-performance cells.
Maximum continuous discharge of 60 A, top-quartile vs median of 30 A.
Volumetric power density of 8447 W/l, among the highest in the database.
Standard charge current of 2.2 A, suitable for efficient UAV battery pack design.
About the Cell
The Enpower Greentech 21700-4.5Ah cell is designed specifically for drone applications, featuring a cylindrical form factor that optimises space and weight. With a nominal capacity of 15.84 Wh and a nominal charge capacity of 4.4 Ah, this cell provides a robust energy solution for UAVs. Its volumetric energy density of 619 Wh/l is significantly above the database median of 541.67 Wh/l, making it an excellent choice for applications requiring high energy storage in compact designs. The gravimetric energy density of 229.57 Wh/kg is also competitive, ensuring that the cell contributes to lightweight drone battery packs. The maximum continuous discharge rate of 60 A positions it in the top-quartile compared to the median of 30 A, allowing for high power output during demanding flight conditions. Furthermore, the volumetric power density of 8447 W/l is among the highest in the database, ensuring that the cell can deliver power efficiently when needed. This combination of features makes the 21700-4.5Ah cell a prime candidate for drone battery design, particularly in applications where weight and power trade-offs are critical.
Application Challenges
In the context of drones, the challenge of balancing weight and power in battery pack design is paramount. UAVs require batteries that not only provide sufficient energy for extended flight times but also maintain a lightweight profile to enhance manoeuvrability and efficiency. The Enpower Greentech 21700-4.5Ah cell addresses these challenges effectively. With its high energy density, it allows for longer endurance flights, which is crucial for applications such as industrial inspections and surveillance. Additionally, the ability to discharge at high rates without overheating is essential for maintaining performance in demanding environments. As drone technology evolves, the need for lightweight battery solutions that do not compromise on power output becomes increasingly important. The 21700-4.5Ah cell's specifications position it well to meet these evolving demands, ensuring that operators can rely on their UAVs for critical missions without the risk of battery failure.
Why this Cell
The Enpower Greentech 21700-4.5Ah cell stands out in the competitive landscape of drone batteries due to its impressive specifications. With a maximum continuous discharge of 60 A, it is in the top-quartile compared to the median of 30 A, ensuring that it can handle the high power demands of UAV applications. The gravimetric energy density of 229.57 Wh/kg is around the median, providing a solid balance between weight and energy storage. Furthermore, the volumetric energy density of 619 Wh/l exceeds the median of 541.67 Wh/l, allowing for compact battery designs that do not sacrifice performance. This cell is particularly well-suited for applications requiring high energy density, such as long endurance missions and heavy-lift operations. By selecting the 21700-4.5Ah cell, engineers can optimise their UAV battery packs for both weight and power, ensuring that they meet the rigorous demands of modern drone applications.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising UAV battery performance. By modelling load profiles, thermal behaviour, and voltage response, engineers can accurately predict how the Enpower Greentech 21700-4.5Ah cell will perform under various conditions. This approach allows for the identification of the optimal charge and discharge rates, ensuring that the cell operates within safe thermal limits while delivering the required power output. For instance, simulating the thermal rise during high discharge scenarios can help prevent overheating, a common challenge in drone battery design. Additionally, modelling usable energy across different flight profiles enables engineers to select the best cell for specific missions, enhancing overall UAV efficiency. This data-driven approach reduces the reliance on trial-and-error testing, saving time and resources while ensuring that the selected battery meets the operational requirements of the drone.
