Reliance RS50 Drones Safety and risk management - particularly around overheating and thermal runaway during flight.
Discover the Reliance RS50 cell for drones, optimised for safety and performance in thermal management, ensuring reliable flight operations.
Value Propositions
Cylindrical 21700 form factor for compact design.
Nominal capacity of 18.0 Wh and 5.0 Ah for extended flight time.
Top-quartile volumetric power density of 10,008 W/l for high performance.
Gravimetric energy density of 269 Wh/kg for lightweight applications.
Maximum continuous discharge of 70.0 A for demanding UAV operations.
About the Cell
The Reliance RS50 is a cylindrical 21700 cell designed specifically for drone applications. With a nominal capacity of 18.0 Wh and 5.0 Ah, it provides a robust energy solution for UAVs. The cell boasts a volumetric energy density of 715 Wh/l, which is significantly above the database median of 542 Wh/l, making it suitable for long endurance drone batteries. Additionally, it features a gravimetric energy density of 269 Wh/kg, which is around the median, ensuring a lightweight design that does not compromise on performance. The volumetric power density of 10,008 W/l places it among the highest in the database, allowing for quick energy delivery during critical flight phases. Furthermore, the maximum continuous discharge rate of 70.0 A (14.0 C) is top-quartile compared to the median of 30 A, ensuring that the RS50 can handle high current demands without overheating, which is crucial for safety and risk management in drone operations.
Application Challenges
In the realm of drones, safety and risk management are paramount, especially concerning overheating and thermal runaway during flight. The Reliance RS50 cell addresses these challenges by offering high energy density and robust thermal performance. Drones often operate in extreme environments where battery performance can be compromised. The RS50's high discharge capabilities and efficient thermal management ensure that UAVs can maintain optimal performance even under demanding conditions. This is particularly important for applications such as heavy lift operations and long endurance missions, where the risk of battery failure can lead to catastrophic outcomes. The ability to predict and manage battery performance in varying temperatures and loads is essential for mission success.
Why this Cell
The Reliance RS50 cell is engineered for drones, providing a combination of high energy density and safety features that are critical for UAV applications. With a maximum continuous discharge rate of 70.0 A, it is well-suited for high discharge rate UAV batteries, ensuring that drones can perform demanding tasks without overheating. The cell's volumetric energy density of 715 Wh/l is significantly higher than the median, allowing for lightweight drone battery packs that do not sacrifice performance. This makes the RS50 an ideal choice for custom UAV battery packs designed for long endurance missions. Additionally, its gravimetric power density of 3,761 W/kg is among the highest in the database, enabling efficient power delivery during critical flight phases. This combination of features ensures that the RS50 meets the rigorous demands of drone applications while prioritising safety 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 for drone applications. By simulating load profiles and thermal behaviour, engineers can predict how the cell will perform under various conditions, including high discharge rates and extreme temperatures. This allows for accurate modelling of heat generation and voltage response, which is essential for preventing thermal runaway. For instance, simulations can help identify the optimal charge and discharge rates, ensuring that the RS50 operates within safe limits while delivering the required power. Furthermore, by using cell-specific data, engineers can assess the impact of different mission profiles on battery performance, enabling them to make informed decisions about cell selection and battery pack design. This approach not only enhances the reliability of drone operations but also reduces the risk of costly failures during critical missions.
