Samsung 25R 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 Samsung 25R cell for drones, designed for fast charging without overheating. Ideal for UAV battery optimisation and endurance.
Value Propositions
Cylindrical 18650 form factor for compact design.
Nominal capacity of 9.0 Wh and 2.5 Ah for reliable performance.
Top-quartile volumetric energy density of 526 Wh/l for efficient space use.
Maximum continuous discharge of 20.0 A for high power applications.
Gravimetric power density of 1600 W/kg, ideal for lightweight drone battery packs.
About the Cell
The Samsung 25R cell features a cylindrical 18650 form factor, with a nominal capacity of 9.0 Wh and 2.5 Ah. It boasts a volumetric energy density of 526 Wh/l, placing it in the top-quartile compared to the database median of 541.67 Wh/l. Its gravimetric energy density of 200 Wh/kg is around the median of 210 Wh/kg, making it a competitive choice for drone applications. The cell's volumetric power density of 4208 W/l is among the highest in the database, significantly exceeding the median of 2029.31 W/l. Additionally, it supports a maximum continuous discharge of 20.0 A, which is top-quartile compared to the median of 30 A, ensuring it can handle demanding power requirements. This combination of features makes the Samsung 25R an excellent choice for UAV battery pack design, particularly in applications requiring fast charging and high energy density.
Application Challenges
In the context of drones, fast charging presents unique challenges. The need to charge batteries quickly without overheating is critical, as overheating can lead to lithium plating, which degrades battery performance and poses safety risks. The Samsung 25R cell's specifications, including its maximum continuous charge of 4.0 A and a maximum continuous charge rate of 1.6 C, are designed to address these challenges. Effective battery thermal management is essential to prevent overheating during rapid charging. The high energy density of the 25R cell allows for longer flight times, which is vital for applications such as industrial inspections and emergency response. By optimising UAV battery performance, operators can extend flight times and improve mission endurance, ensuring reliability in critical situations.
Why this Cell
The Samsung 25R cell is particularly suited for fast charging in drone applications due to its impressive specifications. With a maximum continuous discharge of 20.0 A, it can deliver high power outputs necessary for demanding UAV operations. Its volumetric energy density of 526 Wh/l ensures that it occupies minimal space while providing substantial energy, making it ideal for lightweight drone battery packs. Compared to the database median, the 25R's volumetric power density of 4208 W/l is among the highest, allowing for efficient energy delivery during rapid charging. This performance is crucial for applications requiring quick turnaround times, such as emergency response missions where every second counts. The combination of high energy density and robust discharge capabilities makes the Samsung 25R a top choice for custom UAV battery packs.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in optimising the performance of the Samsung 25R cell for drone 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 operates safely within its thermal limits. Additionally, simulations can help determine the optimal charging rates and strategies to maximise efficiency while minimising risks associated with lithium plating. By leveraging cell-specific data, designers can make informed decisions about battery pack configurations, enhancing overall UAV powertrain efficiency. This approach not only improves battery performance but also reduces the need for costly trial-and-error testing, leading to faster development cycles and more reliable drone operations.
