Samsung 20S Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Samsung 20S cell for drones, designed for mission feasibility assessments, ensuring optimal performance and reliability in critical operations.
Value Propositions
Cylindrical 18650 form factor for compact design.
Nominal capacity of 7.2 Wh and 2.0 Ah for reliable energy supply.
Top-quartile volumetric power density of 6228 W/l for high performance.
Gravimetric energy density of 150 Wh/kg supports lightweight designs.
Maximum continuous discharge of 30 A for demanding applications.
About the Cell
The Samsung 20S cell features a cylindrical 18650 form factor, providing a nominal capacity of 7.2 Wh and 2.0 Ah. With a volumetric energy density of 415 Wh/l, it ranks around the median in the database, while its gravimetric energy density of 150 Wh/kg is also around the median. The cell boasts a top-quartile volumetric power density of 6228 W/l, making it suitable for high-performance applications. Additionally, it supports a maximum continuous discharge of 30 A, which is significant for demanding drone operations. This combination of features makes the Samsung 20S an excellent choice for UAV battery pack design, particularly in scenarios requiring high energy density and lightweight solutions. The cell's design is optimised for thermal management, ensuring safety and efficiency during operation.
Application Challenges
In the context of drones, the mission feasibility assessment involves determining which missions or use cases are viable based on battery performance. The Samsung 20S cell's nominal capacity of 7.2 Wh is crucial for ensuring that drones can complete their missions without running out of power. The high volumetric energy density of 415 Wh/l allows for longer flight times, which is essential for applications such as surveillance or delivery. Furthermore, the maximum continuous discharge of 30 A enables drones to perform demanding tasks, such as heavy lifting or rapid manoeuvring, without compromising safety. Accurate predictions of state of charge (SoC) and thermal performance are vital to prevent overheating and ensure reliability in various environmental conditions. Therefore, the Samsung 20S cell is well-suited for applications requiring long endurance and high performance in challenging scenarios.
Why this Cell
The Samsung 20S cell is an ideal choice for drones due to its impressive specifications. With a volumetric power density of 6228 W/l, it ranks in the top-quartile compared to the database median of 2029 W/l, making it suitable for applications that demand high power output. Additionally, its gravimetric energy density of 150 Wh/kg aligns with the need for lightweight drone battery packs, ensuring that the overall weight of the UAV is minimised while maximising flight time. The nominal capacity of 7.2 Wh allows for effective energy management, essential for mission feasibility assessments. The combination of these metrics supports the design of custom UAV battery packs that can meet specific mission requirements, enhancing overall operational efficiency.
How Model-Based Design Helps
Simulation and model-based design play a critical role in optimising the performance of the Samsung 20S cell in drone applications. By modelling load profiles, engineers can predict how the cell will behave under various conditions, including thermal rise and voltage sag. This predictive capability allows for the selection of the most suitable cells for specific missions, ensuring that drones can achieve their operational goals without unexpected failures. For instance, simulations can help determine the optimal discharge rates and energy usage across different flight profiles, enabling accurate go/no-go decision-making. Furthermore, understanding the thermal behaviour of the cell helps prevent overheating, ensuring safe operation even in extreme environments. Overall, simulation enhances the reliability of UAV battery performance, making it a vital tool in the design and selection process.
