Enpower Greentech XNP0094J Drones 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 Enpower Greentech XNP0094J cell for drones, designed for fast charging without overheating, ensuring safety and efficiency in UAV applications.
Value Propositions
Pouch form factor with a nominal capacity of 32.9 Wh and 9.4 Ah.
Volumetric energy density of 607 Wh/l, top-quartile vs median of 541 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 cell is a pouch-type lithium-ion battery designed specifically for drone applications. With a nominal capacity of 32.9 Wh (9.4 Ah), it offers impressive performance metrics essential for UAV operations. The cell boasts a volumetric energy density of 607 Wh/l, placing it in the top-quartile compared to the median of 541 Wh/l in the database. Its gravimetric energy density stands at 281 Wh/kg, which is around the median of 210 Wh/kg, making it a competitive choice for lightweight drone battery packs. Additionally, the cell features a maximum continuous discharge rate of 47 A, which is significantly above the median of 30 A, ensuring that it can handle high power demands during operation. The volumetric power density of 3036 W/l further enhances its suitability for applications requiring quick bursts of energy, being +50% higher than the median of 2029 W/l.
Application Challenges
In the context of drones, the challenge of fast charging batteries is critical. Drones require batteries that can be charged quickly to maximise operational time while ensuring safety. The risk of overheating and lithium plating during rapid charging can lead to battery degradation or even catastrophic failure. Therefore, selecting the right cell, like the Enpower Greentech XNP0094J, is essential for achieving high energy density without compromising safety. The ability to charge at a maximum continuous rate of 18.8 A (2.0 C) allows for efficient energy replenishment, crucial for applications such as long endurance drone batteries and heavy lift drone batteries. The design must also consider thermal management to prevent overheating, which is vital for maintaining battery integrity during high discharge scenarios.
Why this Cell
The Enpower Greentech XNP0094J cell is particularly well-suited for fast charging in drone applications due to its impressive specifications. With a maximum continuous charge rate of 18.8 A (2.0 C), it allows for rapid energy replenishment, essential for maintaining drone mission efficiency. Its volumetric energy density of 607 Wh/l is among the highest in the database, ensuring that drones can carry more energy without increasing weight. This is critical for UAV battery optimisation, where every gram counts towards flight time. Furthermore, the cell's maximum continuous discharge of 47 A positions it in the top-quartile, enabling drones to perform demanding tasks without risking battery failure. The combination of high energy density and robust discharge capabilities makes the XNP0094J an ideal choice for custom UAV battery packs.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising battery performance 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 modelling allows for the identification of potential overheating issues during fast charging and helps in designing effective thermal management systems. Additionally, simulations can assess the usable energy across different flight scenarios, ensuring that the selected cell meets the specific demands of the mission. For instance, by modelling the thermal rise and energy output during high discharge rates, engineers can select the best cell for heavy-lift drone missions, maximising both payload and flight time. This data-driven approach reduces the risk of trial-and-error testing, leading to more reliable and efficient UAV battery designs.
