Tenpower 25PG Drones Safety and risk management - particularly around overheating and thermal runaway during flight.
Explore the Tenpower 25PG cell for drones, optimised for safety and performance in risk management against overheating and thermal runaway.
Value Propositions
Cylindrical 18650 form factor for compact design.
Nominal capacity of 9.0 Wh and 2.5 Ah for reliable energy supply.
Top-quartile volumetric energy density of 507 Wh/l for efficient space usage.
Maximum continuous discharge of 20.0 A, ensuring high performance under load.
Gravimetric power density of 1600 W/kg, ideal for rapid energy demands.
About the Cell
The Tenpower 25PG cell is designed in a cylindrical 18650 form factor, offering a nominal capacity of 9.0 Wh and 2.5 Ah. With a volumetric energy density of 507 Wh/l, it ranks in the top-quartile compared to the database median of 541.67 Wh/l, making it an efficient choice for drone applications. The gravimetric energy density of 200 Wh/kg is around the median, providing a balanced performance for weight-sensitive designs. Additionally, the cell boasts a volumetric power density of 4058.62 W/l, which is among the highest in the database, ensuring that drones can handle demanding power requirements without overheating. The maximum continuous discharge rate of 20.0 A, equivalent to a C-rate of 8.0, positions it well above the median of 30 A, allowing for robust performance during critical missions.
Application Challenges
In the realm of drones, safety and risk management are paramount, especially concerning overheating and thermal runaway during flight. The ability to manage thermal conditions is crucial for maintaining operational integrity and ensuring the safety of both the drone and its payload. High energy demands during flight can lead to increased temperatures, making it essential to select battery cells that can withstand these conditions without compromising performance. The Tenpower 25PG cell addresses these challenges with its high discharge capabilities and thermal management features, ensuring that drones can operate efficiently even under strenuous conditions. The nominal capacity of 9.0 Wh is particularly beneficial for long endurance missions, where every watt-hour counts towards extending flight time and improving mission success rates.
Why this Cell
The Tenpower 25PG cell is specifically engineered for drone applications, addressing the critical challenge of safety and risk management. With a maximum continuous discharge of 20.0 A, it ensures that drones can perform demanding tasks without overheating, which is vital for maintaining operational safety. The cell's volumetric energy density of 507 Wh/l is advantageous for drone designs that require lightweight and compact battery solutions. This density is particularly important for UAV battery pack design, where space and weight constraints are significant. Furthermore, the gravimetric power density of 1600 W/kg allows for rapid energy delivery, making it suitable for applications that demand high power output, such as heavy lift drones and VTOL designs. Overall, the Tenpower 25PG cell provides a balanced solution for drone manufacturers looking to optimise performance while ensuring safety.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising the performance of the Tenpower 25PG cell for drone applications. By simulating 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 operate efficiently without the risk of thermal runaway. For instance, modelling the thermal behaviour of the cell during high discharge scenarios helps identify potential overheating issues before they occur. Additionally, simulations can assess the usable energy across different flight profiles, enabling designers to optimise battery weight versus flight time. This approach not only enhances the reliability of drone operations but also reduces the need for costly trial-and-error testing, ultimately leading to safer and more efficient UAV designs.
