Enpower Greentech 21700-4.5Ah Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Enpower Greentech 21700-4.5Ah cell for drones, optimising mission feasibility with high energy density and reliable performance.
Value Propositions
Cylindrical 21700 form factor for versatile drone applications.
Nominal capacity of 15.84 Wh, ideal for extended flight times.
Top-quartile volumetric power density of 8,447 W/l for high-performance demands.
Gravimetric energy density of 230 Wh/kg supports lightweight designs.
Maximum continuous discharge of 60 A enables robust power delivery.
About the Cell
The Enpower Greentech 21700-4.5Ah cell features a cylindrical form factor, making it suitable for various drone applications. With a nominal capacity of 15.84 Wh and a nominal current of 4.4 Ah, it provides reliable energy for demanding missions. The cell boasts a volumetric energy density of 619 Wh/l, which is around the median of 541 Wh/l in the database, ensuring efficient use of space in drone designs. Additionally, its gravimetric energy density of 230 Wh/kg is slightly above the median of 210 Wh/kg, making it a competitive choice for lightweight drone battery packs. The cell's volumetric power density of 8,447 W/l is among the highest in the database, significantly exceeding the median of 2,029 W/l, which is crucial for applications requiring high power outputs. Furthermore, the gravimetric power density of 3,130 W/kg is also among the highest, ensuring that drones can achieve optimal performance during critical missions. With a standard charge current of 2.2 A and a maximum continuous charge of 13.2 A, the cell supports efficient charging cycles, while the maximum continuous discharge of 60 A allows for high energy demands during operation.
Application Challenges
In the context of drones, the mission feasibility assessment involves determining what missions or use cases are viable based on the battery's performance characteristics. The ability to accurately predict the energy output and thermal behaviour of the battery is crucial for ensuring mission success. For instance, in cold-weather environments, the battery's performance can be significantly affected, making it essential to assess the cell's ability to deliver the required thrust and energy throughout the flight. The Enpower Greentech 21700-4.5Ah cell's high energy density and robust discharge capabilities make it suitable for long endurance missions, while its thermal management features help prevent overheating, a common challenge in UAV operations. By leveraging simulation and model-based design, operators can make informed go/no-go decisions, ensuring that drones are ready for deployment under various conditions.
Why this Cell
The Enpower Greentech 21700-4.5Ah cell is an excellent choice for drones due to its impressive specifications. With a maximum continuous discharge of 60 A, it is positioned in the top-quartile compared to the database median of 30 A, allowing for high discharge rates essential for demanding UAV applications. Its volumetric energy density of 619 Wh/l is around the median, ensuring that drones can carry sufficient energy without excessive weight. The cell's gravimetric energy density of 230 Wh/kg also supports lightweight designs, which is critical for enhancing flight time and overall mission endurance. Furthermore, the cell's high volumetric power density of 8,447 W/l enables it to meet the power demands of various drone missions, making it a reliable choice for UAV battery pack design.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in optimising the performance of the Enpower Greentech 21700-4.5Ah cell for drone applications. By modelling load profiles and thermal behaviour, engineers can predict how the cell will perform under different conditions, including varying temperatures and states of charge (SoC). This predictive capability allows for accurate assessments of whether the drone can complete its mission successfully. For example, simulations can reveal how the cell's voltage may sag under load or how heat generation might affect performance, enabling engineers to select the most suitable cells for specific missions. This approach not only enhances the reliability of go/no-go decision-making but also reduces the risk of mid-air failures, ensuring that drones are always mission-ready.
