Samsung 40T 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 40T cell for fast charging UAV applications, optimising performance while preventing overheating and degradation.
Value Propositions
Cylindrical 21700 form factor for compact design.
Nominal capacity of 14.4 Wh and 4.0 Ah for efficient energy storage.
Top-quartile volumetric power density of 6,516 W/l for rapid energy delivery.
Gravimetric energy density of 206 Wh/kg, optimising weight for UAV applications.
Maximum continuous discharge of 45 A, supporting high-performance UAV operations.
About the Cell
The Samsung 40T cell features a cylindrical 21700 form factor, providing a nominal capacity of 14.4 Wh and 4.0 Ah. With a volumetric energy density of 579 Wh/l, it ranks among the highest in the database, significantly enhancing the energy storage capabilities for UAV applications. The gravimetric energy density of 206 Wh/kg ensures that the cell remains lightweight, which is crucial for drone performance. The cell also boasts a volumetric power density of 6,516 W/l, placing it in the top-quartile compared to the median of 2,029 W/l in the database. This high power density allows for rapid energy delivery, essential for fast charging applications. Additionally, the maximum continuous discharge rate of 45 A supports demanding UAV operations, making it an ideal choice for high-performance drone applications.
Application Challenges
In the context of EVTOL and the challenge of fast charging batteries, it is critical to manage the charging process to prevent overheating and lithium plating. Rapid charging can lead to excessive heat generation, which poses risks of battery degradation and potential safety hazards. The Samsung 40T cell's high maximum continuous charge rate of 6 A (1.5 C) allows for efficient charging while maintaining thermal stability. Effective thermal management strategies are essential to ensure that the cell operates within safe temperature limits during fast charging. The ability to deliver high power without overheating is vital for UAV applications, where reliability and safety are paramount. Moreover, the lightweight design of the 40T cell contributes to overall drone efficiency, enabling longer flight times and improved mission endurance.
Why this Cell
The Samsung 40T cell is particularly suited for fast charging applications in UAVs due to its impressive specifications. With a maximum continuous discharge rate of 45 A, it is capable of handling high current demands, making it ideal for applications requiring quick energy bursts. The cell's volumetric energy density of 579 Wh/l is significantly above the median of 541 Wh/l, ensuring that it can store substantial energy in a compact form. This characteristic is crucial for maintaining the lightweight nature of UAVs while providing the necessary power for extended flight times. Furthermore, the high volumetric power density of 6,516 W/l allows for rapid energy delivery, essential for fast charging without compromising safety. The combination of these features makes the Samsung 40T an excellent choice for UAV battery pack design, optimising both performance and safety.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in optimising the performance of the Samsung 40T cell for UAV applications. By modelling load profiles, thermal behaviour, and voltage response, engineers can accurately predict how the cell will perform under various conditions. This approach allows for the identification of optimal charging strategies that minimise the risk of overheating and lithium plating. For instance, simulations can help determine the ideal charge rates and thermal management techniques needed to maintain safe operating temperatures during fast charging. Additionally, by analysing the cell's performance across different mission profiles, designers can ensure that the selected battery meets the specific energy and power requirements of the UAV. This data-driven approach reduces the reliance on trial-and-error testing, leading to more efficient and reliable UAV battery pack designs.
