Tenpower 15SG Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Tenpower 15SG cell for drones, designed for mission feasibility assessment, ensuring reliable performance in critical applications.
Value Propositions
Cylindrical 18650 form factor for compact integration.
Nominal capacity of 5.55 Wh and 1.5 Ah for efficient energy storage.
Top-quartile volumetric power density of 6,257 W/l for high performance.
Gravimetric energy density of 132 Wh/kg for lightweight applications.
Maximum continuous discharge of 30 A for demanding missions.
About the Cell
The Tenpower 15SG cell features a cylindrical 18650 form factor, optimised for drone applications. With a nominal capacity of 5.55 Wh and 1.5 Ah, it provides reliable energy storage for various missions. The cell boasts a volumetric energy density of 313 Wh/l, which is around the median compared to similar cells in the market. Additionally, it has a gravimetric energy density of 132 Wh/kg, which is below the median of 210 Wh/kg, indicating a focus on compact design rather than weight efficiency. The cell's volumetric power density is impressive at 6,257 W/l, placing it in the top-quartile compared to the median of 2,029 W/l. This high power density is crucial for applications requiring quick bursts of energy, such as take-off and rapid manoeuvres. Furthermore, the maximum continuous discharge rate of 30 A allows for robust performance in demanding scenarios, ensuring that the cell can handle high loads without overheating or degrading.
Application Challenges
In the context of drones, the mission feasibility assessment involves determining whether specific missions can be executed based on the battery's performance. This requires a thorough understanding of the energy and power demands during various flight phases. The Tenpower 15SG cell's nominal capacity of 5.55 Wh is essential for ensuring that drones can complete their missions without running out of power. The high volumetric power density of 6,257 W/l supports quick energy delivery, which is critical during take-off and rapid climbs. Additionally, the maximum continuous discharge rate of 30 A ensures that the cell can provide the necessary thrust for heavy-lift operations or during high-speed manoeuvres. The ability to accurately predict the state of charge (SoC) and manage thermal performance is vital to prevent overheating and ensure safe operation in extreme environments. The lightweight design of the cell, while not the highest in energy density, allows for more payload capacity, which is a significant consideration in mission planning.
Why this Cell
The Tenpower 15SG cell is particularly suited for drone applications due to its combination of energy and power characteristics. With a maximum continuous discharge of 30 A, it is in the top-quartile compared to the median of 30 A, making it ideal for high-demand scenarios. The cell's volumetric energy density of 313 Wh/l is around the median, ensuring that it can fit into compact designs while still providing sufficient energy for extended missions. The high volumetric power density of 6,257 W/l allows for rapid energy delivery, which is crucial during critical flight phases. This makes the 15SG an excellent choice for UAV battery pack design, where performance and reliability are paramount. The cell's characteristics support the need for lightweight drone battery packs, enabling longer flight times and improved mission endurance.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising the performance of the Tenpower 15SG cell in drone applications. By modelling the electrical and thermal behaviour of the cell under various load conditions, engineers can predict how the cell will perform during different mission profiles. This includes assessing voltage sag, thermal rise, and usable energy throughout the flight. For instance, simulations can help determine the optimal charge and discharge rates, ensuring that the cell operates within safe limits while delivering the required power. By accurately predicting the state of charge (SoC) and thermal performance, operators can make informed go/no-go decisions, reducing the risk of mid-air failures and enhancing mission reliability. This approach not only improves the selection process for drone battery cell selection but also aids in UAV battery optimisation, ensuring that the best cells are chosen for specific mission requirements.
