Tenpower 50XG Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Tenpower 50XG cell for mission feasibility assessments in EVTOL applications, optimising drone battery design and performance.
Value Propositions
Cylindrical 21700 form factor for efficient space utilisation.
Nominal capacity of 18.0 Wh for reliable energy supply.
Top-quartile volumetric energy density of 707 Wh/l for compact designs.
Maximum continuous discharge of 45.0 A, ensuring high performance.
Gravimetric power density of 2314 W/kg, ideal for UAV applications.
About the Cell
The Tenpower 50XG cell features a cylindrical 21700 form factor, optimising space and weight for UAV applications. With a nominal capacity of 18.0 Wh and a nominal current of 5.0 Ah, it provides a reliable energy source for various missions. The cell boasts a volumetric energy density of 707 Wh/l, placing it in the top-quartile compared to the database median of 542 Wh/l, making it suitable for long endurance drone batteries. Additionally, its gravimetric energy density of 257 Wh/kg is significantly above the median of 210 Wh/kg, ensuring lightweight drone battery packs. The cell's volumetric power density of 6360 W/l is among the highest in the database, facilitating high energy demands during flight. Furthermore, the maximum continuous discharge rate of 45.0 A allows for robust performance in demanding applications, ensuring that the cell can handle high discharge rates without compromising safety or efficiency.
Application Challenges
In the context of EVTOL and mission feasibility assessment, the Tenpower 50XG cell addresses critical challenges in drone battery design. The ability to assess what missions or use cases are possible using simulation is vital for ensuring mission success. The high energy density of the 50XG cell allows for extended flight times, which is crucial for applications such as heavy lift drone operations and long endurance missions. Additionally, the cell's performance in extreme environments is essential for reliable operation in various weather conditions. Accurate predictions of battery state of charge (SoC) and thermal management are also critical to prevent overheating and ensure safe operation during missions. The combination of high discharge rates and energy density enables UAV operators to optimise their mission profiles and payload capacities effectively.
Why this Cell
The Tenpower 50XG cell is an excellent choice for EVTOL applications due to its impressive specifications. With a maximum continuous discharge rate of 45.0 A, it is positioned in the top-quartile compared to the median of 30 A in the database, allowing for high power output during critical flight phases. The cell's volumetric energy density of 707 Wh/l, which is +30% vs the database median, ensures that UAVs can carry more energy without increasing weight, thus improving overall mission endurance. Furthermore, the gravimetric power density of 2314 W/kg is significantly higher than the median of 750 W/kg, making it ideal for applications requiring rapid energy delivery. These metrics make the 50XG cell a reliable choice for drone battery optimisation, ensuring that UAVs can perform effectively across various mission profiles.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising the performance of the Tenpower 50XG cell for EVTOL applications. By modelling load profiles, thermal behaviour, and voltage response, engineers can accurately predict how the cell will perform under different conditions. For instance, simulating the thermal rise during high discharge scenarios helps identify potential overheating issues, allowing for better thermal management strategies. Additionally, voltage sag can be assessed to ensure that the cell maintains adequate power output throughout the flight. By using cell-specific data, engineers can determine the usable energy across the entire flight envelope, enabling informed go/no-go decisions for mission feasibility assessments. This approach reduces the risk of mid-air failures and enhances operator confidence in the drone's readiness for critical missions.
