Samsung 50S Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation. Core Technical Keywords
Explore the Samsung 50S battery for UAV applications, optimising mission feasibility with high energy density and performance for drone operations.
Value Propositions
Cylindrical 21700 form factor for efficient design.|Nominal capacity of 18.0 Wh for extended missions.|Volumetric energy density of 719 Wh/l, top-quartile vs median.|Gravimetric energy density of 250 Wh/kg, around median.|Maximum continuous discharge of 45.0 A, among the highest in database.
Standard charge current of 2.5 A for efficient recharging.|Maximum continuous charge of 6.0 A, top-quartile vs median.|Standard discharge current of 1.0 A for reliable performance.|High volumetric power density of 6467 W/l, +58% vs median.|Gravimetric power density of 2250 W/kg, among the highest in database.
Lightweight at 72.0 g for improved UAV payload capacity.|Volume of 25.05 litres for compact integration.|Standard charge rate of 0.5 C for optimal charging.|Maximum continuous charge rate of 1.2 C for rapid energy supply.|Designed for high energy density drone batteries.
Ideal for custom UAV battery packs with specific requirements.|Supports drone battery design for various applications.|Optimised for UAV battery performance testing and efficiency.|Facilitates battery thermal management for drones.|Enhances drone powertrain efficiency for longer missions.
Perfect for long endurance drone batteries in demanding environments.|Enables VTOL drone battery pack design for versatile operations.|Supports heavy lift drone batteries for industrial applications.|Addresses swarming drone battery needs for coordinated missions.|Provides solutions for drone batteries in extreme environments.
About the Cell
The Samsung 50S is a cylindrical 21700 lithium-ion cell with a nominal capacity of 18.0 Wh and a nominal capacity of 5.0 Ah. It boasts a volumetric energy density of 719 Wh/l, placing it in the top-quartile compared to the database median of 542 Wh/l. Its gravimetric energy density of 250 Wh/kg is around the median, making it a competitive choice for UAV applications. The cell's volumetric power density of 6467 W/l is among the highest in the database, providing excellent performance for high discharge applications. With a maximum continuous discharge of 45.0 A, it supports demanding operational requirements, ensuring reliability and efficiency in mission-critical scenarios.
Application Challenges
In the context of EVTOL and mission feasibility assessment, the Samsung 50S cell addresses critical challenges in drone battery design. The ability to assess what missions or use cases are possible using simulation is paramount. High energy density is essential for extending drone flight time, while reliable performance under varying conditions is crucial for mission success. The cell's specifications allow for accurate predictions of battery performance, ensuring that UAVs can operate effectively in diverse environments. By utilising simulation, operators can make informed go/no-go decisions, enhancing mission reliability and efficiency.
Why this Cell
The Samsung 50S cell is an ideal choice for EVTOL applications due to its impressive specifications. With a maximum continuous discharge of 45.0 A, it is among the highest in the database, ensuring that UAVs can handle demanding power requirements. The cell's volumetric energy density of 719 Wh/l is in the top-quartile, allowing for longer missions without the need for frequent recharging. This is particularly beneficial for mission feasibility assessments, where understanding energy availability is critical. The combination of high energy density and robust discharge capabilities makes the Samsung 50S a reliable option for UAV battery optimisation.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising the performance of the Samsung 50S cell for UAV applications. By modelling load profiles, thermal behaviour, and voltage response, engineers can predict how the cell will perform under various conditions. This allows for the identification of the most suitable cells for specific missions, ensuring that operators can make informed decisions. The ability to simulate different scenarios, such as low state of charge (SoC) and temperature variations, enables accurate predictions of battery performance, reducing the risk of mid-air failures. Ultimately, this approach enhances the reliability and efficiency of UAV operations, making it a vital tool in mission feasibility assessments.
