EVE Energy 30P Drones Weight v power trade off in pack design - how to pick the right balance.
Explore the EVE Energy 30P cell for drones, optimising weight and power for enhanced performance in UAV applications. Discover its advantages today.
Value Propositions
Cylindrical 18650 form factor for versatile applications.
Nominal capacity of 10.44 Wh and 2.9 Ah for reliable energy supply.
Top-quartile volumetric energy density of 598 Wh/l for compact designs.
Maximum continuous discharge of 30 A, ensuring high performance under load.
Gravimetric power density of 2,250 W/kg, ideal for demanding UAV applications.
About the Cell
The EVE Energy 30P cell is designed in a cylindrical 18650 form factor, providing a nominal capacity of 10.44 Wh and 2.9 Ah. With a volumetric energy density of 598 Wh/l, it ranks in the top-quartile compared to the database median of 542 Wh/l, making it suitable for compact drone applications. Its gravimetric energy density of 218 Wh/kg is also competitive, being around the median of 210 Wh/kg. The cell boasts a maximum continuous discharge of 30 A, which is among the highest in the database, ensuring it can handle demanding power requirements. Additionally, the volumetric power density of 6,186 W/l is significantly higher than the median of 2,029 W/l, making it an excellent choice for high-performance UAVs. This combination of features makes the 30P cell a strong candidate for drone battery design, particularly where weight and power are critical factors.
Application Challenges
In the realm of drones, the challenge of balancing weight and power in battery pack design is paramount. The EVE Energy 30P cell addresses this by providing a high energy density, which is crucial for extending flight times without adding excessive weight. In UAV applications, especially those requiring long endurance or heavy lift capabilities, selecting the right battery cell is essential. The weight versus power trade-off directly impacts the drone's performance, influencing factors such as flight time, payload capacity, and overall efficiency. As drones are increasingly used in demanding environments, including industrial inspections and emergency response, the ability to optimise battery performance while maintaining a lightweight design is critical. The 30P cell's specifications allow for effective UAV battery optimisation, ensuring that operators can achieve the desired performance metrics without compromising safety or reliability.
Why this Cell
The EVE Energy 30P cell is an ideal choice for drone applications due to its impressive specifications. With a nominal capacity of 10.44 Wh and a maximum continuous discharge of 30 A, it supports high energy demands while maintaining a lightweight profile. Its volumetric energy density of 598 Wh/l places it in the top-quartile compared to the database median, allowing for compact battery designs that do not sacrifice performance. This is particularly important in UAV battery pack design, where space is often limited. Furthermore, the cell's gravimetric power density of 2,250 W/kg ensures that it can deliver the necessary power for demanding applications, such as heavy lift or long endurance missions. By choosing the EVE Energy 30P, designers can effectively address the weight versus power challenge, ensuring optimal performance in various drone scenarios.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising battery selection for drone applications. By simulating load profiles, thermal behaviour, and voltage response, engineers can accurately predict how the EVE Energy 30P cell will perform under various conditions. This approach allows for the modelling of heat generation and energy output, ensuring that the selected cell meets the specific requirements of the mission profile. For instance, in scenarios where drones operate in extreme environments or require high discharge rates, simulation helps identify the best performing cells, reducing the risk of mid-air failures. Additionally, by modelling battery thermal management, designers can prevent overheating and ensure safe operation. This predictive capability is essential for UAV battery performance testing, enabling operators to make informed decisions about battery selection and deployment strategies.
