Enpower Greentech XNP0094J Drones Weight v power trade off in pack design - how to pick the right balance.
Explore the Enpower Greentech XNP0094J cell for drones, optimising weight and power for enhanced performance in UAV applications.
Value Propositions
Nominal capacity of 32.9 Wh and 9.4 Ah for efficient energy storage.
Volumetric energy density of 607 Wh/l, top-quartile vs median of 542 Wh/l.
Gravimetric energy density of 281 Wh/kg, around median of 210 Wh/kg.
Maximum continuous discharge of 47 A, top-quartile vs median of 30 A.
Volumetric power density of 3036 W/l, +50% vs median of 2029 W/l.
About the Cell
The Enpower Greentech XNP0094J is a pouch cell designed specifically for drone applications, featuring a nominal capacity of 32.9 Wh and 9.4 Ah. Its volumetric energy density of 607 Wh/l places it in the top-quartile compared to the median of 542 Wh/l in the market. Additionally, the gravimetric energy density of 281 Wh/kg is around the median of 210 Wh/kg, making it a competitive option for UAV battery pack design. The cell also boasts a maximum continuous discharge rate of 47 A, which is in the top-quartile compared to the median of 30 A, ensuring robust performance under demanding conditions. Furthermore, with a volumetric power density of 3036 W/l, it exceeds the median of 2029 W/l by +50%, highlighting its capability for high power applications. This combination of features makes the XNP0094J an ideal choice for lightweight drone battery packs, optimising both energy and power for various UAV missions.
Application Challenges
In the realm of drone technology, the challenge of balancing weight and power in battery pack design is critical. Drones require lightweight solutions that do not compromise on energy output, especially for applications such as long endurance flights and heavy lift operations. The Enpower Greentech XNP0094J cell addresses this challenge effectively, providing a high energy density that allows for extended flight times while maintaining a manageable weight. The ability to optimise the weight versus power trade-off is essential for ensuring that drones can perform efficiently in various environments, including extreme conditions. As UAVs become increasingly integral to industries such as logistics, surveillance, and agriculture, the demand for reliable and efficient battery solutions continues to grow. The XNP0094J cell's specifications make it particularly suited for these applications, enabling operators to maximise their drone's capabilities without sacrificing performance.
Why this Cell
The Enpower Greentech XNP0094J cell stands out in the competitive landscape of drone batteries due to its impressive specifications. With a nominal capacity of 32.9 Wh and a maximum continuous discharge rate of 47 A, it is designed to meet the rigorous demands of UAV applications. The cell's volumetric energy density of 607 Wh/l is in the top-quartile compared to the median of 542 Wh/l, allowing for longer flight times without increasing weight. Additionally, its gravimetric energy density of 281 Wh/kg is around the median of 210 Wh/kg, ensuring that it remains lightweight while providing substantial energy output. This balance of energy and power is crucial for applications requiring high discharge rates, such as heavy lift operations and long endurance missions. By choosing the XNP0094J, UAV designers can confidently optimise their battery packs for both performance and efficiency, addressing the core technical keywords of drone battery design and UAV battery optimisation.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in the selection and optimisation of battery cells for drone applications. By simulating load profiles, thermal behaviour, and voltage response, engineers can accurately predict how the Enpower Greentech XNP0094J cell will perform under various conditions. This approach allows for the identification of the optimal cell for specific mission profiles, ensuring that the chosen battery can deliver the required thrust and energy throughout the flight envelope. For instance, modelling the thermal rise and internal temperature of the cell helps prevent overheating, a common challenge in high-discharge scenarios. Furthermore, simulation enables accurate predictions of state-of-charge (SoC), which is critical for mission planning and reliability. By leveraging these advanced modelling techniques, UAV manufacturers can avoid costly trial-and-error testing, streamline their design processes, and ultimately enhance the performance and safety of their drone operations.
