EVE Energy 30PL Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the EVE Energy 30PL cell for drones, designed for mission feasibility assessments. Achieve optimal performance with high energy density and reliability.
Value Propositions
Cylindrical 18650 form factor for versatile applications.
Nominal capacity of 10.95 Wh and 3.0 Ah for reliable energy supply.
Top-quartile volumetric power density of 12,557 W/l for high performance.
Gravimetric energy density of 233 Wh/kg, ideal for lightweight designs.
Maximum continuous discharge of 60 A, supporting demanding applications.
About the Cell
The EVE Energy 30PL cell features a cylindrical 18650 form factor, providing a nominal capacity of 10.95 Wh and 3.0 Ah, making it suitable for various drone applications. With a volumetric energy density of 628 Wh/l, it ranks among the highest in the database, significantly enhancing mission capabilities. The gravimetric energy density of 233 Wh/kg also positions it well for lightweight drone designs. Additionally, the cell boasts a volumetric power density of 12,557 W/l, which is in the top-quartile compared to the median of 2,029 W/l. This ensures that the cell can deliver high power outputs efficiently, which is critical for demanding drone operations. The maximum continuous discharge rate of 60 A allows for robust performance under load, making it an excellent choice for high-energy applications. Overall, the EVE Energy 30PL cell is engineered to meet the rigorous demands of drone technology, ensuring reliability and efficiency in various operational scenarios.
Application Challenges
In the context of drones, mission feasibility assessment is crucial for determining which missions can be executed successfully. The EVE Energy 30PL cell's specifications directly address the challenges faced in this area. For instance, the high nominal capacity of 10.95 Wh and the ability to deliver a maximum continuous discharge of 60 A are essential for ensuring that drones can perform under various conditions without risking battery failure. Additionally, the lightweight design, supported by a gravimetric energy density of 233 Wh/kg, is vital for extending flight times and improving UAV mission endurance. The ability to accurately predict the state of charge (SOC) and manage thermal performance is also critical in preventing overheating and ensuring safe operation in extreme environments. By leveraging simulation and model-based design, operators can make informed go/no-go decisions, enhancing reliability and mission success rates.
Why this Cell
The EVE Energy 30PL cell is specifically designed for drone applications, making it an ideal choice for mission feasibility assessments. With a volumetric energy density of 628 Wh/l, it ranks among the highest in the database, allowing for longer flight times and improved operational efficiency. The maximum continuous discharge rate of 60 A ensures that the cell can handle high power demands, which is essential for applications requiring rapid energy delivery. Furthermore, the cell's gravimetric energy density of 233 Wh/kg supports lightweight drone designs, enabling better payload capacities and extended flight durations. These features collectively contribute to enhanced UAV performance, making the EVE Energy 30PL a top choice for drone battery solutions.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in optimising the performance of the EVE Energy 30PL cell for drone applications. By accurately modelling load profiles, thermal behaviour, and voltage responses, engineers can predict how the cell will perform under various operational scenarios. This approach allows for the identification of optimal charge and discharge rates, ensuring that the cell operates within safe limits while delivering the required power. Additionally, simulations can help in understanding the thermal rise during operation, which is crucial for preventing overheating and ensuring battery safety. By using cell-specific data, operators can make informed decisions regarding mission feasibility, enabling them to assess whether a drone can complete its mission based on current charge levels and environmental conditions. This predictive capability is essential for enhancing reliability and efficiency in drone operations, ultimately leading to successful mission outcomes.
