Reliance RS50 Drones Weight v power trade off in pack design - how to pick the right balance.
Explore the Reliance RS50 cell for drones, optimising weight and power for enhanced performance in UAV applications. Discover its unique features.
Value Propositions
Cylindrical 21700 form factor for compact design.
Nominal capacity of 18.0 Wh and 5.0 Ah for reliable energy supply.
Top-quartile volumetric energy density of 715 Wh/l for efficient space use.
Maximum continuous discharge of 70.0 A, ideal for high-demand applications.
Gravimetric power density of 3761 W/kg, supporting rapid energy delivery.
About the Cell
The Reliance RS50 cell features a cylindrical 21700 form factor, optimising space and weight for drone applications. With a nominal capacity of 18.0 Wh and 5.0 Ah, it provides a reliable energy supply for various UAV operations. The cell boasts a volumetric energy density of 715 Wh/l, placing it in the top-quartile compared to the database median of 542 Wh/l, making it an excellent choice for compact battery designs. Additionally, its maximum continuous discharge rate of 70.0 A positions it among the highest in the database, ensuring it can handle demanding power requirements. The gravimetric energy density of 268.657 Wh/kg also supports lightweight drone battery packs, crucial for maintaining flight efficiency. Overall, the RS50 is designed to meet the rigorous demands of drone applications, balancing weight and power effectively.
Application Challenges
In the realm of drones, the challenge of balancing weight and power in battery pack design is critical. The RS50 cell addresses the need for lightweight drone battery packs while ensuring sufficient power delivery for extended flight times. As UAVs become more prevalent in various sectors, including industrial inspections and emergency services, the demand for high energy density drone batteries increases. The RS50's specifications allow for effective UAV battery optimisation, enabling longer missions without compromising safety or performance. The ability to select the right cell for drone battery design is essential, as it directly impacts the overall efficiency and reliability of the UAV. This cell's performance characteristics are tailored to meet the specific needs of drone applications, ensuring that operators can achieve their mission objectives without the risk of overheating or power loss.
Why this Cell
The Reliance RS50 cell is particularly suited for drone applications due to its impressive specifications. With a maximum continuous discharge rate of 70.0 A, it is positioned among the highest in the database, allowing for rapid energy delivery during critical flight operations. This capability is essential for high-demand applications such as heavy lift drones and VTOL designs, where power requirements can fluctuate significantly. Additionally, the cell's volumetric energy density of 715 Wh/l is top-quartile compared to the median of 542 Wh/l, enabling efficient use of space in battery pack design. This ensures that UAVs can maintain optimal performance while adhering to weight constraints. The RS50's combination of high energy density and robust discharge capabilities makes it an ideal choice for custom UAV battery packs, facilitating improved mission endurance and reliability.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising the performance of the Reliance RS50 cell within drone 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 the most suitable cells for specific missions, ensuring that the selected battery can deliver the required thrust and energy throughout the flight envelope. For instance, simulating different flight scenarios can reveal how the RS50 handles high discharge rates, preventing overheating and ensuring safe operation. Furthermore, accurate modelling of the cell's energy output helps in making informed decisions about mission feasibility, particularly in challenging environments. This predictive capability is essential for enhancing UAV battery performance testing and ensuring that operators can rely on their drones for critical missions.
