Reliance RS40 Drones Maximise flight time - optimise the cell selection, duty cycle and flight speed to maximise flight time.
Discover the Reliance RS40 cell for drones, designed to maximise flight time and optimise performance in demanding conditions.
Value Propositions
Cylindrical 21700 form factor for compact design.
Nominal capacity of 14.4 Wh and 4.0 Ah for reliable energy supply.
Top-quartile volumetric power density of 10,008 W/l for high-performance applications.
Gravimetric energy density of 215 Wh/kg, ensuring lightweight solutions.
Maximum continuous discharge of 70 A, ideal for demanding UAV operations.

About the Cell
The Reliance RS40 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 approximately 572 Wh/l, it ranks among the highest in the database, significantly enhancing the energy-to-volume ratio for drone applications. The gravimetric energy density of 215 Wh/kg is also impressive, ensuring that the cell remains lightweight while delivering substantial power. The volumetric power density of 10,008 W/l positions it in the top-quartile, making it suitable for high-performance UAVs. Additionally, the maximum continuous discharge rate of 70 A allows for robust performance under demanding conditions, ensuring that drones can operate effectively in various scenarios. This combination of features makes the RS40 an excellent choice for drone battery design and UAV battery pack design.
Application Challenges
In the context of drones, maximising flight time is critical. The RS40 cell's specifications directly address the challenge of optimising cell selection, duty cycle, and flight speed. With a high energy density, the RS40 enables longer missions without the need for frequent recharges. The ability to maintain a high discharge rate ensures that drones can perform demanding tasks, such as heavy lifting or rapid manoeuvres, without compromising battery life. Furthermore, the lightweight nature of the RS40 cell contributes to overall drone efficiency, allowing for better flight dynamics and extended operational range. In harsh environments, where battery performance can be unpredictable, the RS40's robust design helps prevent overheating and ensures reliable operation, making it a vital component for long endurance drone batteries.
Why this Cell
The Reliance RS40 cell is specifically designed to meet the rigorous demands of drone applications. Its maximum continuous discharge rate of 70 A places it in the top-quartile compared to the median of 30 A in the database, ensuring that it can handle high power requirements during flight. The volumetric energy density of 572 Wh/l is significantly above the median of 542 Wh/l, providing drones with the energy needed for extended missions. This cell's lightweight design, with a gravimetric energy density of 215 Wh/kg, allows for optimal battery weight versus flight time, making it an ideal choice for UAVs focused on endurance. The combination of high energy and power densities makes the RS40 a standout option for custom UAV battery packs, ensuring that operators can achieve their mission objectives without the risk of battery failure.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising the performance of the Reliance RS40 cell for drone applications. By modelling load profiles and thermal behaviour, engineers can accurately predict how the cell will perform under various conditions. This includes assessing voltage sag during high discharge scenarios and understanding the thermal rise that can occur during extended use. Such simulations enable the selection of the most suitable cell for specific mission profiles, ensuring that the RS40 can deliver the required thrust and energy throughout the flight envelope. Additionally, this approach helps in identifying potential overheating issues, allowing for proactive thermal management strategies. By utilising cell-specific data, operators can make informed decisions about battery SOC (State of Charge) predictions, enhancing mission reliability and efficiency.


