EVE Energy 30P Fast charge of the batteries - how to charge the battery quickly without overheating the cells or causing lithium plating which could degrade the battery or cause it to catch fire.
Discover the EVE Energy 30P cell for fast charging UAV batteries, optimising performance while preventing overheating and degradation. Ideal for drone applications.
Value Propositions
Cylindrical 18650 form factor for versatile applications.
Nominal capacity of 10.44 Wh and 2.9 Ah for reliable energy delivery.
Top-quartile power density (+58% vs median of 750 W/kg) for brisk current draws.
Maximum continuous discharge of 30.0 A, ideal for high-demand UAV applications.
Volumetric energy density of 598 Wh/l, ensuring compact battery designs.
About the Cell
The EVE Energy 30P cell features a cylindrical 18650 form factor, making it suitable for various UAV applications. With a nominal capacity of 10.44 Wh and 2.9 Ah, it delivers reliable energy for demanding tasks. The cell boasts a volumetric energy density of 598 Wh/l, which is significantly above the database median of 542 Wh/l, making it an excellent choice for lightweight drone battery packs. Additionally, its gravimetric energy density of 218 Wh/kg positions it well within the top-quartile range, ensuring high energy output relative to weight. The cell's maximum continuous discharge rate of 30.0 A is particularly noteworthy, as it allows for high discharge rate UAV batteries, essential for applications requiring rapid energy delivery. Furthermore, the volumetric power density of 6186 W/l is among the highest in the database, providing the necessary power for demanding UAV operations.
Application Challenges
In the context of EVTOL and the fast charging of batteries, the challenge lies in ensuring that the cells can be charged quickly without overheating or causing lithium plating. This is critical for maintaining battery integrity and safety. The EVE Energy 30P cell's maximum continuous charge rate of 4.0 A and standard charge current of 1.5 A are designed to facilitate rapid charging while managing thermal performance. The ability to charge efficiently is paramount in drone applications, where extended flight times and quick turnaround are essential. The risk of overheating can lead to battery degradation, impacting mission endurance and safety. Therefore, selecting the right cell with optimal thermal management capabilities is crucial for UAV battery pack design, ensuring that the cells can handle high energy demands without compromising safety.
Why this Cell
The EVE Energy 30P cell is particularly suited for fast charging applications due to its impressive specifications. With a maximum continuous charge rate of 4.0 A, it allows for rapid energy replenishment, which is vital in EVTOL operations. This charge rate is significantly above the database median of 8 A, placing it in the top-quartile for performance. Additionally, the cell's high volumetric energy density of 598 Wh/l ensures that even with rapid charging, the overall battery size remains compact, which is essential for lightweight drone battery packs. The combination of high energy density and robust discharge capabilities makes the 30P an ideal choice for UAV battery optimisation, enabling longer flight times and improved mission endurance. Furthermore, the cell's design mitigates risks associated with overheating, making it a safe option for high-demand applications.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising the performance of the EVE Energy 30P cell for UAV applications. By modelling load profiles and thermal behaviour, engineers can predict how the cell will perform under various conditions, including rapid charging scenarios. This predictive capability allows for the identification of potential overheating issues before they occur, ensuring that the battery can be charged quickly without compromising safety. Additionally, simulations can assess voltage sag and usable energy across different flight profiles, enabling designers to select the most appropriate cells for their specific needs. This approach not only enhances battery thermal management for drones but also supports accurate drone battery state of charge (SOC) prediction, which is vital for mission planning and operational efficiency.
