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Tenpower 30TG 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 30TG cell for drones, designed for mission feasibility assessments, ensuring optimal performance and reliability in critical applications.

Value Propositions

  • Cylindrical 21700 form factor for compact design.

  • Nominal capacity of 10.8 Wh and 3.0 Ah for reliable energy supply.

  • Top-quartile volumetric power density of 5,687 W/l, +179% vs median of 2,029 W/l.

  • Gravimetric energy density of 161 Wh/kg, around median for lightweight applications.

  • Maximum continuous discharge of 40 A, top-quartile vs median of 30 A.

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About the Cell

The Tenpower 30TG cell features a cylindrical 21700 form factor, providing a nominal capacity of 10.8 Wh and 3.0 Ah. With a volumetric energy density of 426 Wh/l, it stands out in the market, offering a top-quartile volumetric power density of 5,687 W/l, which is +179% compared to the database median of 2,029 W/l. The gravimetric energy density of 161 Wh/kg is around the median, making it suitable for lightweight drone applications. The cell's maximum continuous discharge rate of 40 A places it in the top-quartile compared to the median of 30 A, ensuring robust performance during demanding missions. This combination of features makes the 30TG an excellent choice for drone battery design, particularly in applications requiring high energy density and power output.

Application Challenges

In the context of drones, mission feasibility assessment is critical for determining what missions or use cases are viable. The ability to accurately assess battery performance under various conditions is essential for ensuring successful operations. The 30TG cell's specifications, including its high energy density and discharge capabilities, directly impact the drone's flight time and operational reliability. For instance, the maximum continuous discharge of 40 A allows for extended flight times, which is crucial for applications such as long endurance drone batteries and heavy lift drone missions. Additionally, understanding the cell's thermal management is vital to prevent overheating and ensure safe operation in extreme environments. This cell's performance characteristics enable operators to make informed go/no-go decisions based on simulation data, ultimately enhancing mission success rates.

Why this Cell

The Tenpower 30TG cell is particularly well-suited for drones due to its impressive specifications. With a maximum continuous discharge rate of 40 A, it is in the top-quartile compared to the median of 30 A, allowing for high discharge rate UAV batteries that can support demanding applications. The volumetric energy density of 426 Wh/l is also noteworthy, as it provides a significant advantage in terms of space efficiency for UAV battery pack design. Furthermore, the gravimetric energy density of 161 Wh/kg ensures that the cell remains lightweight, which is essential for improving UAV mission endurance. These metrics make the 30TG an ideal choice for custom UAV battery packs, as it balances energy capacity with weight, enabling longer flight times and better overall performance.

How Model-Based Design Helps

Simulation and model-based design play a crucial role in optimising the performance of the Tenpower 30TG cell in drone applications. By modelling load profiles, engineers can predict how the cell will behave under various conditions, including thermal rise and voltage sag. This predictive capability allows for accurate assessments of usable energy, which is vital for mission feasibility assessments. For example, simulating different flight scenarios helps determine the optimal discharge rates and energy consumption patterns, ensuring that the drone can complete its mission without mid-air failures. Additionally, these simulations can identify potential overheating issues, enabling engineers to implement effective battery thermal management strategies. Overall, the use of simulation enhances the decision-making process, allowing operators to confidently select the right cell for their specific mission requirements.

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