Tenpower 40XG Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation. Core Technical Keywords
Explore the Tenpower 40XG cell for mission feasibility assessments in EVTOL applications, optimising drone battery performance and endurance.
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 12,934 W/l.
Gravimetric energy density of 211.765 Wh/kg, ideal for lightweight UAVs.
Maximum continuous discharge of 90 A, supporting high-performance applications.
About the Cell
The Tenpower 40XG 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 575 Wh/l, it ranks among the highest in the database, significantly enhancing the energy storage capabilities for UAV applications. The gravimetric energy density of 212 Wh/kg is also noteworthy, ensuring that the cell remains lightweight while delivering substantial power. Furthermore, the cell boasts a volumetric power density of 12,934 W/l, which is top-quartile compared to the median of 2,029 W/l in the database. This makes it an excellent choice for applications requiring quick bursts of energy. The maximum continuous discharge rate of 90 A, equating to a C-rate of 22.5, positions the 40XG as a robust option for high-demand scenarios, ensuring that it can meet the rigorous performance standards expected in the UAV sector.
Application Challenges
In the context of EVTOL and mission feasibility assessment, the ability to accurately predict what missions or use cases are viable is critical. The Tenpower 40XG cell's high energy density and discharge capabilities allow for extended flight times, which is essential for various UAV applications. For instance, in scenarios where drones are deployed for long endurance missions, the energy capacity directly influences the operational range and efficiency. Moreover, the lightweight nature of the cell aids in improving UAV mission endurance, making it suitable for heavy-lift operations and fixed-wing UAV battery solutions. The challenge lies in ensuring that the battery can perform reliably under varying environmental conditions, such as extreme temperatures, which can affect battery performance and safety. The simulation-based approach allows for a thorough assessment of these factors, ensuring that the selected battery can withstand the demands of the mission profile.
Why this Cell
The Tenpower 40XG cell is particularly well-suited for EVTOL applications due to its impressive specifications. With a maximum continuous discharge of 90 A, it is positioned in the top-quartile compared to the median of 30 A in the database, ensuring that it can handle high power demands during critical phases of flight. Additionally, its volumetric energy density of 575 Wh/l is among the highest in the database, providing the necessary energy for long endurance missions. This cell's lightweight design, with a gravimetric energy density of 212 Wh/kg, allows for optimal battery weight versus flight time, making it an ideal choice for UAVs that require efficient energy management. The combination of high energy density and robust discharge capabilities makes the 40XG a prime candidate for custom UAV battery packs, ensuring that operators can confidently select a battery that meets their specific mission requirements.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in the selection of the Tenpower 40XG cell for UAV applications. By modelling load profiles, thermal behaviour, and voltage response, engineers can accurately predict how the cell will perform under various operational conditions. This includes assessing the impact of temperature on battery performance and ensuring that the cell can deliver the required thrust and energy throughout the flight envelope. The ability to simulate different scenarios, such as low state of charge (SoC) and varying temperatures, allows for informed go/no-go decision-making, which is vital in mission-critical applications. Furthermore, this approach helps in identifying the optimal battery configuration for specific missions, ensuring that the selected cell not only meets performance expectations but also adheres to safety standards, thus preventing issues such as overheating and ensuring reliable operation.
